YAGO-QA


YAGO (database) {related:}

See also:

AIML & WordNet | Best WordNet Videos | DBpedia & Natural Language Agents 2011 | Graph-Based Knowledge Representation and Reasoning | Knowledge Representation and Reasoning (KR&R) | Knowledgebase Construction | TALK (Tools for Ambient Linguistic Knowledge) | WikipediaMinerWordNet & Dialog Systems 2011 | YAGO2

100 Best Cloud Database Videos | 100 Best Data Integration Videos | 100 Best Graph Database Videos | Best XML Database Videos | Databases & Ontologies | Hamburg Metaphor Database | NLDB (Natural Language Database) | Robitron Databases | Streaming Data & Dialog Systems


Template-based question answering over RDF data C Unger, L Bühmann, J Lehmann… – Proceedings of the 21st …, 2012 – dl.acm.org … language question to a SPARQL template, we adopt the parsing and meaning con- struction mechanism of the question answering system Pythia [22]. … mark, 11 questions rely on namespaces which we did not incorporate for predicate detection: FOAF8 and YAGO9. Especially … Cited by 2

[PDF] from ufl.edu Morpheus: a deep web question answering system C Grant, CP George, J Gumbs, JN Wilson… – Proceedings of the 12th …, 2010 – dl.acm.org … The earliest question answering systems such as BASE- BALL [6] and Lunar [13] had closed domains and closed corpora, that is, they … YAGO is a semi-automatically constructed ontology ob- tained from the Wikipedia pages, info-boxes, categories, and WordNet4 synsets … Cited by 2 Related articles All 4 versions

[PDF] from mpg.de YAGO-QA: Answering questions by structured knowledge queries P Adolphs, M Theobald, U Schafer… – … (ICSC), 2011 Fifth …, 2011 – ieeexplore.ieee.org YAGO-QA: Answering Questions by Structured … Abstract—We present a natural-language question-answering system that gives access to the accumulated knowledge of one of the largest community projects on the Web – Wikipedia – via an automatically acquired structured … Cited by 1 Related articles All 9 versions

[PDF] from uzh.ch Leveraging community-built knowledge for type coercion in question answering A Kalyanpur, J Murdock, J Fan, C Welty – The Semantic Web–ISWC 2011, 2011 – Springer … challenge, is a state-of-the-art open-domain Question Answering system that tackles the fundamental issue of answer typing by … that leverage the community built semi-structured and structured knowledge resources — DBpedia (in conjunction with the YAGO ontology), Wikipedia … Cited by 3 Related articles All 4 versions

[PDF] from lrec-conf.org [PDF] Question answering biographic information and social network powered by the semantic web P Adolphs, X Cheng, T Klüwer, H Uszkoreit… – Proceedings of the 7th …, 2010 – lrec-conf.org … 2007. Aqualog: An ontology-driven question answering system for organizational semantic intranets. Journal of Web Semantics, 5(2):72–105. Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. 2007. Yago: A Core of Semantic Knowledge. … Cited by 4 Related articles View as HTML All 4 versions

SYSTEM AND METHOD FOR DOMAIN ADAPTATION IN QUESTION ANSWERING S Bagchi, DA Ferrucci, DC Gondek… – US Patent App. 13/ …, 2011 – Google Patents … [0042] In addition to the content for the ansWer and evi- dence sources, the example question ansWering system 100 … process is to identify and collect these resources, Which include databases, taxonomies, and ontologies, such as dbPedia, WordNet, and the Yago ontology. …

On the improvement of passage retrieval in Arabic question/answering (Q/A) systems L Abouenour – Natural Language Processing and Information Systems, 2011 – Springer … and Communication Technologies, IJICT (June 2010) 5. Abouenour, L., Bouzoubaa, K., Rosso, P.: Using the Yago ontology as a … Malta (May 2010) 6. Abouenour, L., Bouzoubaa, K., Rosso, P.: Three-level approach for Passage Retrieval in Arabic Question Answering Systems. … Related articles All 3 versions

[PDF] from wwwconference.org Deep answers for naturally asked questions on the web of data M Yahya, K Berberich, S Elbassuoni… – Proceedings of the 21st …, 2012 – dl.acm.org … variables. 4. DEMO DEANNA is an interactive question answering system. It allows … the interface. DEANNA currently runs over the Yago knowledge base (which contains 10 million entities, 140 re- lations, and 450 million facts). A … Cited by 2

[PDF] from emi.ac.ma [PDF] Using the Yago ontology as a resource for the enrichment of Named Entities in Arabic WordNet L Abouenour, K Bouzoubaa, P Rosso – Workshop on Language …, 2010 – emi.ac.ma … Therefore, considering the other relations and the whole content of Yago is among the intended future works. Acknowledgement … Abouenour L., Bouzoubaa K., Rosso P., 2009. “Three-level approach for Passage Retrieval in Arabic Question /Answering Systems”. In Proc. … Cited by 2 Related articles View as HTML All 5 versions

