OWL (Web Ontology Language) & Natural Language Generation

Notes:

The Web Ontology Language (OWL) is a standardized language for representing and defining ontologies, which are formal representations of concepts and relationships in a particular domain. OWL is used to define the structure and meaning of the concepts and relationships that are included in an ontology, and can be used to represent both hierarchical and non-hierarchical relationships.

Natural language generation (NLG) is the process of generating natural language text or speech from a machine-readable representation of information. NLG systems are often used to generate descriptions or explanations of complex concepts or processes in a way that is easy for humans to understand.

OWL is not directly related to NLG, but it can be used as a source of information for NLG systems. By representing complex concepts and relationships in an OWL ontology, it is possible to create NLG systems that can generate natural language descriptions of those concepts and relationships. This can be useful for generating explanations or descriptions of complex concepts in a way that is easy for humans to understand.

OWL and Semantic OLAP are related in that OWL can be used to represent the concepts and relationships that are included in a Semantic MediaWiki instance, and Semantic OLAP can be used to query and analyze that data using OLAP functionality. This can be useful for extracting insights and making data-driven decisions based on the data stored in a Semantic MediaWiki instance.

Semantic OLAP (Online Analytical Processing) is an extension to Semantic MediaWiki that allows users to query and analyze data stored in a Semantic MediaWiki instance using OLAP functionality. OLAP is a technology that is used to analyze and process large datasets, and it is particularly well-suited for tasks such as data mining, business intelligence, and data analysis.

Semantic OLAP allows users to create OLAP cubes from the data stored in a Semantic MediaWiki instance, and then use those cubes to perform various types of analysis, such as pivot table and chart creation, slicing and dicing, and drill-down analysis. This can be useful for extracting insights and making data-driven decisions based on the data stored in a Semantic MediaWiki instance.

Data-to-text generation is the process of generating natural language text from structured data. This can be useful for creating descriptions or explanations of complex concepts or processes in a way that is easy for humans to understand.
OWL ontologies are formal representations of concepts and relationships in a particular domain, expressed using the Web Ontology Language (OWL). OWL ontologies are used to define the structure and meaning of the concepts and relationships that are included in an ontology, and can be used to represent both hierarchical and non-hierarchical relationships.
OWL ontology is a formal representation of concepts and relationships in a particular domain, expressed using the Web Ontology Language (OWL). An OWL ontology is used to define the structure and meaning of the concepts and relationships that are included in the ontology, and can be used to represent both hierarchical and non-hierarchical relationships.
Web Ontology Language (OWL) is a standardized language for representing and defining ontologies, which are formal representations of concepts and relationships in a particular domain. OWL is used to define the structure and meaning of the concepts and relationships that are included in an ontology, and can be used to represent both hierarchical and non-hierarchical relationships. OWL is often used in artificial intelligence and semantic web applications.

Resources:

fluenteditor .. comprehensive tool for editing and manipulating complex ontologies
ontorion .. distributed knowledge management system with natural language interfaces
ontoql .. exploitation language for ontology based databases
patomat .. software architecture for ontology transformation based on patterns and matching

Wikipedia:

See also:

NaturalOWL | OWLJessKB | OwlSpeak

OWLSIZ: An isiZulu CNL for structured knowledge validation
Z Mahlaza, CM Keet – … Natural Language Generation from the Semantic …, 2020 – aclweb.org
… 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+ … Abbreviations: OWL = Web Ontology Language, ORM = Object-relational mapping, FBM = Fact Based … additional time-consuming steps, being converting OWL ontologies into GF …

Verifying Ontology Increments through Domain and Schema Independent Verbalization
K Vidanage, NMM Noor, R Mohemad, ZA Bakar – IJCSNS, 2021 – researchgate.net
… Extending OWL Ontology Visualizations with Interactive Contextual Verbalization. VOILA@ISWC … Proceedings of the 9th International Natural Language Generation conference … Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System …

A Template-Based Approach for Generating Vietnamese References from Flat MR Dataset in Restaurant Domain
DT Nguyen, T Tran – International Conference on Future Data and Security …, 2020 – Springer
… References. 1. Androutsopoulos, I., Lampouras, G., Galanis, D.: Generating natural language descriptions from OWL ontologies: the natural OWL system. J. Artif … 387–397 (2015)Google Scholar. 3. Bangalore, S., Stent, A.: Natural Language Generation in Interactive Systems …

