文章基本信息

标题：Web-based Semantic and Personalized Information Retrieval
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作者：Khaled M. Fouad ; Ahmed R. Khalifa ; Nagdy M. Nagdy 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：Effective retrieval of the most relevant documents on the topic of interest from the Web is difficult due to the large amount of information in all types of formats. Studies have been conducted on ways to improve the efficiency of information retrieval (IR) systems. To arrive to suitable solutions in IR systems, machines need additional semantic information that helps in understanding Web documents. In this paper, the definition of semantic IR model is investigated, oriented to the exploitation of domain ontology and WordNet to support semantic IR capabilities in Web documents, stressing on the use of ontologies in the semantic-based perspective. The system that uses Semantic Web and agent to support more expressive queries and more accurate results is proposed. The examination of the proposed system is performed by an experiment that is based on relevance based evaluation, and user satisfaction based evaluation. The results of the experiment shows that the proposed system, which is based on Semantic Web and agent, can improve the accuracy and effectiveness for retrieving relevant Web documents in specific domain.
关键词：Semantic Web; Ontology; Semantic Information Retrieval; Personalized Retrieval