[PDF] from ufl.edu [PDF] A Realm-based Question Answering System Using Probabilistic Modeling CP George – 2010 – cise.ufl.edu … describes some of the existing ontologies and ontology building systems such as DBpedia, Word Net, and YAGO and limitations of their ontologies and methodologies in the scope … the ontology and associated corpora building process. 2.1 Question Answering Systems … Related articles View as HTML Library Search

Typing candidate answers using type coercion JW Murdock, A Kalyanpur, C Welty… – IBM Journal of …, 2012 – ieeexplore.ieee.org … type coercion; these components have a combined impact of nearly 5% on the accuracy of the IBM Watsoni question-answering system. … For example, in YAGO TyCor, given candidate Bdifficulty swallowing[ and lexical answer type (LAT) Bmanifestation[, EDM maps candidate to … Cited by 14

[PDF] from microsoft.com [PDF] Direct Answers for Search Queries in the Long Tail MS Bernstein, J Teevan, S Dumais, D Liebling… – 2012 – research.microsoft.com … Many question-answering systems are designed to address information needs with short phrases such as using search result n-grams to identify answers [2,5 … Finally, systems can employ curated knowledge bases such as YAGO [18] and match on them to answer some queries. … Related articles View as HTML All 2 versions

[PDF] from aaaipress.org Building Watson: An overview of the DeepQA project D Ferrucci, E Brown, J Chu-Carroll, J Fan, D Gondek… – AI Magazine, 2010 – aaai.org … To be a high-per- forming question-answering system, DeepQA must demonstrate both these properties to achieve high precision, high recall, and an accurate confidence estimation. The DeepQA Approach Early on in the project, attempts to adapt PIQUANT (Chu-Carroll et al. … Cited by 131 Related articles All 25 versions

Relation extraction and scoring in DeepQA C Wang, A Kalyanpur, J Fan… – IBM Journal of …, 2012 – ieeexplore.ieee.org … The YAGO (Yet Another Great Ontology) type system [18] is used to assign types to the relation arguments. … The Wikipedia page URLs are transformed into the corresponding DBpedia URIs, which then can be mapped to YAGO types. PDM is analogous to EDM. … Cited by 8

[PDF] from aclweb.org [PDF] Question Answering, Semantic Search and Data Service Querying S Quarteroni – the KRAQ11 Workshop: Knowledge and Reasoning for …, 2011 – aclweb.org … A. Moschitti and S. Quarteroni. 2010. Linguistic ker- nels for answer re-ranking in question answering systems. Information Processing & Management, In Press, Corrected Proof:–. FM Suchanek, G. Kasneci, and G. Weikum. 2007. Yago: a core of semantic knowledge. … Cited by 1 Related articles View as HTML All 8 versions

Automatic knowledge extraction from documents J Fan, A Kalyanpur, DC Gondek… – IBM Journal of …, 2012 – ieeexplore.ieee.org … the Watson question-answering system’s overall accuracy improved by 2.4%, and the PRISMATIC type coercion component consistently ranks in the top 3 … More recently, other large-scale knowledge bases such as DBpedia [12] and YAGO [13] that utilize crowd source results … Cited by 10

[PDF] from umbc.edu [PDF] UMBC CSEE Technical Report TR-CS-11-08 GoRelations: Towards an Intuitive Query System for RDF Data L Han, T Finin, A Joshi – 2012 – ebiquity.umbc.edu … Natural language question answering systems solve the prob- lem, but these are still subjects of research. … evaluation, we selected the 33 QALD test questions that could be answered using only the native DBpedia data, ie, without the additional assertions in the YAGO ontology. … Related articles View as HTML All 2 versions

Structured data and inference in DeepQA A Kalyanpur, BK Boguraev… – IBM Journal of …, 2012 – ieeexplore.ieee.org … The types are assigned from a collection of ontologies, including YAGO (Yet Another Great … Every YAGO type corresponding to a WordNet concept has the associated nine-digit WordNet sense identifier appended to its name/ID. … Cited by 10

Hybrid Geo-spatial Query Methods on the Semantic Web with a Spatially-Enhanced Index of DBpedia E Younis, C Jones, V Tanasescu… – Geographic Information …, 2012 – Springer … Mishra, A., Mishra, N., Agrawal, A.: Context-aware restricted geographical domain question answering system. … Suchanek, FM, Kasneci, G., Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of the 16th International Conference on World Wide Web, pp. …

Sporcle Goes AI C Carpenter, G Sutcliffe – Twenty-Fourth International FLAIRS Conference, 2011 – aaai.org … Introduction Recently there have been significant advances in question answering systems that take advantage of the huge amount of world knowledge that is now available online (Gunning, Chaudhri, and Welty 2010). … SPASS0XDB Curated KBs, eg, YAGO in SporcleAI. … Related articles All 2 versions

Overview of the 2009 QA Track: Towards a common task for QA, focused IR and automatic summarization systems V Moriceau, E SanJuan, X Tannier, P Bellot – Focused Retrieval and …, 2010 – Springer … Short parts of text (one or a very few words) are the most usual way to answer factual questions in so-called question-answering systems. Mostly, these answers are: Page 5. … In 2010, we will use the same corpus from ad-hoc INEX 2009 task but without the YAGO annotations. … Cited by 4 Related articles All 5 versions

