CETUS – a baseline approach to type extraction
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Semantic Web Evaluation Challenges - SemWebEval, ESWC 2015, Revised Selected Papers. ed. / Milan Stankovic; Fabien Gandon; Elena Cabrio; Antoine Zimmermann. Springer International Publishing, 2015. p. 16-27 (Communications in Computer and Information Science; Vol. 548).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - CETUS – a baseline approach to type extraction
AU - Röder, Michael
AU - Usbeck, Ricardo
AU - Speck, René
AU - Ngonga Ngomo, Axel Cyrille
N1 - Conference code: 12
PY - 2015
Y1 - 2015
N2 - The concurrent growth of the Document Web and the Data Web demands accurate information extraction tools to bridge the gap between the two. In particular, the extraction of knowledge on real-world entities is indispensable to populate knowledge bases on theWeb of Data. Here, we focus on the recognition of types for entities to populate knowledge bases and enable subsequent knowledge extraction steps.We present CETUS, a baseline approach to entity type extraction. CETUS is based on a three-step pipeline comprising (i) offline, knowledge-driven type pattern extraction from natural-language corpora based on grammar-rules,(ii) an analysis of input text to extract types and (iii) the mapping of the extracted type evidence to a subset of the DOLCE+DnS Ultra Lite ontology classes. We implement and compare two approaches for the third step using the YAGO ontology as well as the FOX entity recognition tool.
AB - The concurrent growth of the Document Web and the Data Web demands accurate information extraction tools to bridge the gap between the two. In particular, the extraction of knowledge on real-world entities is indispensable to populate knowledge bases on theWeb of Data. Here, we focus on the recognition of types for entities to populate knowledge bases and enable subsequent knowledge extraction steps.We present CETUS, a baseline approach to entity type extraction. CETUS is based on a three-step pipeline comprising (i) offline, knowledge-driven type pattern extraction from natural-language corpora based on grammar-rules,(ii) an analysis of input text to extract types and (iii) the mapping of the extracted type evidence to a subset of the DOLCE+DnS Ultra Lite ontology classes. We implement and compare two approaches for the third step using the YAGO ontology as well as the FOX entity recognition tool.
KW - Informatics
KW - Entity Recognition
KW - Baseline Approach
KW - Type Extraction
KW - Super Class
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=84951292740&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-25518-7_2
DO - 10.1007/978-3-319-25518-7_2
M3 - Article in conference proceedings
AN - SCOPUS:84951292740
SN - 978-3-319-25517-0
T3 - Communications in Computer and Information Science
SP - 16
EP - 27
BT - Semantic Web Evaluation Challenges - SemWebEval, ESWC 2015, Revised Selected Papers
A2 - Stankovic, Milan
A2 - Gandon, Fabien
A2 - Cabrio, Elena
A2 - Zimmermann, Antoine
PB - Springer International Publishing
T2 - 12th European Semantic Web Conference - ESWC 2015
Y2 - 31 May 2015 through 4 June 2015
ER -