Discovering knowledge from conference web pages

Yue You, Peng Wang, Xiang Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes an approach to discover knowledge from conference web pages and organize such knowledge as ontologies. Firstly, conference web pages are segmented into blocks by analyzing visual features and the DOM structure. Then we use Bayes Network to classify the blocks into predefined categories. Finally, ontologies are generated from the classified text blocks. The experimental results on real-world datasets show that the proposed method is effective and efficient for discovering ontology concepts and hierarchies from conference web pages.

Original languageEnglish
Title of host publicationProceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
Pages173-178
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 - Chung-Li, Taiwan, Province of China
Duration: 11 Nov 201113 Nov 2011

Publication series

NameProceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011

Conference

Conference16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
Country/TerritoryTaiwan, Province of China
CityChung-Li
Period11/11/1113/11/11

Keywords

  • Knowledge discovery
  • Ontology
  • Visual feature

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