Special Questions and techniques JM Prager, EW Brown… – IBM Journal of Research …, 2012 – ieeexplore.ieee.org … It is the job of the question-answering system to tease out the relevant information for answering the question. … the pun term is synonymous with an answer term, using WordNet** [7]. For INSTANCE, an answer term is an instance or subtype of the pun term, using YAGO TyCor [8 … Cited by 5

Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches and Trends A Freitas, J Oliveira, E Curry… – Internet Computing, …, 2012 – ieeexplore.ieee.org … In this category, PowerAqua [7] is a question answering system which uses PowerMap, a hybrid matching algorithm comprising terminology-level and structural schema … http://dbpedia.org/About 3 YAGO, url: http://www.mpi-inf.mpg.de/yago-naga/yago/ 4 Freebase, url: http://www … Cited by 8 Related articles All 6 versions

[PDF] from gate.ac.uk [PDF] Poweraqua: Supporting users in querying and exploring the semantic web content V Lopez, M Fernndez, E Motta, N Stieler – Semantic Web Journal, 2011 – gate.ac.uk … In this work, we present PowerAqua, an ontology- based Question Answering system that is able to answer queries by locating and integrating information, which can be mas- sively distributed across heterogeneous semantic … 19 http://www.mpi-inf.mpg.de/yago-naga/yago/ … Cited by 7 Related articles View as HTML

[PDF] from umbc.edu [PDF] Schema-Free Structured Querying of DBpedia Data L Han, T Finin, A Joshi – … of the 21st ACM Conference on …, 2012 – ebiquity.umbc.edu … 5. EVALUATION To evaluate ontology-based Question Answering systems, the 2011 Workshop on Question Answering over Linked Data [8] provided 50 training … that could be answered using only the DBpedia ontology, ie, without the additional assertions in the YAGO ontology … View as HTML

[PDF] from mpg.de [PDF] Explanations in dialogue systems through uncertain RDF knowledge bases D Sonntag, M Theobald – Workshop on Explanation-aware …, 2010 – domino.mpi-inf.mpg.de … [Lopez et al., 2005] Lopez, V., Pasin, M., and Motta, E. (2005). Aqualog: An ontology-portable question answering system for the semantic web. … [Suchanek et al., 2008] Suchanek, FM, Kasneci, G., and Weikum, G. (2008). YAGO – A Large Ontology from Wikipedia and WordNet. … Cited by 2 Related articles View as HTML All 8 versions

USING ONTOLOGICAL INFORMATION IN OPEN DOMAIN TYPE COERCION DA Ferrucci, AA Kalyanpur, JW Murdock IV… – US Patent App. 13/ …, 2011 – Google Patents … 3B; [0025] FIG. 6 depicts an excerpt of a structured knoWledge base such as a DBpedia page that is tightly interlinked With a YAGO type; [0026] FIG. … 1 illustrates the major components that com- prise a canonical question ansWering system 10 and their Work?oW. …

[PDF] from ed.ac.uk [CITATION] Topic indexing and retrieval for open domain factoid question answering K Ahn – 2009 – The University of Edinburgh Related articles All 2 versions

Naga: Searching and ranking knowledge G Kasneci, FM Suchanek, G Ifrim… – … , 2008. ICDE 2008. …, 2008 – ieeexplore.ieee.org … and compactness and uses them to rank query results. We demonstrate NAGA’s superior result quality over state-of-the-art search engines and question answering systems. I. INTRODUCTION The World Wide Web bears the … Cited by 141 Related articles Library Search All 13 versions

An experiment about using copulative and comparative sentences as constraining relations A Soto, JA Olivas, FP Romero… – … Systems Design and …, 2009 – ieeexplore.ieee.org … [16] Z. Zheng. “AnswerBus Question Answering System”. … “YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia”, Proceedings of the 16th international conference on World Wide Web, Banff, Alberta, Canada, pp. 697-706, 2007. … Cited by 1 Related articles All 3 versions

[PDF] from utl.pt [PDF] Answer Selection in Question/Answering HP Rodrigues – 2012 – dspace.ist.utl.pt Page 1. Answer Selection in Question/Answering Hugo Patinho Rodrigues Dissertation for the Degree of Master of Information Systems and Computer Engineering Jury President: Prof. Doctor Joaquim Armando Pires Jorge Supervisor: Prof. … View as HTML

[PDF] from uiuc.edu [PDF] Automated knowledge extraction from wikipedia B Hadidi, N Johri, D Pantley, A Pradham… – Available upon request …, 2010 – acm.uiuc.edu … The question answering system is explained in de- tail in this section. … We then extracted the head word of each of our nouns and relations, using a NounGroup parser3 that was developed for the YAGO-NAGA project [Gjergji Kasneci and Weikum 2008] . … Cited by 1 Related articles View as HTML

Report on INEX 2009 T Beckers, P Bellot, G Demartini, L Denoyer… – ACM SIGIR Forum, 2010 – dl.acm.org … The YAGO tags potentially expressing an information need naturally in terms of structural constraints, were popular: 36 CAS queries used them (21 of … of text (one or a very few words) are the most usual way to answer factual questions in so-called question-answering systems. … Cited by 1 Related articles All 2 versions

