Ontology Learning & Dialog Systems


Ontology Learning

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AIML & Ontologies | Automatic Ontology & Dialog SystemsDatabases & OntologiesMindNetNatural Language & OntologiesOntoBuilderOntologies & Dialog SystemsOntology In Dialog Systems


Linginfo: Design and applications of a model for the integration of linguistic information in ontologies P Buitelaar, T Declerck, A Frank… – Proceedings of the …, 2006 – pub.uni-bielefeld.de … SmartWeb integrates question answering and ontology-based information extraction within a multimodal dialog system for a wide range of mobile … a variety of techniques that range from semi- to fully automatic linguistic and semantic tagging to data-driven ontology learning. … Cited by 57 Related articles All 21 versions Cite Save More

Towards ontology-based pragmatic analysis B Loos, R Porzel – Proceedings of DIALOR, 2005 – smartweb-project.org … 2003. Less is more: Using a single knowledge rep- resentation in dialogue systems. In Proceedings of the HLT/NAACL Text Meaning Workshop, Edmon- ton, Canada. … In ECAI-2004 Workshop on Ontology Learning and Population, Valencia, Spain. Wolfgang Wahlster. 2004. … Cited by 12 Related articles All 5 versions Cite Save More

Dialogue systems go multimodal: the SmartKom experience W Wahlster – … : foundations of multimodal dialogue systems, 2006 – Springer Page 1. Dialogue Systems Go Multimodal: The SmartKom Experience … DFKI GmbH, Saarbrücken, Germany wahlster@dfki.de Summary. Multimodal dialogue systems exploit one of the major characteristics of human- human interaction: the coordinated use of different modalities. … Cited by 18 Related articles All 6 versions Cite Save

Ontology-based speech act identification in a bilingual dialog system using partial pattern trees JF Yeh, CH Wu, MJ Chen – Journal of the American Society for …, 2008 – Wiley Online Library … Research Article. Ontology-based speech act identification in a bilingual dialog system using partial pattern trees. … Experimental results and discussions are presented. Finally, we summarize the findings and describe future work. Framework of the Ontology-Based Dialog System. … Cited by 11 Related articles All 4 versions Cite Save

Ontology-based user modelling personalization: Analyzing the requirements of a semantic learning portal L Razmerita, MD Lytras – … Technologies and Information Systems for the …, 2008 – Springer … Kobsa (1989) analyses the characteristics of user-modeling systems designed in the context of natural language dialog systems. … Learning Communities module • Team Learning and Management Page 8. Ontology-Based User Modelling Personalization 361 … Cited by 8 Related articles All 5 versions Cite Save

Scaling natural language understanding via user-driven ontology learning B Loos – Proceedings of the Third Workshop on Scalable …, 2006 – dl.acm.org … For ex- ample, the term Lotus can refer to a flower, a specific type of car or among copious other real world enti- ties to a restaurant in Heidelberg. Therefore, a scal- able ontology learning framework in a dialog system requires at least the following ingredients: … Cited by 5 Related articles All 10 versions Cite Save

Dynamic Use of Ontologies in Dialogue Systems. JP Pardal – HLT-NAACL (Doctoral Consortium), 2007 – aclweb.org … Handbook on Ontologies, chapter Ontology learning. Internatio- nal Handbooks on Information Systems. Springer. Michael McTear. 2002. … 2003. Ontology- based dialogue systems. In 3rd Workshop on Kno- wledge and Reasoning in Practical Dialogue Systems –18th IJCAI03. … Cited by 5 Related articles All 11 versions Cite Save More

Argument-based learning communities GS Mahalakshmi, TV Geetha – Knowledge-Based Systems, 2009 – Elsevier … A generic framework for dialogue games [22], protocols, or dialogue systems, for argumentation, persuasion or debate have been discussed extensively [7], [11], [25], [26] and [32]. The component of dialogue games are a combination of moves and counter-moves. … Cited by 11 Related articles All 3 versions Cite Save

The Cornetto database: Architecture and user-scenarios P Vossen, K Hofmann, M de Rijke, ETK Sang… – Proceedings …, 2007 – vossen.info … Dialogue systems can thus be made more natural and ro- bust but also be more useful using a semantic database like Cornetto. … Efficient hierarchical entity classification using conditional random fields. In Proceedings of the 2nd Workshop on Ontology Learning and Population. … Cited by 23 Related articles All 18 versions Cite Save More

Ontology-based information extraction and integration from heterogeneous data sources P Buitelaar, P Cimiano, A Frank, M Hartung… – International Journal of …, 2008 – Elsevier … We discuss the implementation and application of the SOBA system within the SmartWeb multimodal dialog system. … The structure of the paper is as follows. In Section 2 we provide the background of the SOBA system, which is part of the SmartWeb multimodal dialog system. … Cited by 64 Related articles All 9 versions Cite Save

Natural language processing for ambient intelligence I Gurevych, M Mühlhäuser – Künstliche Intelligenz/Special …, 2007 – seemoo.tu-darmstadt.de … into three categories: (i) semantic analysis (ontology learning, reasoning and mapping, text mining), (ii) information management (information retrieval, automatic summarization, information extraction, question answering), and (iii) speech processing and dialogue systems. … Cited by 12 Related articles All 6 versions Cite Save More

Supporting web-based address extraction with unsupervised tagging B Loos, C Biemann – Data Analysis, Machine Learning and Applications, 2008 – Springer … Proceedings of ICML- 01, pp. 282–289. LOOS, B. (2006): On2L – A Framework for Incremental Ontology Learning in Spoken Dialog Systems. Proc. COLING/ACL-06 SRW, Sydney, Australia MCCALLUM, AK (2002): MALLET: A Machine Learning for Language Toolkit. … Cited by 8 Related articles All 8 versions Cite Save

Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both? M Poesio – Applied Ontology, 2005 – IOS Press … GUS, a frame-driven dialogue system. Artificial Intelligence Journal, 8(2). Brewster, C., Iria, J., Ciravegna, F., & Wilks, Y. (2005). The ontology: Chimaera or Pegasus. … Maedche A., & Staab, S. (2001). Ontology learning for the semantic web. IEEE Intelligent Systems, 16(2), 72–79. … Cited by 9 Related articles All 11 versions Cite Save

