article

Ontology-based blog collection and profile-based personalised ranking

Authors:

Godfrey Winster Sathianesan,

S. SwamynathanAuthors Info & Claims

International Journal of Computer Applications in Technology, Volume 49, Issue 1

Pages 69 - 79

https://doi.org/10.1504/IJCAT.2014.059122

Published: 01 February 2014 Publication History

Abstract

Blogging plays a major role in today's social networking. Large numbers of blogs are available in the web. This becomes a tedious task for the user and the blogger, to search for a technical blog from a list of randomly appearing blogs. Thus a method is required to rank the blogs for the user, according to the relevance of the query. The existing works focus either on the behaviour of the blogger or the linking of one blog with another blog. This paper introduces a novel method of ranking blogs based on the relevance of the content to the query. The semantics of the query is analysed to rank the blogs. The proposed method also uses concept-based profiling, to enable the user to retrieve personalised content for the query. The experimental analysis shows that the proposed personalised semantic blog ranking PSBR is efficient in ranking the technical blogs for the user.

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Cited By

Shi MZhu WYang HLi C(2016)Applying semantic web and big data techniques to construct a balance model referring to stakeholders of tourism intangible cultural heritageInternational Journal of Computer Applications in Technology10.1504/IJCAT.2016.07987354:3(192-200)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJCAT.2016.079873

Index Terms

Ontology-based blog collection and profile-based personalised ranking
1. Information systems
  1. Information retrieval

Index terms have been assigned to the content through auto-classification.

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cover image International Journal of Computer Applications in Technology

International Journal of Computer Applications in Technology Volume 49, Issue 1

February 2014

88 pages

ISSN:0952-8091

EISSN:1741-5047

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Inderscience Publishers

Geneva 15, Switzerland

Publication History

Published: 01 February 2014

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Cited By

Shi MZhu WYang HLi C(2016)Applying semantic web and big data techniques to construct a balance model referring to stakeholders of tourism intangible cultural heritageInternational Journal of Computer Applications in Technology10.1504/IJCAT.2016.07987354:3(192-200)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJCAT.2016.079873

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