Towards efficient sport data integration through semantic annotation

Quang Minh Nguyen, Tuan Dung Cao, Hoang Cong Nguyen, Tatsuya Hagino

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

6 Citations (Scopus)

Abstract

In news genre, the sport domain is one of great interest to audiences on many occasions. The explosion of Internet these days leads to many obstacles for users in searching information due to enormous amount of data collected from multiple media streams. In this case, Semantic Web is believed to bring a solution for information integration. In this paper, we introduce a novel approach for an integration system of sports information using semantic web. Semantic annotation of sport news on the web is a way to bring success to our system. We propose an algorithm to generate semantic annotations of sport news that relies on the ontology. Named entities recognition is improved by integrating the KIM information extraction system with this ontology, which is dedicated for sport domain. The concepts and relations of ontology detected in the text are combined with these entities to capture the semantic. Initial experiments on soccer news demonstrated promising results.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Knowledge and Systems Engineering, KSE 2012
Pages99-106
Number of pages8
DOIs
Publication statusPublished - 2012
Event4th International Conference on Knowledge and Systems Engineering, KSE 2012 - Danang, Viet Nam
Duration: 2012 Aug 172012 Aug 19

Publication series

NameProceedings - 4th International Conference on Knowledge and Systems Engineering, KSE 2012

Other

Other4th International Conference on Knowledge and Systems Engineering, KSE 2012
Country/TerritoryViet Nam
CityDanang
Period12/8/1712/8/19

Keywords

  • Information integration
  • Ontology
  • semantic annotation generation
  • semantic web

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human Factors and Ergonomics

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