A Study of Automatic Metrics for the Evaluation of Natural Language Explanations
M Clinciu, A Eshghi, H Hastie – arXiv preprint arXiv:2103.08545, 2021 – arxiv.org
… Here, we explore parallels between the generation of such explanations and the much-studied field of evaluation of Natural Language Generation (NLG). Specifically, we investigate which of the NLG evaluation measures map well to explanations …

RDFJSREALB: a Symbolic Approach for Generating Text from RDF Triples
G Lapalme – 2020 – rali.iro.umontreal.ca
… discussion of Semantic Web concepts and its relation with Natural Language Generation … in the Semantic Web area: ontology construction using the Web Ontology Language (OWL) with an … that produces template-based descriptions of entities and classes from OWL ontologies …

Generating Explanations in Natural Language from Knowledge Graphs
I Tiddi – Knowledge Graphs for eXplainable Artificial …, 2020 – books.google.com
… This process of automatically generating texts is named as Natural Language Generation (NLG)[52] … SPARQL Protocol and RDF Query Language (SPARQL) and Web Ontology Language (OWL) … For instance,[1] generates sentences in English and Greek from OWL ontologies …

A Tool for Automatic Reasoning over Decision Documentation using gUFO
BG Carneiro, R Guizzardi – 2020 – ceur-ws.org
… The tool will convert the documented decision into an OWL ontology based on gUFO and then calculate the final decision … Gkatzia, D., Lemon, O., and Rieser, V. (2016). Natural language generation enhances human decision-making with uncertain information …

Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system
I Donadello, M Dragoni, C Eccher – … of the 35th Annual ACM Symposium …, 2020 – dl.acm.org
… logic language to plain text comprehensi- ble by humans leverages a computational persuasion framework [17] and Natural Language Generation (NLG) techniques … One of the first user studies dealing with explanations for en- tailments of OWL ontologies was performed by [12 …

Computer Assisted Natural Language Description of Trends and Patterns in Time Series Data
S Kandarkar – wwwmatthes.in.tum.de
… 9 2.4. Natural Language Generation (NLG) … objectives of our thesis is to propose an intuitive automated reporting assistant prototype, which should assist data analysts in writing intuitive and concise executive summaries. 2.4. Natural Language Generation (NLG) …

“Talking” Triples to Museum Chatbots
S Varitimiadis, K Kotis, D Spiliotopoulos… – … Conference on Human …, 2020 – Springer
… RDF and Web Ontology Language (OWL) are the two basic descriptive Semantic Web technologies that play … a big set of established NLP components to produce RDF/OWL ontologies and knowledge … it/stlab-tools/fred/demo/ and was used to produce RDF/OWL ontology and a …

A Case Study of NLG from Multimedia Data Sources: Generating Architectural Landmark Descriptions
S Mille, P Alvanitopoulos, RC Salguero… – … Language Generation …, 2020 – aclweb.org
… 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+), Dublin, Ireland (Virtual), 18 December 2020, pages 2–14, c 2020 Association for Computational Linguistics Attribution 4.0 International. Page 2 …

Explainable ai meets persuasiveness: Translating reasoning results into behavioral change advice
M Dragoni, I Donadello, C Eccher – Artificial Intelligence in Medicine, 2020 – Elsevier
… humans leverages a computational persuasion framework [4] and Natural Language Generation (NLG) techniques … study evaluating a model-exploration based approach to explanation in OWL ontologies … by using methods that translate axioms of an OWL ontology in Attempto …

Formalisation and classification of grammar and template-mediated techniques to model and ontology verbalisation
Z Mahlaza, CM Keet – International Journal of Metadata …, 2020 – inderscienceonline.com
… need to be implemented from the ground up. Keywords: ontology verbalisation; model verbalisation; natural language generation; template classification; grammar-infused templates. Reference to this paper should be made …

Review On Approaches for Theme Extraction and Sentence Ordering For Prioritization Of Journalistic Notes
D Wijesinghe, K Vidanage – 2020 International Conference on …, 2020 – ieeexplore.ieee.org
… Resource Description Framework (RDF) and Web Ontology Language(OWL) are the most commonly used language to define Ontologies … 82–88, doi: 10.1109/WI.2003.1241177. [27] K. Staykova, “Natural Language Generation and Semantic Technologies,” Cybern. Inf …