Introduction to “This is Watson” DA Ferrucci – IBM Journal of Research and Development, 2012 – ieeexplore.ieee.org … No component in the system was pretrained in classifying Bdirections.[ Rather, Watson uses an extensible ensemble of techniques based on a wide variety of textual and ontological resources, including PRISMATIC [21], YAGO [25], and WordNet** [26]. … Cited by 3

[PDF] from eprover.org [PDF] Satisfiability Checking and Query Answering for large Ontologies C Weidenbach, P Wischnewski12 – … of Automated Reasoning June 30 & …, 2011 – eprover.org … experiments. The YAGO++ on- tology that we used for our experiments includes the first-order representation of the YAGO ontology plus further axioms. … Pelzer. Loganswer-a deduction-based question answering system (system description). … View as HTML

[PDF] from uiowa.edu Information extraction from Wikipedia: Moving down the long tail F Wu, R Hoffmann, DS Weld – Proceeding of the 14th ACM SIGKDD …, 2008 – dl.acm.org Page 1. Information Extraction from Wikipedia: Moving Down the Long Tail Fei Wu, Raphael Hoffmann, Daniel S. Weld Computer Science & Engineering Department University of Washington, Seattle, WA, USA {wufei, raphaelh, weld}@cs.washington.edu … Cited by 64 Related articles All 22 versions

[PDF] from uni-potsdam.de RISQ! Renowned Individuals Semantic Quiz: a Jeopardy like quiz game for ranking facts L Wolf, M Knuth, J Osterhoff, H Sack – Proceedings of the 7th …, 2011 – dl.acm.org … 1. INTRODUCTION In February 2011 the Watson Question Answering system [2] built by the IBM Research team challenged two human champions in the … d-nb.de/standardisierung/ normdateien/pnd.htm 9http://www.freebase.com/ 10http://www.mpi-inf.mpg.de/yago-naga/yago … Cited by 1 Related articles All 3 versions

[PDF] from gabrilovich.com Augmenting Wikipedia-Extraction with Results from the Web F Wu, R Hoffmann, DS Weld – Wikipedia and Artificial Intelligence: An …, 2008 – aaai.org … Brill, E.; Dumais, S.; and Banko, M. 2002. An analysis of the AskMSR question-answering system. In Proceedings of EMNLP02. … In Proceedings of AAAI07. Suchanek, FM; Kasneci, G.; and Weikum, G. 2007. Yago: A core of semantic knowledge – unifying WordNet and Wikipedia. … Cited by 1 Related articles All 14 versions

[PDF] from edwardcurry.org Querying linked data using semantic relatedness: a vocabulary independent approach A Freitas, J Oliveira, S O’Riain, E Curry… – … and Information Systems, 2011 – Springer … to overloading classes with complex types (eg for the query Q30 the associated pivot is a class yago:HostCitiesOfTheSummerOlympicGames). … PowerAqua [13] is a question answering system focused on natural language questions over Se- mantic Web/Linked Data datasets. … Cited by 10 Related articles All 7 versions

[PDF] from tuwien.ac.at Semantic search on the Web B Fazzinga, T Lukasiewicz – Semantic Web, 2010 – IOS Press … 238–245. Springer, 2006. [22] V. Lopez, M. Pasin, and E. Motta. AquaLog: An ontology- portable question answering system for the Semantic Web. In Proc. … 98–113. Springer, 2008. [27] FM Suchanek, G. Kasneci, and G. Weikum. Yago: A core of semantic knowledge. In Proc. … Cited by 9 Related articles All 4 versions

[PDF] from uiuc.edu Autonomously semantifying wikipedia F Wu, DS Weld – Proceedings of the sixteenth ACM conference on …, 2007 – dl.acm.org Page 1. Autonomously Semantifying Wikipedia Fei Wu Daniel S. Weld Computer Science & Engineering Department, University of Washington, Seattle, WA, USA {wufei,weld}@cs.washington.edu ABSTRACT Berners-Lee’s … Cited by 188 Related articles All 22 versions

[PDF] from pitt.edu A Study of Relation Annotation in Business Environments Using Web Mining Q Li, D He, M Mao – Semantic Computing, 2009. ICSC’09. IEEE …, 2009 – ieeexplore.ieee.org … System. ACL02, Philadelphia. 2002. [11] O. Etzioni, MJ Cafarella, D. Downey, AM Popescu, et al., Unsupervised Named-Entity Extraction From The Web: An Experimental Study. Artificial Intelligence, 165(1):91–134.2005 [15] Suchanek, FM, Kasneci, G., & Weikum, G. Yago: A … Cited by 2 Related articles All 4 versions

Domain-Specific Ontology Construction from Hierarchy Web Documents X Liu, J Xu, F Li – Semantics Knowledge and Grid (SKG), 2011 …, 2011 – ieeexplore.ieee.org … PREFIX resource: <http://www.mpii.de/yago/resource/> SELECT ?subj ?relation ?obj WHERE {resource: Albert_Einstein ?relation ?obj} C. JENA … x Combined with YAGO2, form an ontology group, and then apply them in automatic Question Answering System. … Related articles All 3 versions

