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ITEM: Extract and integrate entities from tabular data to RDF knowledge base
Abstract Many RDF Knowledge Bases are created and eMany RDF Knowledge Bases are created and enlarged by mining and extracting web data. Hence their data sources are limited to social tagging networks, such as Wikipedia, WordNet, IMDB, etc., and their precision is not guaranteed. In this paper, we propose a new system, ITEM, for extracting and integrating entities from tabular data to RDF knowledge base. ITEM can efficiently compute the schema mapping between a table and a KB, and inject novel entities into the KB. Therefore, ITEM can enlarge and improve RDF KB by employing tabular data, which is assumed of high quality. ITEM detects the schema mapping between table and RDF KB only by tuples, rather than the table's schema information. Experimental results show that our system has high precision and good performance.m has high precision and good performance.
Abstractsub Many RDF Knowledge Bases are created and eMany RDF Knowledge Bases are created and enlarged by mining and extracting web data. Hence their data sources are limited to social tagging networks, such as Wikipedia, WordNet, IMDB, etc., and their precision is not guaranteed. In this paper, we propose a new system, ITEM, for extracting and integrating entities from tabular data to RDF knowledge base. ITEM can efficiently compute the schema mapping between a table and a KB, and inject novel entities into the KB. Therefore, ITEM can enlarge and improve RDF KB by employing tabular data, which is assumed of high quality. ITEM detects the schema mapping between table and RDF KB only by tuples, rather than the table's schema information. Experimental results show that our system has high precision and good performance.m has high precision and good performance.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-20291-9_45  +
Has author Guo X. + , Yirong Chen + , Jilin Chen + , Du X. +
Has extra keyword Data source + , Entity extractions + , High precision + , High quality + , Knowledge base + , Knowledge basis + , New system + , RDF Knowledge Base + , Schema information + , Schema Mapping + , Schema mappings + , Social tagging + , Tabular data + , Web data + , Wikipedia + , Wordnet + , Data mining + , Knowledge based systems +
Has keyword Entity Extraction + , RDF Knowledge Base + , Schema Mapping +
Isbn 9783642202902  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 400–411  +
Published in Lecture Notes in Computer Science +
Title ITEM: Extract and integrate entities from tabular data to RDF knowledge base +
Type conference paper  +
Volume 6612 LNCS  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 7 November 2014 19:13:51  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 19:13:51  +
DateThis property is a special property in this wiki. 2011  +
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ITEM: Extract and integrate entities from tabular data to RDF knowledge base + Title
 

 

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