An online Platform to List NLP Tools for Under-Resourced Languages
D Nouvel, M Valette, D Sadoun – lt4all.elra.info
… Generating natural language descriptions from OWL ontologies: the naturalowl system. CoRR, abs/1405.6164 … Readme generation from an owl ontology de- scribing nlp tools. In 2nd International Workshop on Natural Language Generation and the Semantic Web …

Two Ways for the Automatic Generation of Application Ontologies by Using BalkaNet
M Mladenovi?, SV Stankovi?, V Paji? – International Journal on …, 2020 – igi-global.com
… withthefollowingobjectives:(i)todesignamethodologysuitable forautomaticproductionoftheWeb ontologylanguage(OWL)from … PWN)hasbeenusedinvariousNLPtaskssuchas:wordsense disambiguation(Chaplot&Salakhutdinov,2018),naturallanguagegeneration(Basile,2015 …

Medical dialogue summarization for automated reporting in healthcare
S Molenaar, L Maas, V Burriel, F Dalpiaz… – International Conference …, 2020 – Springer
… Once this categorization is done, the Natural Language Generation process starts … Med. 31(5), 548–560 (2016)Google Scholar. 3. Androutsopoulos, I., Lampouras, G., Galanis, D.: Generating natural language descriptions from OWL ontologies: the NaturalOWL system. J. Artif …

Rule extraction from scientific texts: Evaluation in the specialty of gynecology
A Boufrida, Z Boufaida – Journal of King Saud University-Computer and …, 2020 – Elsevier
… Our approach begins with existing domain knowledge represented as an OWL ontology, and applies NLP tools and text matching techniques to deduce different atoms, such as classes, properties and literals, to capture deductive knowledge in the form of new rules …

NLP for the Greek Language: A Brief Survey
K Papantoniou, Y Tzitzikas – 11th Hellenic Conference on Artificial …, 2020 – dl.acm.org
… The proposed method has been tested on the news articles domain. [3] presents the NaturalOWL an open-source natural language generation system that produces texts describing individuals or classes of OWL ontologies (in both English and Greek) …

Can a Transformer Assist in Scientific Writing? Generating Semantic Web Paper Snippets with GPT-2
A Meroño-Peñuela, D Spagnuelo – European Semantic Web …, 2020 – Springer
… Our goal is to investigate how AI and natural language generation can support the increasingly challenging task of writing Semantic Web papers … (Explaining related work). “Reasoning with OWL ontologies at scale has proven to be a difficult problem in the Semantic Web …

Neural language models for the multilingual, transcultural, and multimodal Semantic Web
D Gromann – Semantic Web, 2020 – content.iospress.com
… NLP) applications from machine translation (eg [67]) and natural language generation (eg [24 … resources published in the Resource Description Framework (RDF) and Web Ontology Language (OWL) have … might be comparable to embeddings trained on an OWL ontology or on …

Analysis of readability and structural accuracy in SNOMED CT
F Abad-Navarro… – BMC Medical …, 2020 – bmcmedinformdecismak …
The increasing adoption of ontologies in biomedical research and the growing number of ontologies available have made it necessary to assure the quality of these resources. Most of the well-established ontologies, such as the Gene Ontology or SNOMED CT, have their own …

A Survey on Bias in Deep NLP
I Garrido-Muñoz, A Montejo-Ráez, F Martínez-Santiago… – 2021 – preprints.org
… An OWL ontology has following components: < C, P, I, L > classes C, properties P, individuals I and literal values L. For the shake of simplicity, we will summarize saying that individuals are instances of classes, instances are interrelated by properties and literals are associated …

Rdf-to-text generation with graph-augmented structural neural encoders
H Gao, L Wu, P Hu, F Xu – Proceedings of the Twenty-Ninth International …, 2020 – ijcai.org
… for graph structured input data. Early attempts for Web Ontology Language to text generation were done by [Bontcheva and Wilks, 2004] and verbalizing a knowledge base [Banik et al., 2012]. Pipeline approach is generally …