[BOOK] A multilingual/multimedia lexicon model for ontologies P Buitelaar, M Sintek, M Kiesel – 2006 – Springer … used within the SmartWeb project, which aims at the development of a complex multi-modal question answering and dialog system that derives … which will allow for more efficient automatic proc- essing of textual and image data in knowledge markup, ontology learning and other … Cited by 27 Related articles All 9 versions Cite Save

OntoPlus: Text-driven ontology extension using ontology content, structure and co-occurrence information I Novalija, D Mladeni?, L Bradeško – Knowledge-Based Systems, 2011 – Elsevier … Lexico-syntactic pattern-based ontology learning is handled by Text2Onto [24], a framework for ontology learning and data-driven change discovery. … semi-automatic approach for Cyc KB extension presented in [28] is based on the user-interactive dialogue system for knowledge … Cited by 9 Related articles All 4 versions Cite Save

Sub-symbolic semantic layer in cyc for intuitive chat-bots G Pilato, A Augello, G Vassallo… – … Computing, 2007. ICSC …, 2007 – ieeexplore.ieee.org … chat- bots have been provided with advanced reasoning capabilities through the linking of the AIML interpreter with the OpenCyc commonsense ontology[8]. The benefits of ontological resources for a spoken dialog system have also … [5] Biemann C.: Ontology learning from text … Cited by 9 Related articles All 4 versions Cite Save

Combining statistical similarity measures for automatic induction of semantic classes A Pangos, E Iosif, A Potamianos… – … 2005 IEEE Workshop …, 2005 – ieeexplore.ieee.org … For example, a natural language under- standing module, embedded in a computer dialogue system, de- mands knowledge of semantic classes, in order to extract the in- formation from … [9] Maedche, A. and Staab, S., “The Text-to-Onto Ontology Learning Environment.” Institute … Cited by 8 Related articles All 5 versions Cite Save

An Iterative Method of Extracting Chinese ISA Relations for Ontology Learning L Liu, S Zhang, L Diao, C Cao – Journal of Computers, 2010 – ojs.academypublisher.com … Index Terms—Relation Acquisition, Knowledge Acquisition, Information Extraction, Ontology Learning, ISA Relation. … play a crucial role in various NLP (Natural Language Processing) systems, such as systems for information extraction, information retrieval, and dialog systems. … Cited by 4 Related articles All 10 versions Cite Save

Creating ontologies for content representation—the OntoSeed suite EP Bontas, D Schlangen, T Schrader – On the Move to Meaningful Internet …, 2005 – Springer … Ontologies have been used for a long time in many NLP applications, be that machine translation [20], text understanding [14], or dialogue systems (some recent examples are [12, 29]), and are of course central to information-extraction or Semantic Web-related NLP … Cited by 10 Related articles All 12 versions Cite Save

Psychiatric document retrieval using a discourse-aware model LC Yu, CH Wu, FL Jang – Artificial Intelligence, 2009 – Elsevier … [29] R. Navigli, P. Velardi, A. Gangemi, Ontology learning and its application to automated terminology translation, IEEE Intell. Syst. … [52] JF Yeh, CH Wu, MJ Chen, Ontology-based speech act identification in a bilingual dialog system using partial pattern trees, J. Am. Soc. Inf. Sci. … Cited by 17 Related articles All 7 versions Cite Save

Aspects of automatic ontology extension: adapting and regeneralizing dynamic updates E Ovchinnikova, KU Kühnberger – … on Advances in ontologies-Volume 72, 2006 – dl.acm.org … Examples for applications of ontologies in AI are expert systems, dialogue systems, robotics, reason- ing systems, web services, and text … in the knowledge base (called ABox in DL) for the further investigation.1 Approaches of automatic ontology learning and automatic ontology … Cited by 7 Related articles All 7 versions Cite Save

Autonomous language development using dialogue-act templates and genetic programming JH Hong, S Lim, SB Cho – Evolutionary Computation, IEEE …, 2007 – ieeexplore.ieee.org … 309–312. [26] R. Navigli et al., “Ontology learning and its application to automated terminology translation,” IEEE Intell. … 905–919, 1986. [28] H. Oh and I. Rudnicky, “Stochastic natural language generation for spoken dialog systems,” Computer Speech and Language, vol. 16, no. … Cited by 5 Related articles All 6 versions Cite Save

Ontology Learning from Text: Methods, Evaluation and Applications Paul Buitelaar, Philipp Cimiano, and Bernado Magnini (editors)(DFKI Saarbrücken, University of … C Brewster – Computational Linguistics, 2006 – MIT Press … The application in their scenario is the identification of correct speech-recognition hypotheses in dialogue systems, where the correct hypotheses have … The importance of term recognition in ontology learning is a recurrent theme in this volume, but the authors do not clearly link … Cited by 2 Related articles Cite Save

On2L: a framework for incremental ontology learning in spoken dialog systems B Loos – Proceedings of the 21st International Conference on …, 2006 – dl.acm.org Abstract An open-domain spoken dialog system has to deal with the challenge of lacking lexical as well as conceptual knowledge. As the real world is constantly changing, it is not possible to store all necessary knowledge beforehand. Therefore, this knowledge has to … Cited by 1 Related articles All 10 versions Cite Save

Semantic similarity measures for the development of thai dialog system K Osathanunkul, J O’Shea, Z Bandar… – Agent and Multi-Agent …, 2011 – Springer … Thai Dialog System Khukrit Osathanunkul, James O’Shea, Zuhair Bandar, and Keeley Crockett … Abstract. Semantic similarity plays an important role in a number of applications including information extraction, information retrieval, document clustering and ontology learning. … Cited by 2 Related articles All 8 versions Cite Save

Ontological modeling for interactive question answering R Basili, D De Cao, C Giannone – On the Move to Meaningful Internet …, 2007 – Springer … Section 4 will report performance measures of the REQUIRE dialog system that result in an indirect evaluation of the proposed … and ontologi- cal knowledge is thus made automatically according to quantitative models of semantic similarity [8] and ontology learning [9], discussed … Cited by 4 Related articles All 3 versions Cite Save

