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ABSTRACT An Instance-based Matching Method for Semantic Retrieval
BibTeX
@MISC{Whangbo_abstractan,
author = {Kijung Lee* Taegkeun Whangbo},
title = {ABSTRACT An Instance-based Matching Method for Semantic Retrieval},
year = {}
}
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Abstract
Since most information serviced in the current World Wide Web had been constructed before the advent of ontology, it is practically almost impossible to construct ontology for all those resources in the web. Most previous studies about matching between RDBMS tables and domain ontology have initially extracted a local ontology from RDBMS tables, and then conducted the matching between the local ontology and domain ontology. However in the processing of extracting a local ontology, some problems such as losing domain information can occur since the correlation of domain ontology has not been considered at all. To prevent these problems, we propose an instance-based matching which uses relational information between RDBMS tables and relational information between classes in domain ontology. To verify the efficiency of the method proposed in this paper, several experiments are conducted using the digital heritage information currently serviced in the countrywide museums. Results show that the proposed method increase retrieval accuracy in terms of user relevance and satisfaction.
Keyphrases
domain ontology local ontology rdbms table instance-based matching method semantic retrieval relational information domain information previous study countrywide museum user relevance digital heritage information instance-based matching current world wide web method increase retrieval accuracy several experiment