[PDF] from uu.nl [PDF] Linking Dutch Wikipedia Categories to EuroWordNet G Bouma – Proceedings of the 19th Computational Linguistics in …, 2009 – lotos.library.uu.nl … Question answering systems that have to deal with general WH-questions (eg which tennisplayer was stabbed with a knife?) or list questions … Another intriguing possibility is an interlingual approach, which maps the Wikipedia/WordNet links for English in YAGO (Suchanek et al. … Cited by 3 Related articles View as HTML All 10 versions

[PDF] from rug.nl Topic indexing and retrieval for factoid qa K Ahn, B Webber – Coling 2008: Proceedings of the 2nd workshop on …, 2008 – dl.acm.org … Kim, Harksoo, Kyungsun Kim, Gary Geunbae Lee, and Jungyun Seo. 2001. MAYA: A fast question- answering system based on a predictive answer in- dexer. … 2007. Yago: A core of seman- tic knowledge – unifying WordNet and Wikipedia. … Cited by 1 Related articles All 13 versions

[PDF] from linguateca.pt [PDF] Getting geographical answers from Wikipedia: the GikiP pilot at CLEF D Santos, N Cardoso, P Carvalho, I Dornescu… – Working notes for the …, 2008 – linguateca.pt Page 1. Getting geographical answers from Wikipedia: the GikiP pilot at CLEF Diana Santos1, Nuno Cardoso2, Paula Carvalho2, Iustin Dornescu3, Sven Hartrumpf4 Johannes Leveling4, Yvonne Skalban3 1Linguateca, Oslo … Cited by 15 Related articles View as HTML All 15 versions

[PDF] from psu.edu The Fast and the Numerous–Combining Machine and Community Intelligence for Semantic Annotation S Blohm, M Krötzsch, P Cimiano – Wikipedia and Artificial Intelligence: An …, 2008 – aaai.org … 2007) system prompts users for natural language statements on a given entity. In a similar way, the Knowledge Base of the True KnowledgeT M question answering system can be ex- tended by users. … Yago: A core of semantic knowledge. In Proc. 16th Int. Conf. … Related articles All 16 versions

[PDF] from uniroma1.it [PDF] Taxonomy induction based on a collaboratively built knowledge repository SP Ponzetto, M Strube – Artificial Intelligence, 2011 – wwwusers.di.uniroma1.it Page 1. Artificial Intelligence 175 (2011) 1737–1756 Contents lists available at ScienceDirect Artificial Intelligence www.elsevier.com/locate/artint Taxonomy induction based on a collaboratively built knowledge repository Simone Paolo Ponzettoa,* , Michael Strube b … Cited by 8 Related articles View as HTML All 9 versions

Expert-Built and Collaboratively Constructed Lexical Semantic Resources I Gurevych, E Wolf – Language and Linguistics Compass, 2010 – Wiley Online Library … (2007) make use of the vast number of named entities (like persons, organizations, products, etc.) contained in Wikipedia and the clear taxonomy in WordNet. They propose the ontology YAGO, which contains more than 1 million named entities and 5 million facts. … Cited by 2 Related articles

[PDF] from arxiv.org Mining meaning from Wikipedia O Medelyan, D Milne, C Legg, IH Witten – International Journal of Human- …, 2009 – Elsevier Cited by 122 Related articles Library Search All 23 versions

[PDF] from uni-saarland.de [PDF] 108. Semantic research in computational linguistics A Koller, M Pinkal – 2012 – coli.uni-saarland.de … Inference is required, for instance, when a question- answering system determines whether an answer candidate in a document collection actually answers a given question, or when an automatic summa- rization system must figure out to which extent two sentences describe … View as HTML

Knowledge Infusion from Open Knowledge Sources: an Artificial Player for a Language Game G Semeraro, M de Gemmis, P Lops… – Intelligent Systems, …, 2011 – ieeexplore.ieee.org … IBM realized Watson, a question answering system which successfully challenged Jeopardy … both unstructured content (en- cyplopedias, dictionaries, thesauri) and semistructured and structured content such as databases, taxonomies, and ontologies (DBPedia, WordNet, Yago). … Related articles All 6 versions

Extraction of Semantic Relation Based on Feature Vector from Wikipedia DT Vo, CY Ock – PRICAI 2012: Trends in Artificial Intelligence, 2012 – Springer … Ravichandran, D., Hovy, E.: Learning Surface Text Patterns for a Question Answering System. In: Proceedings of ACL 2002, pp. … Springer, Heidelberg (2005) 12. Suchanek, FM, Kasneci, G., Weikum, G.: YAGO: A Core of Semantic Knowledge Un- ifying WordNet and Wikipedia. …

[PDF] from shef.ac.uk [PDF] Automatically enriching knowledge bases using Wikipedia PhD Transfer Report S Fernando – 2008 – staffwww.dcs.shef.ac.uk … including in- formation retrieval (Nie and Brisebois, 1996), text summarization (Barzilay and Elhadad, 1999), and question answering systems (Moldovan and … Previous work has successfully derived a large ontology (Yet Another Great Ontology, or YAGO) by combining the … Related articles View as HTML