Towards Evaluating the Core Technology Cluster of the German Research Project THESEUS P Dunker, JJB Vicente… – ImageCLEF Workshop …, 2008 – theseus.joint-research.org … Page 26. 16.09.2008, Aarhus, Denmark » Situation Aware Dialogue Shell for the Semantic Access to Media and Services » Goals for the design and evaluation of dialogue systems [ISO9241-110]: » Suitability for the task, controllability, error tolerance, etc. … Cited by 2 Related articles All 8 versions Cite Save More

Automated Dialogue-Based Ontology Elicitation E Costetchi, E Ras, T Latour – Procedia Computer Science, 2011 – Elsevier … towards combining knowledge elicitation techniques (expertise in triggering knowledge evocation), and ontology learning techniques (expertise in recognizing ontological knowledge), into formal ontology elicitation techniques, which can be applied in a dialogue system. … Cited by 1 Related articles All 2 versions Cite Save

Content and structure in the aspect of semi-automatic ontology extension I Novalija, D Mladenic – Information Technology Interfaces (ITI), …, 2010 – ieeexplore.ieee.org … Ontology Learning from Text: Methods, Evaluation and Applications. IOS Press; 2005. … [12] Witbrock M, Baxter D, Curtis J, Schneider D, Kahlert R, Miraglia P, Wagner P, Panton K, Matthews G, Vizedom A. An Interactive Dialogue System for Knowledge Acquisition in Cyc. … Cited by 3 Related articles All 2 versions Cite Save

Integrating domain and paradigmatic similarity for unsupervised sense tagging R Basili, M Cammisa, AM Gliozzo – FRONTIERS IN ARTIFICIAL …, 2006 – ebooks.iospress.nl … idea within an unsupervised framework aiming to address the semantic disambiguation problem of classical AI tasks, eg query translation and ontology learning. … ios where just small texts are available, as in most of the typical IA settings (eg dialogue systems, natural language … Cited by 6 Related articles All 7 versions Cite Save More

A model for generating personalised learning experiences GR Mangione, P Anna, S Salerno – International Journal of …, 2009 – Inderscience … important role in text-related research and applications in areas such as text mining, web page retrieval and dialogue systems. … Consequently, it is necessary to rethink ontology learning solutions that may integrate the knowledge engineering life cycle, through the acceptance of … Cited by 3 Related articles All 2 versions Cite Save

Learner ontology for the Active Semantic Learning System I Szilagyi, I Roxin – … 2012 IEEE 12th International Conference on, 2012 – ieeexplore.ieee.org … II. USER AND LEARNER MODELING User modeling already exists in many systems over the web [2]. In [3], a user model is defined, as “a knowledge source in a natural-language dialog system which contains … ser Models in Dialog Systems. ser Models in Dialog Systems. … Cited by 1 Related articles All 4 versions Cite Save

An automatic approach for ontology-based feature extraction from heterogeneous textual resources C Vicient, D Sánchez, A Moreno – Engineering Applications of Artificial …, 2013 – Elsevier … They use several Ontology Learning techniques already developed for the OntoEdit system ( Staab and Maedche, 2000). … Another domain-dependent system is SOBA (Buitelaar et al., 2008), a sub-component of the SmartWeb (a multi-modal dialog system that derives answers … Cited by 10 Related articles All 4 versions Cite Save

On whose shoulders? Y Wilks – Computational Linguistics, 2008 – MIT Press … At Stanford as a post-doc, I was on the same corridor as Winograd, just arrived from MIT; Schank, then starting to build his Conceptual Dependency empire; and Colby and his large team building the PARRY dialogue system, which included Larry Tesler, later the Apple software … Cited by 4 Related articles All 7 versions Cite Save

[BOOK] Advances in knowledge-based and Intelligent Information and Engineering Systems M Graña, C Toro, J Posada, RJ Howlett, LC Jain – 2012 – books.google.com Page 1. p-éwg AovAm’is m KNQwLEDGE-BAS’ED AWilNTELLlGENf-J INFORMATION AND ENGINEERIN TEMS\ f ‘-Edited by.’51% Manuel Gra?a ‘) 3′-> T.’ _. _£ ar| osToro (at. x”“3;, v , e Po adaw,”‘ \ Page 2. ADVANCES IN KNOWLEDGE … Cited by 2 Related articles All 2 versions Cite Save

An introduction to hybrid semantics: the role of cognition in semantic resources A Oltramari – Modeling, Learning, and Processing of Text …, 2012 – Springer … in this paper, we introduce here the general features of TMEO, a tutoring methodol- ogy to support semi-automatic ontology learning by means of … the OWL model (for instance, in the Protégé frame-based platform15): in fact, the actual Q/A dialog system retrieves information from … Cited by 3 Related articles All 4 versions Cite Save

Mining preorder relation between knowledge units from text J Liu, L Jiang, Z Wu, Q Zheng, Y Qian – … of the 2010 ACM Symposium on …, 2010 – dl.acm.org … [6] XY Du, M. Li, S. Wang. A Survey on Ontology Learning Research. Journal of Software, 2006, 17(9):1837-1847. [7] F. Michael and H. Eduard. … [9] M. Witbrock, D. Baxter, J. Curtis, et al. An Interactive Dialogue System for Knowledge Acquisition in CYC. … Cited by 2 Related articles All 3 versions Cite Save

A Two-Stage Approach for Context-Dependent Hypernym Extraction B Loos, M DiMarzo – Data Analysis, Machine Learning and Applications, 2008 – Springer … For our approach we worked with named entities, as these are the class of words which are most likely to be new to the dialog system. … is applied in cases where the hypernym of a given noun or named entity has to be found for example as part of an ontology learning framework … Cited by 1 Related articles All 3 versions Cite Save

Context,(e) Learning, and Knowledge Discovery for Web User Modelling: Common Research Themes and Challenges B Berendt – Data Mining for User Modeling On-line …, 2007 – educationaldatamining.org … This raises the question: To what extent can semantics be learned (semi-)automatically? A large number of proposals for ontology learning and instance learning exist (see the survey in [52]), and the idea is being explored for learning ed- ucational metadata [19]. … Cited by 1 Related articles All 9 versions Cite Save More

Knowledge Capturing Tools for Domain Experts. L Bröcker, M Rössler, A Wagner – SAAKM, 2007 – ceur-ws.org … In Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Seattle, WA, 2001. [14] R. Navigli, P. Velardi, and A. Gangemi. Ontology learning and its application to automated terminology translation. … Cited by 1 Related articles All 4 versions Cite Save More

