文章基本信息

标题：Semantic Retrieval Approach for Web Documents
本地全文：下载
作者：Hany M Harb ; Khaled M. Fouad ; Nagdy M. Nagdy 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：9
DOI：10.14569/IJACSA.2011.020912
出版社：Science and Information Society (SAI)
摘要：Because of explosive growth of resources in the internet, the information retrieval technology has become particularly important. However the current retrieval methods are essentially based on the full text matching of keywords approach lacking of semantic information and can’t understand the user's query intent very well. These methods return a large number of irrelevant information, and are unable to meet the user's request. Systems have been established so far failed to overcome fully the limitations of search based on keywords. Such systems are built from variations of classic models that represent information by keywords. Using Semantic Web is a way to increase the precision of information retrieval systems. In this paper, we propose the semantic information retrieval approach to extract the information from the web documents in certain domain (jaundice diseases) by collecting the domain relevant documents using focused crawler based on domain ontology, and using similar semantic content that is matched with a given user’s query. Semantic retrieval approach aims to discover semantically similar terms in documents and query terms using WordNet.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Semantic Web; information retrieval; Semantic Retrieval; Semantic Similarity; WordNet.