Towards an Interoperable Ecosystem of AI and LT Platforms: A Roadmap for the Implementation of Different Levels of Interoperability
G Rehm, D Galanis, P Labropoulou, S Piperidis… – arXiv preprint arXiv …, 2020 – arxiv.org
… Interoperability is addressed at the following levels: (1) exchange of metadata records from and to other, exter- nal catalogues: the schema exploits an RDF/OWL ontology (McCrae et al., 2015) with links to … Natural Language Generation Dialog Management / Knowledge Graph …

Intelligent Collaborative Authoring of Place-Based, Cross-Cultural and Media-Rich Experiences
K Kotis, D Spiliotopoulos, A Papasalouros – Challenges, 2020 – mdpi.com
… and Ontology Web Language (OWL) ontologies) for data extraction, representation, linking, reasoning and querying [24]. Natural Language Processing (NLP) for interpreting users’ input from natural language to RDF/SPARQL [25]. Natural Language Generation (NLG) for …

Converness: Ontology?driven conversational awareness and context understanding in multimodal dialogue systems
G Meditskos, E Kontopoulos, S Vrochidis… – Expert …, 2020 – Wiley Online Library
… The OWL 2 Web Ontology Language (Grau, Horrocks, Motik, Parsia, Patel?Schneider, & Sattler, 2008) is the W3C recommendation 1 1 … Finally, output planning involves natural language generation and text to speech to generate the system utterances with system actions and …

AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions
IH Sarker – 2021 – preprints.org
Page 1. Noname manuscript No. (will be inserted by the editor) AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions Iqbal H. Sarker1,2? Received: date / Accepted: date Abstract Artificial …

Automatic generation of amharic math word problem and equation
AA Bekele – Journal of Computer and Communications, 2020 – scirp.org
… recently the area has gained interest with novel strategy that generates mathematical word problems from ontologies in unrestricted domains [7]. The approach builds on an existing ontology verbalizer that renders logical statements written in Web Ontology Language (OWL) as …

SEARCH ENGINE OPTIMIZATION USING FEED FORWARD NEURAL NETWORK
M Tiwari – ictactjournals.in
… 10-17, 2006. [3] Dimitrios Galanis and Ion Androutsopoulos, “Generating Multilingual Personalized Descriptions from OWL Ontologies on the Semantic Web: The NaturalOWL System”, Proceedings of European Workshop on Natural Language Generation, pp. 1-25, 2007 …

Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents
M Amith, RZ Lin, L Cui, D Wang… – BMC Medical …, 2020 – bmcmedinformdecismak …
Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we take the next step and introduce the Conversational Ontology Operator …

Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach
J Byamugisha – … Conference on Natural Language Generation, 2020 – aclweb.org
Page 1. Proceedings of The 13th International Conference on Natural Language Generation, pages 273–282, Dublin, Ireland, 15-18 December, 2020. c 2020 Association for Computational Linguistics 273 Generating Varied …

Generation and mining of medical, case-based multiple choice questions
G Kurdi – 2020 – research.manchester.ac.uk
Page 1. GENERATION AND MINING OF MEDICAL, CASE-BASED MULTIPLE CHOICE QUESTIONS A THESIS SUBMITTED TO THE UNIVERSITY OF MANCHESTER FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN THE FACULTY OF SCIENCE AND ENGINEERING …

Creative Storytelling with Language Models and Knowledge Graphs
X Yang, I Tiddi – CIKM (Workshops), 2020 – openreview.net
… Existing natural language generation systems are of- ten limited when the tasks require higher levels of cre- ativity and originality (Jain et al. 2017) … 5962-5971). [16] McGuinness, DL, & Van Harmelen, F. (2004). OWL web ontology language overview. W3C

Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack
S Baki, RM Verma, A Mukherjee, O Gnawali – arXiv preprint arXiv …, 2020 – arxiv.org
… Some of the variables that we study are: 1) the effect of using LinkedIn as a medium for delivering the phishing message instead of using email, 2) the effectiveness of natural language generation techniques in generating phishing emails, and 3) how some simple …