Using a lexical dictionary and a folksonomy to automatically construct domain ontologies D Macías-Galindo, W Wong, L Cavedon… – AI 2011: Advances in …, 2011 – Springer … In: Knowledge Representation and Reasoning for Practical Dialogue Systems, pp. 16–23 (2011) 14. … In: Wong, W., Liu, W., Bennamoun, M. (eds.) Ontology Learning and Knowledge Discovery Using the Web. IGI Global (2011) 16. … Cited by 1 Related articles All 7 versions Cite Save

AI’s 10 to Watch. JA Hendler, P Cimiano, DA Dolgov, A Levin… – IEEE Intelligent …, 2008 – ai.stanford.edu … This research ultimately led to the publication of Ontology Learning and Population from Text: Algorithms, Evaluation and Applications … to language processing has important applications not only in ques- tion answering, information extraction, and dialogue systems but also in … Cited by 1 Related articles All 8 versions Cite Save More

A Verification Method of Hyponymy between Chinese Terms Based on Concept Space L Liu, S Zhang, LH Diao, SY Yan, CG Cao – Active Media Technology, 2009 – Springer … a crucial role in various NLP (Natural Language Processing) systems, such as systems for information extraction, information retrieval, and dialog systems. … The hyponymy is acquired iteratively by the use of natural language analysis techniques in ontology learning [5]. Sánchez … Cited by 1 Related articles All 5 versions Cite Save

Linking and validating Nordic and Baltic wordnets BS Pedersen, M Forsberg, L Borin… – Proceedings of the …, 2012 – spraakbanken.gu.se … BLARK lists Computer Assisted Language Learning (CALL), speech input, speech output, dialogue systems, document production, information ac- cess and translation applications as … Ontology Learning and Population from Text: Algorithms, Evaluation and Applica- tions. … Cited by 7 Related articles All 7 versions Cite Save More

Combining Information Extraction and Knowledge Acquisition for Spoken Dialog Systems B Loos, HP Zorn – nlp.shef.ac.uk … The advancement of the described ontology learning framework in connection with a spoken dialog system (eg SmartWeb, as described in Section 3) is, that new words can be processed and can be used for infor- mation extraction and knowledge acquisition during the time of … Related articles Cite Save More

Ontology structure comparison Department of Computer Science, Faculty of Computer and Mathematical Sciences, Shah Alam, Selangor, Malaysia KN Ismail, ZA Bakar – e-Learning, e-Management and e- …, 2013 – ieeexplore.ieee.org … with some elements of automatic methods [6]. Semi-automatic ontology extension based on the user-interactive dialogue system for knowledge acquisition [7], augmenting Cyc ontology using pattern matching and link analysis [8]. Apart from that, Ontology learning is used to … Related articles Cite Save

A Semantic Memory for Incremental Ontology Population. B Loos, L Schwarten – LREC, 2008 – repository.dlsi.ua.es … In an incremental ontology learning and population framework (as eg applied in open-domain dialog systems) this approach is not sufficient as knowledge about the real world is dynamic and, therefore, has to be acquired and updated constantly. … Related articles All 7 versions Cite Save More

A Hybrid Approach for Extending Ontology from Text W He, S Li, X Yang – Natural Language Processing and Chinese …, 2013 – Springer … G., Vizedom, A.: An Interactive Dialogue System for Knowledge Acquisition in Cyc. In: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, pp. 138–145 (2003) 6. Cimiano, P., Völker, J.: Text2Onto A Framework for Ontology Learning and Data … Related articles All 3 versions Cite Save

Ontology Based Contextual Intent Recognition for Speech Gesture Utterances MR Saktheeswari, MN Devi – ijritcc.org … which can be represented in the ontology by the DOLCE module Descriptions and Situations. Furthermore our goal is, to integrate the ontology learning framework into the open-domain spoken dialog system. REFERENCES … Related articles All 3 versions Cite Save More

Design of an eLearning System for Accreditation of Non-formal Learning E Kovatcheva, R Nikolov – 2008 – research.uni-sofia.bg … part of education • Domain module – navigates the user through the learning process, eg through the Planning Agent, Curriculum, Dialog System, knowledge of … Learning Objects (LO) are chunks of elementary knowledge in the domain (Table 1). In this system the expert module … Related articles All 7 versions Cite Save

Searching for grammar right V Micelli – Proceedings of the Third Workshop on Scalable …, 2006 – dl.acm.org … Proceedings of the 9th EURALEX International Congress, Stuttgart, Germany. Loos, B. 2006. Scaling natural language understanding via user-driven ontology learning. This volume. Loos, B. and Porzel, R. 2004. Resolution of Lexical Ambiguities in Spoken Dialogue System. … Related articles All 6 versions Cite Save

Building a concept shell: ontology population with facts from WWW I Novalija, D Mladeni? – 2010 – ailab.ijs.si … 2004. [6] P. Cimiano, J. Völker. Text2Onto A Framework for Ontology Learning and Data-driven Change Discovery. Proc. … An Interactive Dialogue System for Knowledge Acquisition in Cyc. Proc. of the Eighteenth International Joint Conference on Artificial Intelligence. 2003. Related articles All 3 versions Cite Save More

Data Mining and Query Answer techniques applied to a bio-nutritional trials focused Expert System D Ria?o – … Research and Development: Proceedings of the …, 2012 – books.google.com … For this, a dialog system has been built, in which a user is able to ask for some information or action in its own language and, the system, using … [7] K. Liu, WR Hogan, RS Crowley, Natural Language Processing methods and systems for biomedical ontology learning, Journal of … Related articles Cite Save

Exploiting the Arabic Wikipedia for semi–automatic construction of a lexical ontology MM Boudabous, LH Belguith, F Sadat – International Journal of …, 2013 – Inderscience … to several topics: Arabic text analysis, automatic abstracting, question-answering systems, Human-machine spoken dialogue systems, automatic translation. … type of input used as a source of knowledge to make a distinction between the different approaches to ontology learning. … Related articles All 2 versions Cite Save

Managing Knowledge in a World of Networks SSV Svátek – 2006 – Springer … sessions were those devoted to different as- pects of the ontology lifecycle: Ontology Engineering, Ontology Learning and Ontology … Knowledge Acquisition KARaCAs: Knowledge Acquisition with Repertory Grids and Formal Concept Analysis for Dialog System Construction … Cite Save

