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http://dx.doi.org/10.14400/JDC.2014.12.6.245

Ontology Knowledge based Information Retrieval for User Query Interpretation  

Kim, Nanju (Dept. of Computer Engineering Hannam University)
Pyo, Hyejin (Dept. of Computer Engineering Hannam University)
Jeong, Hoon (Dept. of Computer Engineering Hannam University)
Choi, Euiin (Dept. of Computer Engineering Hannam University)
Publication Information
Journal of Digital Convergence / v.12, no.6, 2014 , pp. 245-252 More about this Journal
Abstract
Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. In this paper, we describe a user query interpretation system for the semantic retrieval of multimedia contents. Our system is ontological knowledge base-driven in the sense that the interpretation process is integrated into a unified structure around a knowledge base, which is built on domain ontologies.
Keywords
Semantic Search; Ontology; Knowledge Base; Named Entity Recognition; Query Graph Construction;
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