Movie Related Information Retrieval Using Ontology Based Semantic Search

被引:0
|
作者
Suganyakala, R. [1 ]
Rajalaxmi, R. R. [1 ]
机构
[1] Kongu Engn Coll, Dept CSE, Perundurai, Tamil Nadu, India
来源
2013 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES) | 2013年
关键词
semantic web; semantic search; ontology; document annotation; SPARQL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Semantic search has become a grand vision for improving retrieval effectiveness in today's scenario. Most of the existing ontology based semantic search models requires user to enter a query in formal query languages. It hinders the usability of the retrieval system. Aiming to solve the above limitations and improve the retrieval effectiveness, a framework for ontology based information retrieval is proposed. In order to overcome the usability limitations, a query interface which requires the user to enter the query in natural language is provided. A domain-specific ontology based on movies is used to develop a prototype of the proposed model which improves search accuracy.
引用
收藏
页码:421 / 424
页数:4
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