Creating ontologies for content representation—the OntoSeed suite EPB Simperl, D Schlangen – Journal on data semantics IX, 2007 – Springer … For this reason, knowledge acquisition techniques such as ontology reuse, ontology learning from texts or on- tology lifting from semi-structured … for a long time in many NLP applications, be that machine translation [27], text understanding [18], or dialogue systems (some recent … Related articles All 10 versions Cite Save

ACL Lifetime Achievement Award OW Shoulders – Computational Linguistics, 2008 – staffwww.dcs.shef.ac.uk … At Stanford as a post-doc, I was on the same corridor as Winograd, just arrived from MIT; Schank, then starting to build his Conceptual Dependency empire; and Colby and his large team building the PARRY dialogue system, which included Larry Tesler, later the Apple software … Related articles Cite Save More

Automatic Verification of “isa” Relations Based on Features L Liu, S Zhang, LH Diao, SY Yan… – Fuzzy Systems and …, 2009 – ieeexplore.ieee.org … a crucial role in various NLP (Natural Language Processing) systems, such as systems for information extraction, information retrieval, and dialog systems. … The “isa” relation is acquired iteratively by the use of natural language analysis techniques in ontology learning [6]. In our … Related articles All 6 versions Cite Save

Towards efficient sport data integration through semantic annotation QM Nguyen, TD Cao, HC Nguyen… – … (KSE), 2012 Fourth …, 2012 – ieeexplore.ieee.org … The SmartWeb [7] system is a multimodal dialog system deriving answers from semantic web services. … The former is a system for ontology-based semantic annotation, and the latter is a system for ontology learning and domain exploration. … Related articles All 4 versions Cite Save

Towards an optimal ontology construction N Ponomareva – 2008 – users.dsic.upv.es … Page 11. Chapter 2 Ontology learning and evaluation: state of the art 2.1 Ontology learning There exist several paradigms of learning ontological relations. The most widespread of them are linguistic patterns-based and clustering-based. … Related articles All 3 versions Cite Save More

Textual Entailment: A Perspective on Applied Text Understanding I Dagan – 2005 – lml.bas.bg … may also provide useful variations for some classical semantic problems, such as word sense disambiguation, ontology learning and the … new developments in knowledge for computational linguistics, then discuss about what kind of knowledge is required for a dialogue system. … All 2 versions Cite Save More

What’s Up in Business Intelligence? A Contextual and Knowledge-Based Perspective MA Aufaure – Conceptual Modeling, 2013 – Springer … Ontology learning [10] is used to dynamically build a knowledge base, composed of ontology modules, from web abstracts and users’ queries [11 … Many current spoken dialogue systems for search are domain-specific and do not take into account the preferences and interests of … Related articles All 2 versions Cite Save

Applying Semantic Technology To Business News Analysis I Novalija, D Mladeni? – Applied Artificial Intelligence, 2013 – Taylor & Francis … 2005 . Text2Onto A framework for ontology learning and data-driven change discovery. … 2003 . An interactive dialogue system for knowledge acquisition in Cyc. In Proceedings of the eighteenth international joint conference on artificial intelligence, Acapulco, Mexico. … Related articles All 3 versions Cite Save

Computer-generated Conversation Using Newspaper Headline E Yoshimura, M Imono, S Tsuchiya, H Watabe – davidpublishing.com … [3] M. Inaba, N. Isomura, F. Toriumi, K. Ishii, Evaluation method of non-task-oriented dialogue system using semantic network, IPSJ SIG Notes. ICS (16) (2009) 29-34. … [6] A. Maedche, S. Staab, Ontology learning for the semantic web, Intelligent Systems, IEEE 16 (2) (2001) 72-79. … Related articles Cite Save More

Creating ontologies for content representation–-the OntoSeed suite EP Bontas Simperl, D Schlangen… – Proceedings of the …, 2005 – pub.uni-bielefeld.de … Ontologies have been used for a long time in many NLP applications, be that machine translation [20], text understanding [14], or dialogue systems (some recent examples are [12, 29]), and are of course central to information-extraction or Semantic Web-related NLP … Related articles All 2 versions Cite Save More

A Methodology for Semantic E-Business Integration M Rebstock, J Fengel, H Paulheim – Ontologies-Based Business …, 2008 – Springer … on the other hand, is available in an unstructured format, such as natural language in text documents or on webpages, ontology learning mechanisms, as … A dialogue system in which a term in an input filed should be refer- enced might use different context items, such as input … Cite Save

Automated decision making based on weak orderings S Encheva – International Journal of Intelligent Information and …, 2012 – Inderscience Page 1. 30 Int. J. Intelligent Information and Database Systems, Vol. 6, No. 1, 2012 Copyright © 2012 Inderscience Enterprises Ltd. Automated decision making based on weak orderings Sylvia Encheva Faculty of Technology … Related articles All 4 versions Cite Save

A service-oriented, semantic approach to data integration for an Internet of Things supporting autonomous cooperating logistics processes KA Hribernik, C Hans, C Kramer, KD Thoben – Architecting the Internet of …, 2011 – Springer … 2009). Dialog The Dialog system developed at Helsinki University of Technology aims at solv- ing the challenges of item level information management without the need of de- veloping new standards for product coding. In the DIALOG approach (Kärk- käinen et al. … Cited by 7 Related articles All 7 versions Cite Save

Ontology Extension Using Text Mining For News Analysis I Novalija – slais.ijs.si … The semi-automatic approach for ontology extension presented in (Witbrock et al., 2003) is based on the user-interactive dialogue system for knowledge acquisition, where, the … Very often pattern based approaches for ontology learning from text are used for ontology population. … Related articles Cite Save More

A novel approach for question answering and automatic diagnosis based on pervasive agent ontology in medicine Q Guo – International Journal of Intelligent Systems, 2010 – Wiley Online Library Page 1. A Novel Approach for Question Answering and Automatic Diagnosis Based on Pervasive Agent Ontology in Medicine Qing-lin Guo1,2,? 1School of Computer Science and Technology, North China Electric Power University … Cited by 1 Related articles All 2 versions Cite Save

