Ontology extraction from tables on the web

Masahiro Tanaka*, Toru Ishida

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Previous works on information extraction from tables make use of prior knowledge such as a cognition model of tables or lexical knowledge bases for specific domains. However, we often need to interpret table structures in each table differently and to treat lexicons in various domains to more fully utilize the broad range of tables available on the Web. The method proposed in this paper uses relations represented by structures to extract an ontology from a table. Once the interpretations of table structures are given by humans, the table structures are automatically generalized to extract relations from the whole table. We define a formal representation of generalized table structure based on the adjacency of cells and iterative structures. As the result of the comparison with a method proposed in a previous work, it was shown that our method is suited to extraction of various relations which are needed for descriptions in RDF/OWL.

Original languageEnglish
Title of host publicationProceedings - 2006 International Symposium on Applications and the Internet, SAINT 2006
Pages284-290
Number of pages7
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 International Symposium on Applications and the Internet, SAINT 2006 - Phoenix, AZ, United States
Duration: 2006 Jan 232006 Jan 27

Publication series

NameProceedings - 2006 International Symposium on Applications and the Internet, SAINT 2006
Volume2006

Conference

Conference2006 International Symposium on Applications and the Internet, SAINT 2006
Country/TerritoryUnited States
CityPhoenix, AZ
Period06/1/2306/1/27

ASJC Scopus subject areas

  • Engineering(all)

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