Personalized Semantic Based Blog Retrieval  

作　　者：Godfrey Winster Sathianesan Swamynathan Sankaranarayanan 

机构地区：[1]Department of Information Science and Technology,College of Engineering Campus,Anna University Chennai 600025,Tamil Nadu,India

出　　处：《Journal of Computer Science & Technology》2012年第3期591-598,共8页计算机科学技术学报（英文版）

摘　　要：Blog retrieval is a complex task because of the informal language usage. Blogs deviate from the language which is used in traditional corpora largely due to various reasons. Spelling errors, grammatical irregularity, over use of abbreviations and symbolic characters like emotions are a few reasons of irregular corpus blogs. To make the retrieval of blogs easier, the novel idea of personalized semantic based blog retrieval （PSBBR） system is discussed in this paper. The blogs are tagged with a relationship to one another with reference to ontology. The meanings of the blog content and key term are tagged as XML tags. The query term accesses the XML tags to retrieve entire blog content. The system is evaluated with a huge number of blogs extracted from various blog sources. Relevance score is calculated for every blog associated with keywords and content-based importance （CBI） gives the content similarity to the query word. The experimental result shows the system performs well for the blog retrieval process.Blog retrieval is a complex task because of the informal language usage. Blogs deviate from the language which is used in traditional corpora largely due to various reasons. Spelling errors, grammatical irregularity, over use of abbreviations and symbolic characters like emotions are a few reasons of irregular corpus blogs. To make the retrieval of blogs easier, the novel idea of personalized semantic based blog retrieval （PSBBR） system is discussed in this paper. The blogs are tagged with a relationship to one another with reference to ontology. The meanings of the blog content and key term are tagged as XML tags. The query term accesses the XML tags to retrieve entire blog content. The system is evaluated with a huge number of blogs extracted from various blog sources. Relevance score is calculated for every blog associated with keywords and content-based importance （CBI） gives the content similarity to the query word. The experimental result shows the system performs well for the blog retrieval process.

关 键 词：blog mining WEBLOG ontology semantic web PERSONALIZATION 

分 类 号：TP393.092[自动化与计算机技术—计算机应用技术]