- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
Heterogeneous Web Information Integration System based on Entity Identification
Heterogeneous Web Information Integration System based on Entity Identification
Yang, Hyung-Jeong (Department of Computer Science, Chonnam National University)
Kim, Soo-Hyung (Department of Computer Science, Chonnam National University)
Lee, Guee-Sang (Department of Computer Science, Chonnam National University)
Kim, Kyoung-Yun (Department of Industrial and Manufacturing Engineering, Wayne State University)
Kim, Sun-Hee (Department of Computer Science, Carnegie Mellon University)
Ngoc, Do Luu (Department of Computer Science, Chonnam National University)
Abstract
It is not easy for users to effectively have information that is semantically related but scattered on the Web. To obtain qualitatively improved information in web pages, it is necessary to integrate information that is heterogeneous but semantically related. In this study, we propose a method that provides XML-based metadata to users through integration of multiple heterogeneous Web pages. The metadata generated from the proposed system is obtained by integrating different heterogeneous information into a single page, using entity identification based on ontology. A wheelchair information integration system for disabled people is implemented to verify the efficiency of the proposed method. The implemented system provides an integrated web page from multiple web pages as a type of XML document.
- keywords
- Semantic Web, Ontology, OWL, Integrating Information, Meta Data
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