Editing OntoLex-Lemon in VocBench 3
M Fiorelli, A Stellato, T Lorenzetti, A Turbati… – Proceedings of The …, 2020 – aclweb.org
… McCrae, Spohr, & Cimiano, 2011), and clarified its modularity, by articulating the model as a set of OWL ontologies specifying different … Cimiano, Unger, and McCrae (2014) discussed the use of ontology lexicons for natural language generation and interpretation with respect to …

Knowledge graph based natural language generation with adapted pointer-generator networks
W Li, R Peng, Y Wang, Z Yan – Neurocomputing, 2020 – Elsevier
… Volume 382, 21 March 2020, Pages 174-187. Neurocomputing. Knowledge graph based natural language generation with adapted pointer-generator networks … Knowledge graph. Natural language generation. Supervised attention. Seq2Seq neural networks. Coverage loss. MSC …

Learning Knowledge Using Frequent Subgraph Mining from Ontology Graph Data
K Lee, H Jung, JS Hong, W Kim – Applied Sciences, 2021 – mdpi.com
… Specifically, experts in each field define a domain ontology to represent their knowledge about classes, properties, and instances in their point of view, according to W3C’s Web standards such as Resource Description Framework (RDF) and Web Ontology Language (OWL) …

Rhetorical structure theory: A comprehensive review of theory, parsing methods and applications
S Hou, S Zhang, C Fei – Expert Systems with Applications, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Natural language understanding in argumentative dialogue systems
PR Shigehalli – 2020 – oparu.uni-ulm.de
Page 1. Natural Language Understanding in Argumentative Dialogue Systems Master Thesis by Pavan Rajashekhar Shigehalli Reviewer: Prof. Dr. Dr.-Ing. Wolfgang Minker Co-Reviewer: Prof. Dr.-Ing. Dr. hc Stefan Wesner Supervisor: M.Sc. Niklas Rach …

Strengths of fuzzy techniques in data science
B Bouchon-Meunier – … Data Processing Techniques: Interval, Fuzzy etc …, 2020 – Springer
… has the advantage of not requiring any expert knowledge as it is generally the case for natural language generation-based summaries … A number of works [21, 22] have extended the Web Ontology Language (OWL) based on Description Logic to construct fuzzy ontologies …

Neural and Symbolic AI-mind the gap! Aligning Artificial Neural Networks and Ontologies
MAMCS Ribeiro – 2021 – run.unl.pt
Page 1. Manuel António de Melo Chinopa de Sousa Ribeiro Bachelor of Science Neural and Symbolic AI – mind the gap! Aligning Artificial Neural Networks and Ontologies Dissertation submitted in partial fulfillment of the requirements for the degree of …

Dataset of ontology competency questions to SPARQL-OWL queries translations
J Potoniec, D Wi?niewski, A ?awrynowicz, CM Keet – Data in brief, 2020 – Elsevier
… Ontology authoring. Competency questions. SPARQL-OWL. Semantic web … value of the dataset is that it may be used to generate a benchmark, such as for automated competency question formalisation into SPARQL-OWL queries and for natural language generation of questions …

A critical analysis of metrics used for measuring progress in artificial intelligence
K Blagec, G Dorffner, M Moradi, M Samwald – arXiv preprint arXiv …, 2020 – arxiv.org
… metrics in our analyzed dataset. The GLEU score was proposed as an evaluation metric for NLP applications, such as machine translation, summarization and natural language generation, in 2007. (Mutton et al. 2007) It is a …

Sell-Bot: An Intelligent Tool for Advertisement Synthesis on Social Media
S Kabaso, A Ade-Ibijola – The Disruptive Fourth Industrial Revolution, 2020 – Springer
… An aspect of AI that has not seen too many applications in Advertising is Natural Language Generation (NLG); the study of algorithms for generating natural or human languages … 2013; Nasukawa and Yi 2003). 2.3.4 Natural Language Generation (NLG) …

Calliope: Automatic Visual Data Story Generation from a Spreadsheet
D Shi, X Xu, F Sun, Y Shi, N Cao – IEEE Transactions on …, 2020 – ieeexplore.ieee.org
… research community. 2 RELATED WORK In this section, we review the recent studies that are most relevant to our work, including data-driven storytelling, automatic data visualization, and natural language generation. 2.1 Data …

