Authors:
Naychi Lai Lai Thein
;
Khin Haymar Saw Hla
and
Ni Lar Thein
Affiliation:
University of Computer Studies, Myanmar
Keyword(s):
Semantic Web, Shared Ontology, Information Extraction, Shared Terminology, Web Ontology Language, Source Ontology, Local Ontology, Semantic Mapping.
Related
Ontology
Subjects/Areas/Topics:
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Organisational Issues on Systems Integration
;
Web Databases
Abstract:
The Semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. One of the basic problems in the development of Semantic Web is information integration. Indeed, the web is composed of a variety of information sources, and in order to integrate information from such sources, their semantic integration and reconciliation is required. Also, web pages are formatted with HTML which is only a human readable format and the agents cannot understand their meaning. In this paper, we present an approach to extract information from unstructured documents (e.g. HTML) and are converted to standard format (XML) by using source ontology. Then, we translate XML output to local ontology. This paper also describes a key technology for mapping between ontologies to compute similarity measures to express complex relationships among concepts. In order to address this problem, we apply machine learning appr
oach for semantic interoperability in the real, commercial and governmental world.
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