BalkaNet: Aims, methods, results and perspectives. a general overview D Tufis, D Cristea, S Stamou – Romanian Journal of Information science …, 2004 – racai.ro Page 1. ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY Volume 7, Numbers 1–2, 2004, 9–43 BalkaNet: Aims, Methods, Results and Perspectives. A General Overview D. TUFIS1, D. CRISTEA2, S. STAMOU3 … Cited by 160 Related articles All 8 versions Cite Save More

Ontologies for QA on Restricted Domains: usefulness and how to build them W Wieringa – 2006 – referaat.cs.utwente.nl Page 1. Ontologies for QA on Restricted Domains: usefulness and how to build them Wilko Wieringa wkwieringa@student.utwente.nl ABSTRACT Coreference and anaphoric references are necessary to find an- swers to questions. … Cite Save More

The Roles of Natural Language and XML in the Semantic Web Graham Wilcock, Paul Buitelaar, Antonio Pareja-Lora, Barrett Bryant, Jimmy Lin and Nancy Ide G Wilcock – ling.helsinki.fi … are central: XML-based NLP tools, corpus annotation standards, XML in document generation, XML in spoken dialogue systems. … Therefore, semi-automatic ontology learning that combines natural language processing (text mining, information extraction) with machine learning … All 3 versions Cite Save More

Dialogue-based Exploration of Graphics for Users with a Visual Disability J Plhak – is.muni.cz … 30 4.1.1 DialogueStrategies . . . . . 32 4.2 Types of Dialogue Systems . . . . . 32 4.3 Dialogue Systems Supported by Ontologies . . . . . 34 4.3.1 UK Cancer Referrals and Home Control . . . . . 34 4.3.2 SmartWeb . . . . . … Related articles Cite Save More

A Review of Student Models Used in Intelligent Tutoring Systems PI Pavlik Jr, K Brawner, A Olney… – … for Intelligent Tutoring …, 2013 – eduworks.com Page 62. Design Recommendations for Intelligent Tutoring Systems-Volume 1: Learner Modeling 39 CHAPTER 5?A Review of Student Models Used in Intelligent Tutoring Systems Philip I. Pavlik Jr. 1, Keith Brawner2, Andrew … Related articles All 7 versions Cite Save More

Linking and Validating Nordic and Baltic Wordnets-A Multilingual Action in META-NORD B Sanford Pedersen, L Borin, M Forsberg… – Proceedings of the …, 2012 – helda.helsinki.fi … BLARK lists Computer Assisted Language Learning (CALL), speech input, speech output, dialogue systems, document production, information access and translation applications as … Ontology Learning and Population from Text: Algorithms, Evaluation and Applica- tions. … Related articles All 2 versions Cite Save

Reusing ontologies on the Semantic Web: A feasibility study E Simperl – Data & Knowledge Engineering, 2009 – Elsevier … their components.” [65]. 3.4. Peralta and Pinto’s case study. Peralta and Pinto describe the development of the ONTO-SD ontology for a natural language dialogue system for a ticket vending machine [59]. The ontology comprised … Cited by 80 Related articles All 5 versions Cite Save

A Semantic Framework for Harvesting Vague Enterprise Knowledge from Microposts P Alexopoulos, J Pavlopoulos… – International Journal on …, 2014 – World Scientific … (1) A semantically enhanced microblogging system. (2) A fuzzy ontology learning process that acts upon the social content produced by the enterprise’s people within this system. … isRelevantToResearchArea PARLANCE Dialogue Systems … Related articles Cite Save

Semi-automatic ontology construction B Fortuna – 2011 – slais.ijs.si … Chapter 5 describes the system, which was developed as implementation of the proposed ontology learning framework. The architecture of the system is described in … ontology extension based on the user-interactive dialogue system for knowledge … Cited by 3 Related articles Cite Save More

Learning the semantics of Wikipedia hyperlinks D Bauer – Bachelor thesis. University of Osnabrück, …, 2007 – cogsci.uni-osnabrueck.de … 4 2.1 Ontologies and ontology learning . . . . … But many language technology appli- cations could profit from a domain independent knowledge base as a source of world knowledge (eg dialog systems and question answering systems, but also text generation, summarization and … Cited by 2 Related articles All 21 versions Cite Save More

Discovering cues to error detection in speech recognition output: A user-centered approach L Zhou, Y Shi, D Zhang, A Sears – Journal of Management Information …, 2006 – ME Sharpe … She received a Ph.D. in Computer Sci- ence from Peking University, Beijing, China. Her current research interests center on ontology learning, deception detection, natural language processing, and online com- munity. Her … Cited by 12 Related articles All 6 versions Cite Save

Extracting protein-protein interactions from MEDLINE using the Hidden Vector State model D Zhou, Y He, CK Kwoh – International Journal of Bioinformatics …, 2008 – Inderscience … Her current research interests include biomedical literature mining, knowledge integration from heterogeneous data sources and ontology learning from text. She has published in the areas of spoken dialogue systems, bioinformatics, data and text mining, and information … Cited by 14 Related articles All 13 versions Cite Save

Stratified constraint satisfaction networks in synergetic multi-agent simulations of language evolution A Mehler – Artificial Cognition Systems, 2006 – hucompute.org … units. In the area of lexical ontology learning, this model (or some variant of it) is adapted to derive systematic sense relations (eg hyperonymy, synonymy etc.). Thus, LSA can be seen as a partial answer to the first question. … Cited by 7 Related articles All 5 versions Cite Save

OntoWeb Consortium UPM From, Á López-Cima, A Gómez-Pérez, A Leger… – sti-innsbruck.at … To build semi-automatically an ontology is the aim of the ontology learning [Maedche and Staab, 2003] field, and a detailed description of NL systems for learning ontologies was made in the Deliverable 1.5 [Ontoweb D1.5]. However, such applications of NLP technologies to … Related articles All 2 versions Cite Save More

Sources of World Knowledge E Ovchinnikova – Integration of World Knowledge for Natural Language …, 2012 – Springer Page 1. Chapter 3 Sources of World Knowledge In the area of artificial intelligence, interest to model world knowledge computationally arose in the late 1960s. The first proposals in this direction were Quillian’s (1968) seman … All 2 versions Cite Save