An algorithm to generate short sentences in natural language from linked open data based on linguistic templates
ALD Silva, SJ Rigo… – International Journal of …, 2020 – inderscienceonline.com
… fluency. Keywords: linked open data; natural language generation; RDF; ontologies; linguistic templates; fluency … 2014). Within the field of NLP, there is a specific area of research devoted to studies on natural language generation …

NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
J Shabbir, MU Arshad, W Shahzad – arXiv preprint arXiv:2102.10410, 2021 – arxiv.org
… [24] Irina Astrova, Nahum Korda, and Ahto Kalja. Storing owl ontologies in sql relational databases … IEEE, 2011. [28] Barbara Di Eugenio and Susan W McRoy. Inlg 2012 proceedings of the seventh international natural language generation conference …

An IEEE value loop of human-technology collaboration in geospatial information science
L Meng – Geo-spatial Information Science, 2020 – Taylor & Francis
… The gained experiences are useful for cognitively more demanding tasks such as causal mining, natural language generation and autonomous … The introduction of Web Ontology Language (OWL) as well as Research Description Framework (RDF) has marked the beginning of …

A review of automated feedback systems for learners: classification framework, challenges and opportunities
G Deeva, D Bogdanova, E Serral, M Snoeck… – Computers & …, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

BioHackathon 2015: Semantics of data for life sciences and reproducible research
RA Vos, T Katayama, H Mishima, S Kawano… – …, 2020 – ncbi.nlm.nih.gov

Knowledge acquisition from parsing natural language expressions for humanoid robot action commands
DR Recupero, F Spiga – Information Processing & Management, 2020 – Elsevier
… The goal of the workshop was to bring the two research communities Natural Language Generation (NLG) and HRI together in order to enable an interdisciplinary dialogue between researchers of these fields. 3. The used robotic platform …

Managing Identity in Knowledge-Based Explainable Systems.
I Tiddi, J Raad – 2020 – books.google.com
… The idea is to first learn the predictions based on the dataset and a local OWL ontology, then use DBpedia entities to explain positive and negative trans- fers from one domain to another … Owl web ontology language reference. W3C recommendation, 10 (02), 2004 …

The influence of semantic link network on the ability of question-answering system
B Xu, H Zhuge – Future Generation Computer Systems, 2020 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Using a multimedia semantic graph for web document visualization and summarization
AM Rinaldi, C Russo – Multimedia Tools and Applications, 2021 – Springer
… In general, there are two approaches: (1) Extraction – it recognizes a subset of terms or phrases in the original document to create a summary; (2) Abstraction – it constructs an internal semantic representation using natural language generation techniques to create a synthesis …

Semantic Web Empowered E-Tourism
K Angele, D Fensel, E Huaman, E Kärle… – Handbook of e …, 2020 – Springer
… RDFS defines a simple Knowledge Representation Formalism for the Semantic Web. Web Ontology Language (OWL2) OWL2 (Beckett et al. 2014) is the recommended language used to describe ontolo- gies on the web. The ontologies are exchanged as RDF documents …

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions
AV Potnis, SS Durbha, RC Shinde – ISPRS International Journal of Geo …, 2021 – mdpi.com
… 2.2. Semantic Enrichment Layer Description Logic (DL) forms the fundamental building block of formalizing knowledge representation. It also forms the basis of the Web Ontology Language (OWL) used to construct ontologies …

reproducible research [version 1; peer review: awaiting peer
RA Vos, T Katayama, H Mishima, S Kawano… – researchgate.net
… Technologies BED, Browser Extensible Data; HPC, High Performance Com- puting; HTTP, HyperText Transfer Protocol; JSON, JavaScript Object Notation; JSON-LD, JSON – Linked Data; LOD, Linked Open Data; OWL, Web Ontology Language; RDF, Resource Description …

Parthood and part–whole relations in Zulu language and culture
CM Keet, L Khumalo – Applied Ontology, 2020 – content.iospress.com
Page 1. Applied Ontology 15 (2020) 361–384 361 DOI 10.3233/AO-200230 IOS Press Parthood and part–whole relations in Zulu language and culture C. Maria Keeta,? and Langa Khumalo b a Department of Computer Science …

A systematic review of automatic question generation for educational purposes
G Kurdi, J Leo, B Parsia, U Sattler… – International Journal of …, 2020 – Springer
While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that req.