[PDF] from usc.edu Automatically refining the wikipedia infobox ontology F Wu, DS Weld – Proceeding of the 17th international conference on …, 2008 – dl.acm.org … this section we explain how KOG generates two mappings between infobox classes and WordNet nodes: ?(c) returns a node whose name closely matches the name of c, while ?(c) denotes the node which most frequently characterizes the instances of c ac- cording to Yago [32 … Cited by 170 Related articles All 30 versions

Cluster-based exploration for effective keyword search over semantic datasets R De Virgilio, P Cappellari, M Miscione – Conceptual Modeling-ER 2009, 2009 – Springer Page 1. Cluster-Based Exploration for Effective Keyword Search over Semantic Datasets Roberto De Virgilio 1 , Paolo Cappellari 2 , and Michele Miscione 1 1 Dipartimento di Informatica e Automazione Universitá Roma Tre … Cited by 8 Related articles All 4 versions

[PDF] from dcu.ie Web 2.0, Language Resources and standards to automatically build a multilingual Named Entity Lexicon A Toral, S Ferrández, M Monachini… – Language Resources and …, 2009 – Springer … Finally, in order to check the usefulness of the constructed resource, we apply it into a state- of-the-art Question Answering system and evaluate its impact; the NE lexicon improves the system’s accuracy by … Other approaches have neglected this step, eg YAGO (Suchanek et al. … Cited by 1 Related articles All 9 versions

Subjunctive interfaces for the Web A Lunzer, K Hornbæk – No Code Required: Giving Users Tools to …, 2010 – books.google.com … There is some evidence that users are alert to this: for example, Lin et al.(2003) found, in a study of users’ attitudes to question-answering systems, a tendency to feel uncomfortable … This was especially useful for hard-to-remember entities, such as YAGO subject descriptors. …

[PDF] from ucf.edu Automatically acquiring a semantic network of related concepts S Szumlanski, F Gomez – Proceedings of the 19th ACM international …, 2010 – dl.acm.org … Suchanek et al. [31] derived a semantic network called YAGO from the underly- ing structure of Wikipedia articles. Over 73% of the facts in YAGO are encompassed by its isCalled, type, and means re- lations, which are indicative of semantic similarity. … Cited by 6 Related articles All 4 versions

[PDF] from uni-bielefeld.de [PDF] Improving Semantic Search Using Query Log Analysis? K Elbedweihy, SN Wrigley… – Interacting …, 2012 – greententacle.techfak.uni-bielefeld. … … They included non-semantically equivalent ones like yago: RussianPopulationGroups and res: General Population, which–although they could be … information relevant to the query) 6. Although Se- mantic Web search engines and question answering systems index much more … View as HTML

[PDF] from europarchive.org Keyword search over RDF graphs S Elbassuoni, R Blanco – Proceedings of the 20th ACM international …, 2011 – dl.acm.org … Examples of such knowledge bases include YAGO [26], DBpedia [1] and Freebase [7]. These repositories contain en- tities such as people, movies, books, etc. and the relationships be- tween them such as bornIn , actedIn , isAuthorOf and so on. … Cited by 2 Related articles All 4 versions

Minimally-Supervised Extraction of Domain-Specific Part-Whole Relations using Wikipedia as Knowledge-Base A Ittoo, G Bouma – Data & Knowledge Engineering, 2012 – Elsevier … blocks of many Natural Language Processing (NLP) applications, such as ontology learning/building [15] and question-answering systems [14] and [16]. … Structured information, available from infoboxes, has been exploited for building large ontologies, such as YAGO [36] …

[PDF] from mpg.de DB&IR: both sides now G Weikum – Proceedings of the 2007 ACM SIGMOD international …, 2007 – dl.acm.org … This would go way beyond what Web search engines or even natural-language question-answering systems can provide today. … 28 Page 5. [57] Fabian Suchanek, Gjergji Kasneci, Gerhard Weikum: YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia. … Cited by 44 Related articles All 11 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 13th International Conference, Cicling 2012, New Delhi, India, March 11-17, 2012, Proceedings A Gelbukh – 2012 – books.google.com Page 1. Alexander Gelbukh (Ed.) Computational Linguistics and Intelligent Text Processing 13th International Conference, C|CLing 2012 New Delhi, India, March 2012 Proceedings, Part I LNCS 7181 @ Springer Page 2. Lecture …

[PDF] from talukdar.net Coupled temporal scoping of relational facts PP Talukdar, D Wijaya, T Mitchell – … conference on Web search and data …, 2012 – dl.acm.org … in a timeline can greatly benefit user experience in their exploration of knowledge evolution [2]. In a search or question answering system, time-sensitive … To the best of our knowledge, Timely YAGO [27] and PRAVDA [26], two re- cently proposed techniques, are the only systems … Cited by 7 Related articles All 5 versions

[PDF] from ups-tlse.fr Approaches to implement and evaluate aggregated search A Kopliku – 2011 – thesesups.ups-tlse.fr Page 1. ? ? ? ? ? 0$503″5 %& – 6/*7&34*5² %& 506-064& ? ? ? ? ? M ? ? ?: Université Toulouse III Paul Sabatier (UT3 Paul Sabatier) …