Existing evaluation and validation of LRs J Odijk, A Toral, G Adda, B Babych, L Bentivogli… – FLaReNet …, 2009 – flarenet.eu … This campaign was to feature a novel method for the evaluation of prosody in synthesized speech. • MEDIA : Evaluation of Man-Machine dialogue systems. In this case, the task of hotel room reservation (including some local tourist information) is envisaged. … Cited by 1 Related articles All 4 versions Cite Save More

Ontological technologies for user modelling S Sosnovsky, D Dicheva – International Journal of Metadata, …, 2010 – Inderscience … technologies, for example, open user modelling and ontology visualisation, overlay user modelling and ontology representation, unobtrusive user modelling and ontology learning, etc. … Modelling users’ goals and plans has been widely exploited in intelligent dialog systems. … Cited by 37 Related articles All 6 versions Cite Save

Inter-coder agreement for computational linguistics R Artstein, M Poesio – Computational Linguistics, 2008 – MIT Press Page 1. Survey Article Inter-Coder Agreement for Computational Linguistics Ron Artstein ? University of Essex Massimo Poesio ?? University of Essex/Universit`a di Trento This article is a survey of methods for measuring agreement among corpus annotators. … Cited by 395 Related articles All 18 versions Cite Save

Ontologies across disciplines M Nickles, A Pease, AC Schalley… – … How Ontological Status …, 2007 – books.google.com … function of an interlingua for machine translation. Other intended applications are information extraction, question answering, human-computer dialog systems, and text summarization. The older linguistic domain that uses the … Cited by 11 Related articles All 9 versions Cite Save

Ontology-Based Interpretation of Natural Language P Cimiano, C Unger, J McCrae – Synthesis Lectures on …, 2014 – morganclaypool.com … 2010 Page 7. v Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 Introduction … Cited by 2 Related articles All 3 versions Cite Save

Trends in Applied Intelligent Systems N García-Pedrajas, FHC Fyfe, JMBM Ali – Lecture Notes in Computer …, 2010 – Springer Page 1. Lecture Notes in Artificial Intelligence 6096 Edited by R. Goebel, J. Siekmann, and W. Wahlster Subseries of Lecture Notes in Computer Science Page 2. Nicolás García-Pedrajas Francisco Herrera Colin Fyfe José Manuel Benítez Moonis Ali (Eds.) Trends in Applied … Related articles All 7 versions Cite Save

Semantic relations in information science. CSG Khoo, JC Na – 2006 – dr.ntu.edu.sg Page 1. This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Title Semantic relations in information science. Author(s) Khoo, Christopher Soo Guan.; Na, Jin Cheon. Citation Khoo, CSG, & Na, JC (2006). … Cited by 64 Related articles All 9 versions Cite Save

Domain and Discourse R Porzel – Contextual Computing, 2011 – Springer … The early ways in which knowledge has been represented semantically in spoken dialogue systems or multi-modal dialogue systems show that individual representa- tions with different semantics and heterogeneously structured content can be found in various formats within … All 2 versions Cite Save

Ontologies on trial: the lesson of Maurice v. Judd (New York, 1818) E Nissan – Information & Communications Technology Law, 2013 – Taylor & Francis … doi: 10.1109/5254.920602 [CrossRef], [Web of Science ®], [CSA] View all references) reported about ontology learning from the Semantic … There are applications of ontologies to information-providing dialogue-systems: in Sweden, Annika Flycht-Eriksson completed a doctoral … Related articles All 3 versions Cite Save

Nordic Graduate School of Language Technology (NGSLT) R Cooper – 2007 – ngslt.gslt.hum.gu.se … Spring Term Dialogue Systems Lars Ahrenberg, Linköpings universitet, Sweden, GSLT Java Development for HLT Lars Degerstedt, Linköpings universitet, Sweden, GSLT Lexical Semantics Åke Viberg, Uppsala University, Swe- den, GSLT Machine Learning Joakim Nivre … Related articles All 3 versions Cite Save More

Specification of knowledge acquisition and modeling of the process of the consensus A Zhdanova, M Bonifacio, S Dasiopoulou, J Euzenat… – 2004 – hal.archives-ouvertes.fr Page 1. Copyright © 2004 The contributors D 2.3.2 Specification of Knowledge Acquisition and Modeling of the Process of the Consensus Coordinator: Anna V. Zhdanova (UIBK) Matteo Bonifacio (UniTn), Stamatia Dasiopoulou … Related articles All 6 versions Cite Save More

A Survey of Computational Semantics: Representation, Inference and Knowledge in Wide-Coverage Text Understanding J Bos – Language and Linguistics Compass, 2011 – Wiley Online Library … First of all, the coverage and accuracy of implemented systems is now reaching levels of sophistication and robustness that make formal methods potentially useful in real-world applications such as information retrieval, information extraction, spoken dialogue systems and … Cited by 10 Related articles All 4 versions Cite Save

[BOOK] Managing Knowledge in a World of Networks: 15th International Conference, EKAW 2006, Podebrady, Czech Republic, October 6-10, 2006, Proceedings S Staab, V Svátek – 2006 – books.google.com … Other traditional sessions were those devoted to different as- the ontology lifecycle: Ontology Engineering, Ontology Learning and Mapping and … 2 Domingos 3dge Acquisition .s: Knowledge Acquisition with Repertory Grids and Formal Analysis for Dialog System Construction 3 … All 2 versions Cite Save

A Study Of The W3C Semantic Web Programme C Middup – mcs-notes2.open.ac.uk Page 1. i A STUDY OF THE W3C SEMANTIC WEB PROGRAMME A dissertation submitted in partial fulfilment of the requirements for the Open University’s Master of Science Degree in Computing for Commerce and Industry Christopher Middup (R9628152) … Related articles All 2 versions Cite Save More

Testing conditional independence for continuous random variables Wicher Bergsma Article (01 December 2004) M PASCAL – Signal, 2004 – eprints.pascal-network.org … AUTOMATIC LEARNING OF INTERPRETATION STRATEGIES FOR SPOKEN DIALOGUE SYSTEMS Cristian Raymond, Fréderic Béchet, Renato De Mori, Geraldine Damnati and Yannick Esteve Article Item not available online. (May 2004). … Cite Save More

