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Personalized Semantic Based Blog Retrieval

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Abstract

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.

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Authors and Affiliations

  1. Department of Information Science and Technology, College of Engineering Campus, Anna University, Chennai, 600 025, Tamil Nadu, India

    Godfrey Winster Sathianesan & Swamynathan Sankaranarayanan

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  1. Godfrey Winster Sathianesan
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  2. Swamynathan Sankaranarayanan
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Correspondence to Godfrey Winster Sathianesan.

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Sathianesan, G.W., Sankaranarayanan, S. Personalized Semantic Based Blog Retrieval. J. Comput. Sci. Technol. 27, 591–598 (2012). https://doi.org/10.1007/s11390-012-1246-8

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  • DOI: https://doi.org/10.1007/s11390-012-1246-8

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