Knowledge extraction

Results: 304



#Item
181Artificial intelligence / DBpedia Spotlight / DBpedia / Information extraction / Semantic similarity / Word-sense disambiguation / Cyc / Knowledge base / Predicate / Semantic Web / Science / Linguistics

Entity Linking for Open Information Extraction Arnab Dutta, Michael Schuhmacher Research Group Data and Web Science, University of Mannheim, Germany {arnab,michael}@informatik.uni-mannheim.de Abstract. Open domain infor

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Source URL: dws.informatik.uni-mannheim.de

Language: English - Date: 2014-09-29 11:42:09
182National Institutes of Health / Cancer research / Prostate cancer / Electronics and Telecommunications Research Institute / MIC / Software / Free software / 3DSlicer

NA-MIC Center Summary Quantitative image analysis is essential for the extraction of knowledge from biomedical images. The National Alliance for Medical Image Computing (NA-MIC) is a multi-institutional NCBC that is inve

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Source URL: commonfund.nih.gov

Language: English - Date: 2014-04-28 15:02:32
183Information science / Knowledge engineering / Science / Ontology / Ontology alignment / Knowledge representation / Information / Semantic Web

PLATAL - A Tool for Web Hierarchies Extraction and Alignment Bernardo Severo1 , Cassia Trojahn2 , and Renata Vieira1 1 Pontif´ıcia Universidade Cat´

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Source URL: ceur-ws.org

Language: English - Date: 2013-08-30 14:04:52
184Knowledge / Linguistics / Natural language processing / Information extraction / Gazetteer / Scientific modelling / System / Science / Computational linguistics / Named-entity recognition

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition Erik F. Tjong Kim Sang and Fien De Meulder CNTS - Language Technology Group University of Antwerp {erikt,fien.demeulder}@uia.ua.ac

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Source URL: www.cnts.ua.ac.be

Language: English - Date: 2003-06-10 10:24:51
185Information extraction / Unstructured data / Information science / Natural language processing / Science / Artificial intelligence

Knowledge Discovery & Dissemination Entities and Relationships from New Structured & Unstructured Data Sets Program Manager: Dr. Arthur Becker; E-mail: [removed] GOAL:

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Source URL: www.iarpa.gov

Language: English - Date: 2014-11-17 15:11:19
186Speech recognition / Linguistics / Knowledge / Annotation / Information extraction / Semantic analysis / Computational linguistics / Natural language processing / Science

Automatic extraction of semantics in law documents Claudia Soria∗ , Roberto Bartolini∗ , Alessandro Lenci◦ , Simonetta Montemagni∗ , Vito Pirrelli∗ ∗ ◦

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Source URL: www.e-p-a-p.com

Language: English - Date: 2007-05-08 04:26:18
187Knowledge representation / World Wide Web / Ontology / Natural language processing / DBpedia / Information extraction / Linked data / Predicate / Cyc / Semantic Web / Science / Information

Integrating Open and Closed Information Extraction: Challenges and First Steps Arnab Dutta1 , Mathias Niepert2 , Christian Meilicke1 , Simone Paolo Ponzetto1 1 2

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Source URL: ceur-ws.org

Language: English - Date: 2013-09-15 21:46:42
188Critical thinking / Knowledge representation / Artificial intelligence / Reasoning / Information science / Artificial intelligence and law / Ontology / Wyner / JURIX / Science / Information / Knowledge

TEXTUAL INFORMATION EXTRACTION AND ONTOLOGIES FOR LEGAL CASE-BASED REASONING ISKO LEGAL KNOW-HOW

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Source URL: www.iskouk.org

Language: English - Date: 2010-11-12 15:55:51
189Science / DBpedia / Linked data / UMBEL / Knowledge base / YAGO / Ontology / Information extraction / Wikipedia / Semantic Web / World Wide Web / Information

Improving the Quality of Linked Data Using Statistical Distributions Heiko Paulheim* and Christian Bizer University of Mannheim, Germany Data and Web Science Group

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Source URL: www.heikopaulheim.com

Language: English - Date: 2014-08-01 05:43:04
190Ontology / Semantic Web / Information science / Technical communication / General Architecture for Text Engineering / Information extraction / Semantic integration / JAPE / CIDOC Conceptual Reference Model / Science / Knowledge representation / Information

1 This paper is a pre-print version presented at the ISKO UK 2009 conference, 22-23 June, prior to peer review and editing. For published proceedings see special issue of Aslib Proceedings journal. Excavating Grey Litera

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Source URL: www.iskouk.org

Language: English - Date: 2009-06-04 15:22:30
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