Ontological Engineering and the Semantic Web JM Gómez-Pérez, C Ruiz – Advanced Techniques in Web Intelligence-I, 2010 – Springer … built. Such activities are: • The knowledge acquisition activity whose goal is to acquire knowledge from experts of a given domain or through some kind of (semi)automatic process, which is called ontology learning. • The evaluation … Cited by 2 Related articles All 4 versions Cite Save

Contextual question answering for the health domain W Wong, J Thangarajah… – Journal of the American …, 2012 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Related articles All 7 versions Cite Save

Natural language interfaces to conceptual models DD Damljanovic – 2011 – gate.ac.uk Page 1. Danica D. Damljanovic Natural Language Interfaces to Conceptual Models Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy at The University of Sheffield Department of Computer Science July 2011 Page 2. Page 3. Abstract … Cited by 1 Related articles All 6 versions Cite Save More

Toward Portable Information Extraction MV Tablan – 2009 – valentin.tablan.net Page 1. MV Tablan Toward Portable Information Extraction Submitted for the degree of Doctor of Philosophy 2009 Page 2. Page 3. Toward Portable Information Extraction Mihai Valentin Tablan Submitted for the degree of Doctor of Philosophy … Cited by 1 Related articles All 3 versions Cite Save More

Intelligent Informatics P Chan, R Menezes, D Mitra, E Ribeiro, M Silaghi… – 2007 – comp.hkbu.edu.hk … The issue contains three exciting feature articles: one on Web search personalization based on an ontology learning approach, one on conversational informatics for human-centered Web intelligence, and one more on ontology discovery for business knowledge management. … Related articles All 4 versions Cite Save More

Accuracy and suitability: New challenges for evaluation M King – Language resources and evaluation, 2005 – Springer … The EAGLES framework has also been successfully applied to the design of specific evaluations of spelling checkers (Paggio and Underwood, 1998; Starlander and Popescu-Belis, 2002), of dialogue systems (Blasband, 1999) and of dictation systems (Cannelli et al., 2000). … Cited by 5 Related articles All 7 versions Cite Save

Towards an Ontology Development Methodology for Small and Medium-sized Enterprises A Öhgren – 2009 – diva-portal.org Page 1. Linköping Studies in Science and Technology Thesis No. 1401 Towards an Ontology Development Methodology for Small and Medium-sized Enterprises ANNIKA ÖHGREN Department of Computer and Electrical Engineering … Cited by 1 Related articles All 5 versions Cite Save

The Multilingual Semantic Web (Dagstuhl Seminar 12362) P Buitelaar, KS Choi, P Cimiano, EH Hovy – Dagstuhl Reports, 2013 – drops.dagstuhl.de … linked data (generation, querying, browsing, visualization and present- ation) multilingual aspects of ontology verbalization ontology learning across languages … Ontologies could help dialogue systems triggering predictable actions in AAL smart homes, ie turning off the oven … Cited by 5 Related articles All 4 versions Cite Save

[BOOK] Integration of world knowledge for natural language understanding E Ovchinnikova – 2012 – books.google.com … entails the second one. Concerning natural language processing (NLP), this type of reasoning is intended to facilitate such applications as, for example, question answering, information extraction, and dialog systems. In spite of … Cited by 7 Related articles All 4 versions Cite Save

Technological Survey and Literature Tool Study PHCEA LIST – 2010 – itea3.org Page 1. Contract ITEA 2 – 07008 ID: MIDAS_WP1_D14_TechnologicalSurvey&Littera tureToolStudy_20100526 Security : Private: Date:5/26/2010 MIDAS Multimodal Interfaces for Disabled and Ageing Society Project number: ITEA 2 – 07008 … Related articles Cite Save More

Mixed-Initiative Clustering Y Huang – 2010 – lti.cs.cmu.edu … If we want to embed natural language communication in mixed-initiative clustering, it is necessary to design a dialogue system capable of discussing a clustering task, but that would divert the main focus of this study. On the other hand, a human user is more in- … Cited by 1 Related articles All 10 versions Cite Save More

[BOOK] Operational Risk Management: a practical approach to intelligent data analysis R Kenett, Y Raanan – 2011 – books.google.com Page 1. Editors RON KENETT YOSSI RAANAN Operati0nal Risk Management A practical approach to intelligent data analysis STATISTICS IN PRACTICE Page 2. Statistics in Practice Advisory Editors Human and Biological … Cited by 28 Related articles All 4 versions Cite Save

[BOOK] Advances in Artificial Intelligence G Sidorov, AH Aguirre, CAR García – 2010 – Springer … 244 Gabriel Infante-Lopez and Mart?n Ariel Dom?nguez Page 15. Table of Contents – Part I XVII Contextual Semantic Processing for a Spanish Dialogue System Using Markov Logic….. 258 Aldo Fabian, Manuel Hernandez, Luis Pineda, and Ivan Meza … Related articles All 9 versions Cite Save

A Personalized Recommender Agent For The World Wide Web–A Semantic Perspective PC Chang – 2010 – hawaii.edu … User modeling (UM) plays a key role in personalization. We use the definition “A user model is a knowledge source in a natural-language dialog system which contains explicit assumptions on all aspects of the user that may be relevant to the dialog behavior of the system. … Related articles All 3 versions Cite Save More

Semi-automatic Domain Modeling from Multilingual Corpora S Pollak – 2014 – kt.ijs.si Page 1. Univerza v Ljubljani/University of Ljubjana Filozofska fakulteta/Faculty of Arts Oddelek za prevajalstvo/Department of Translation Senja Pollak Polavtomatsko modeliranje podro?nega znanja iz ve?jezi?nih korpusov Semi … Related articles Cite Save More

Abstraction of reasoning for problem solving and tutoring assistants V Le – 2008 – digilib.gmu.edu … A learning component for acquiring and refining the knowledge of the agent, allowing a wide range of operations, from ontology import and user definition of knowledge base elements (through the use of editors and browsers), to ontology learning and rule learning. … Cited by 1 Related articles All 4 versions Cite Save

Learner corpora A Taylor – Lüdeling, Anke; Kytö, Merja: Corpus Linguistics, 2008 – books.google.com Page 278. Taylor, Ann (1999), PPCME Lite: A Brief Introduction to the Syntactic Annotation System of the PPCME2.(Now replaced by Santorini 2005.) Claudia Claridge, Duisburg/Essen (Germany) 15. Learner corpora Introduction … Cite Save