QASYO: A Question Answering System for YAGO Ontology AMM Abdullah M. Moussa… – International Journal of …, 2011 – earticle.net The tremendous development in information technology led to an explosion of data and motivated the need for powerful yet efficient strategies for data mining and knowledge discovery. Question Answering (QA) systems made it possible to ask questions and retrieve answers using … Cached

[PDF] from pascal-network.org Lexical entailment and its extraction from Wikipedia E Shnarch – 2008 – eprints.pascal-network.org … by LHS ? RHS. This relation is very useful in many Natural Language Process- ing (NLP) applications. For instance, a Question Answering system may use the lexical entailment rule cruiser ? ship in order to find the answer to the question … Cited by 3 Related articles All 2 versions

The people’s encyclopedia under the gaze of the sages: A systematic review of scholarly research on Wikipedia C Okoli, M Mehdi, M Mesgari, F Nielsen, A Lanamäki – 2012 – papers.ssrn.com Page 1. The people’s encyclopedia under the gaze of the sages: A systematic review of scholarly research on Wikipedia Chitu Okoli John Molson School of Business, Concordia University Montreal, Canada Chitu.Okoli@concordia.ca … Cited by 1

[PDF] from washington.edu [PDF] Inference Over the Web S Schoenmackers – 2011 – redesign.cs.washington.edu … bases have the potential to significantly improve future Web search engines and Web-based Question-Answering systems, allowing them to answer more complex queries. … tences, identifying semantic relations in text. The Kylin [70] and Yago [63] systems extract … Related articles View as HTML Library Search All 7 versions

[PDF] from uni-saarland.de Searching and ranking in entity-relationship graphs G Kasneci – 2009 – scidok.sulb.uni-saarland.de … For example, none of these question answering systems can answer the question about prizes won by physicists who had Max Planck as academic advisor. The opportunities that have guided this work and especially the YAGO-NAGA project [96, 17] are the following: • We see … Related articles All 12 versions

[PDF] from aclweb.org [PDF] Reading The Web with Learned Syntactic-Semantic Inference Rules N Lao, A Subramanya, F Pereira… – EMNLP, page (to appear), 2012 – aclweb.org … corpus (macroreading). In addition, their work involves a few thousand examples, while we aim for Web-scale extraction. Do and Roth (2010) use a KB (YAGO) to aid the generation of features from free text. However their method … Cited by 1 View as HTML

[PDF] from stanford.edu [PDF] Semantic taxonomy induction RL Snow – 2009 – ai.stanford.edu Page 1. SEMANTIC TAXONOMY INDUCTION A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS … Cited by 1 Related articles View as HTML Library Search All 5 versions

[PDF] from sunamkim.me [PDF] Large-scale noun compound interpretation using bootstrapping and the web as a corpus SN Kim, P Nakov – Proceedings of the Conference on Empirical …, 2011 – sunamkim.me … For example, a question answering system might need to know whether protein acting as a tumor suppressor is a good paraphrase for tumor suppressor … were in- terested in building a semantic ontology with a pre- defined set of semantic relations, similar to YAGO (Suchanek et … Cited by 4 Related articles View as HTML All 11 versions

Path-oriented keyword search over graph-modeled Web data P Cappellari, R De Virgilio, M Roantree – World Wide Web, 2011 – Springer Page 1. World Wide Web DOI 10.1007/s11280-011-0153-1 Path-oriented keyword search over graph-modeled Web data Paolo Cappellari·Roberto De Virgilio· Mark Roantree Received: 15 April 2011 / Revised: 27 November … Related articles

[PDF] from mdpi.com Ontology-based information behaviour to improve web search S Calegari, G Pasi – Future Internet, 2010 – mdpi.com Page 1. Future Internet 2010, 2, 533-558; doi:10.3390/fi2040533 OPEN ACCESS future internet ISSN 1999-5903 www.mdpi.com/journal/futureinternet Article Ontology-Based Information Behaviour to Improve Web Search Silvia Calegari ? and Gabriella Pasi … Cited by 8 Related articles All 3 versions

[PDF] from knoesis.org [PDF] Linked Open Data Alignment & Querying P Jain – 2012 – knoesis.org Page 1. Linked Open Data Alignment & Querying A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy By PRATEEK JAIN B. Tech., DA-IICT, India, 2006 2012 Wright State University Page 2. COPYRIGHT BY Prateek Jain 2012 … View as HTML

[PDF] from miami.edu Using Controlled Natural Language for World Knowledge Reasoning NC Dellis – 2010 – scholarlyrepository.miami.edu Page 1. University of Miami Scholarly Repository Open Access Theses Electronic Theses and Dissertations 2010-01-01 Using Controlled Natural Language for World Knowledge Reasoning Nelson Charles Dellis University of Miami, nelson.dellis@gmail.com … Related articles All 2 versions

[PDF] from washington.edu [PDF] Machine Reading: from Wikipedia to the Web F Wu – 2010 – redesign.cs.washington.edu Page 1. Machine Reading: from Wikipedia to the Web Fei Wu A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2010 Program Authorized to Offer Degree: Computer Science and Engineering Page 2. … Cited by 1 Related articles View as HTML Library Search All 8 versions

