文章基本信息

标题：A Survey:-Optimize Visual Image Search for Semantic web
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作者：Jaimin Shroff ; Parth D. Shah ; Bhaumik Nagar 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：2
页码：3668-3671
出版社：TechScience Publications
摘要：In today’s web image search engines find more irrelevancies in the search result. By adding semantic meaning to the document this relevancy can be eliminated. SIEVE image search algorithm combine the text based and content based method and shows the result. Also “IN-Picture” search algorithm mixing the images higher level and lower level contents. In this paper it shows some image searching framework like “SAFE” describe how image are searched using its attributes. Also describes some sematic web technology, which helps in image search and shows how detailed indexing system can use SPRQL query and ontology of an image to build semantic web based framework.
关键词：RDF; SIEVE; Semantic; SPRQL; Ontology; OWL; imag