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 AG

T2 - 12th European Semantic Web Conference - ESWC 2015

Y2 - 31 May 2015 through 4 June 2015

ER -