[PDF] from websemanticsjournal.org [PDF] Semantic Web Search Based on Ontological Conjunctive Queries T Lukasiewicz, B Fazzinga… – … and Agents on …, 2012 – test.websemanticsjournal.org Page 1. Semantic Web Search Based on Ontological Conjunctive Queries1 Bettina Fazzingaa, Giorgio Gianformeb, Georg Gottlobc, and Thomas Lukasiewiczd,* aDipartimento di Elettronica, Informatica e Sistemistica, Universit`a della Calabria, Italy … Related articles View as HTML All 10 versions

[PDF] from semanticweb.org Pore: Positive-only relation extraction from wikipedia text G Wang, Y Yu, H Zhu – The Semantic Web, 2007 – Springer … semantic knowledge base. A recent study [13] directly extracted structured tables of relations from Wikipedia using pattern matching. YAGO [31] built an ontology by extracting relations from Wikipedia categories. It mainly employed … Cited by 31 Related articles BL Direct All 11 versions

[PDF] from ox.ac.uk Semantic Web search based on ontological conjunctive queries B Fazzinga, G Gianforme, G Gottlob… – Web Semantics: Science, …, 2011 – Elsevier Cited by 18 Related articles All 5 versions

Minimally Supervised Novel Relation Extraction Using a Latent Relational Mapping D Bollegala, Y Matsuo… – Knowledge and Data …, 2011 – ieeexplore.ieee.org Page 1. 1 Minimally Supervised Novel Relation Extraction using a Latent Relational Mapping Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka, Abstract—The World Wide Web includes semantic relations of numerous types that exist among different entities. … Related articles All 6 versions

[PDF] from eepis-its.edu [PDF] on the World Wide Web B Fazzinga, G Gianforme, G Gottlob… – … , Services and Agents …, 2011 – lecturer.eepis-its.edu Page 1. Semantic Web search based on ontological conjunctive queriesq Bettina Fazzinga a, Giorgio Gianforme b, Georg Gottlob c,d, Thomas Lukasiewicz c,* a Dipartimento di Elettronica, Informatica e Sistemistica, Universita … View as HTML

[PDF] from uaic.ro [PDF] Predication Driven Textual Entailment MA Moruz – 2011 – profs.info.uaic.ro … The issue of natural language variability needs to be addressed by various robust natural language processing applications, such as machine translation systems, summarization systems, question answering systems (QA) information … Cited by 2 Related articles View as HTML All 3 versions

[PDF] from psu.edu [PDF] Geographic Information Retrieval: Classification, Disambiguation and Modelling SE Overell – Department of Computing, 2009 – Citeseer Page 1. Imperial College London Department of Computing Geographic Information Retrieval: Classification, Disambiguation and Modelling Simon E Overell Submitted in part fulfilment of the requirements for the degree of Doctor … Cited by 16 Related articles View as HTML All 8 versions

[PDF] from mpg.de [PDF] Deriving a Web-Scale Common Sense Fact Knowledge Base N Tandon, G Weikum, G de Melo, M Theobald – 2011 – domino.mpi-inf.mpg.de … “New Delhi is the capital of India”, “Mount Everest is 8,840 meters high”. Such knowledge bases form the backbone of question answering systems like Watson [Ferrucci et al., 2010]. … Carlson et al., 2010]. 3 Page 14. Property Desired YAGO Cyc ConceptNet Wordnet TextRunner … Related articles View as HTML All 4 versions

[PDF] from rug.nl [PDF] Natural Language Processing meets Business RA Ittoo – 2011 – dissertations.ub.rug.nl … 175 8.4.6 Ontology Learning ….. 175 8.4.7 Question-Answering Systems ….. 175 Bibliography ….. … Related articles View as HTML

[PDF] from websemanticsjournal.org Searching and browsing linked data with SWSE: the semantic web search engine A Hogan, A Harth, J Umbrich, S Kinsella… – Web Semantics: Science …, 2011 – Elsevier Cited by 25 Related articles All 20 versions

[PDF] from nottingham.edu.my [PDF] Intelligent Semantic-Enhanced Information Search and Retrieval on the Semantic Web W Wei, NM Campus, A Bargiela – 2007 – baggins.nottingham.edu.my Page 1. Intelligent Semantic-Enhanced Information Search and Retrieval on the Semantic Web Wang Wei An annual report submitted to the University of Nottingham, Malaysia Campus for the degree of MPil/PhD in the Faculty of Computer Science and Engineering … Related articles View as HTML All 2 versions

[PDF] from archives-ouvertes.fr Un cadre de développement sémantique pour la recherche sociale J Stan – 2011 – hal.archives-ouvertes.fr Page 1. UNIVERSITY OF LYON – UNIVERSITÉ JEAN-MONNET DOCTORAL SCHOOL Sciences, Ingénierie, Santé (ED 488) PHD THESIS to obtain the title of Doctor in Computer Science of the University Jean-Monnet Specialty : Computer Science Submitted by Johann STAN …