文章基本信息

标题：Cross Language Information Retrieval Model for Discovering WSDL Documents Using Arabic Language Query
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作者：Prof. Dr. Torkey I.Sultan ; Dr. Ayman E. Khedr ; Fahad Kamal Alsheref 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：2013
卷号：4
期号：8
DOI：10.14569/IJACSA.2013.040817
出版社：Science and Information Society (SAI)
摘要：Web service discovery is the process of finding a suitable Web service for a given user’s query through analyzing the web service‘s WSDL content and finding the best match for the user’s query. The service query should be written in the same language of the WSDL, for example English. Cross Language Information Retrieval techniques does not exist in the web service discovery process. The absence of CLIR methods limits the search language to the English language keywords only, which raises the following question “How do people that do not know the English Language find a web service, This paper proposes the application of CLIR techniques and IR methods to support Bilingual Web service discovery process the second language that proposed here is Arabic. Text mining techniques were applied on WSDL content and user’s query to be ready for CLIR methods. The proposed model was tested on a curated catalogue of Life Science Web Services http://www.biocatalogue.org/ and used for solving the research problem with 99.87 % accuracy and 95.06 precision
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Web services discovery; Cross Language Information Retrieval; WSDL; Text Mining