KnowID: An architecture for efficient knowledge-driven information and data access
PR Fillottrani, CM Keet – Data Intelligence, 2020 – MIT Press
… that is a Customer; formally, we have IndividualCustomer ?Joanne? in the database (ie, a table named IndividualCustomer that has a row with Joanne) and IndividualCustomer ? Customer in the knowledge layer (eg, a Web Ontology Language (OWL) ontology) …

A Survey on the Explainability of Supervised Machine Learning
N Burkart, MF Huber – Journal of Artificial Intelligence Research, 2021 – jair.org
Page 1. Journal of Artificial Intelligence Research 70 (2021) 245-317 Submitted 06/2020; published 01/2021 A Survey on the Explainability of Supervised Machine Learning Nadia Burkart nadia.burkart@iosb.fraunhofer.de Fraunhofer …

Exploiting the semantic web for the automatic extraction of Los Angeles city data
M BUCCHI – 2020 – politesi.polimi.it
… 3. Ontology Vocabulary: this is the Web Ontology Language (OWL), the third basic component of the Semantic Web, defined according to [19] as a col- lection of … Indeed, OWL ontology is characterized by a hierarchical structure of classes and subclasses named taxonomy …

Design of a document retrieval system using Transformer-based models and a domain specific ontology
E Mottola, A Vetro, JC De Martin, G Futia, MSH Ehm… – 2020 – webthesis.biblio.polito.it
… Indeed, Natural Language Generation and Natural Language Understanding are the two main sub-fields of Natural Language Processing [9]. Natural Language Generation (NLG) is the branch of NLP that deals with the formation of human understandable content out of a …

Building Semantic Metadata for Historical Archives through an Ontology-driven User Interface
A Goy, D Colla, D Magro, C Accornero… – Journal on Computing …, 2020 – dl.acm.org
… [2010], where ontology navigation is coupled with Natural Language Generation techniques) … [2012]; Horridge et al. [2014]. However, as clearly stated by Gonçalves et al. [2017], “The rise of the Web Ontology Language (OWL) [… standardized by the World Wide Web …

Automatic Question Generation for the Portuguese Language
BJC Leite – 2020 – repositorio-aberto.up.pt
… IELTS International English Language Testing System IRT Item Response Theory IT Information Technology ITS Intelligent Tutoring Systems MOOC Massive open online course NCES National Center for Education Statistics NLG Natural Language Generation NLP Natural …

Anomaly detection through explanations
LH Gilpin – 2020 – dspace.mit.edu
Page 1. Anomaly Detection Through Explanations by Leilani Hendrina Gilpin BS, University of California, San Diego (2011) MS, Stanford University (2013) Submitted to the Department of Electrical Engineering and Computer Science …

Care2Report: Data management for a multimodal corpus
B Koffijberg – 2020 – dspace.library.uu.nl
Page 1. Care2Report: Data management for a multimodal corpus Master thesis Author: Brandon Koffijberg BSc (b.koffijberg@students.uu.nl), 6312810 Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands …

Neural generation of textual summaries from knowledge base triples
P Vougiouklis – 2020 – books.google.com
… The Semantic Web along with its sur- rounding technologies, such as the Web Ontology Language (OWL) and the Resource Description … Natural Language Generation (NLG) is concerned with the devel- opment of the textual interfaces that generate text that describes the input …

Using Natural Language Generation to Bootstrap Missing Wikipedia Articles: A Human-centric Perspective
LA Kaffee, P Vougiouklis… – Semantic Web …, 2020 – semantic-web-journal.net
… 47 48 48 49 49 50 50 51 51 Using Natural Language Generation to Bootstrap Missing Wikipedia Articles: A Human-centric Perspective … Abstract. Nowadays natural language generation (NLG) is used in everything from news reporting and chatbots to social media management …

Using Natural Language Generation to Bootstrap Empty Wikipedia Articles: A Human-centric Perspective
LA Kaffee, P Vougiouklis, E Simperl – semantic-web-journal.net
… 47 48 48 49 49 50 50 51 51 Using Natural Language Generation to Bootstrap Empty Wikipedia Articles: A Human-centric Perspective … Abstract. Nowadays natural language generation (NLG) is used in everything from news reporting and chatbots to social media management …