An Ontology-Based Retrieval System Using Semantic Indexing

被引:3
|
作者
Kara, Soner [1 ]
Alan, Ozgur [1 ]
Sabuncu, Orkunt [1 ]
Akpinar, Samet [2 ]
Cicekli, Nihan K. [2 ]
Alpaslan, Ferda N. [2 ]
机构
[1] Orbim Corp, METU Technopolis, Ankara, Turkey
[2] METU, Dept Comp Engn, Ankara, Turkey
关键词
MODEL;
D O I
10.1109/ICDEW.2010.5452700
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. We implement the system using the state-of-the-art technologies in Semantic Web and evaluate the performance against traditional systems. Further detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference.
引用
收藏
页码:197 / 202
页数:6
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