A method for the generation of semantic annotation from sport news using ontology based patterns

Quang Minh Nguyen, Tuan Dung Cao, Thanh Hien Phan, Hoang Cong Nguyen, Tatsuya Hagino

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

Abstract

In the framework of this research, we focus on describing the algorithm to collect, process information in natural language to turn it into semantic annotations based on ontology, patterns and the knowledge ground in sport. This paper will concentrate to solve the problem of enhancing the named entities recognition by developing ontology and enriching the knowledge base for the recognition engine. Besides this, it is at the same time solving the problem of semantic recognition in texts using ontology-based patterns, harnessing the power of ontology in identifying synonyms, aliases.

Original languageEnglish
Title of host publicationAdvanced Methods and Technologies for Agent and Multi-Agent Systems
EditorsDariusz Barbucha, Le Manh Thanh, Robert Howlett, Lakhmi Jain
Pages364-374
Number of pages11
DOIs
Publication statusPublished - 2013 Dec 1

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume252
ISSN (Print)0922-6389

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Keywords

  • Information extraction
  • Semantic Annotation
  • Semantic web
  • Sport ontology

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Nguyen, Q. M., Cao, T. D., Phan, T. H., Nguyen, H. C., & Hagino, T. (2013). A method for the generation of semantic annotation from sport news using ontology based patterns. In D. Barbucha, L. Manh Thanh, R. Howlett, & L. Jain (Eds.), Advanced Methods and Technologies for Agent and Multi-Agent Systems (pp. 364-374). (Frontiers in Artificial Intelligence and Applications; Vol. 252). https://doi.org/10.3233/978-1-61499-254-7-364