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Personalized web feeds based on ontology technologies

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Abstract

The rapid development of the social Web has resulted in diverse Web 2.0 applications for accessing various Web feeds such as Weblogs, news headlines, business products, real time information and Podcasts. Due to the masses of Web feeds available on the Internet, a major challenge is how to access them efficiently. Conventional methods of manually finding and matching keyword for Web feeds are time-consuming and inaccurate. This study addresses this issue by defining a Personalized Web Feeds Framework (PWFF) for integrating ontology technologies into Web feeds and user profiles. The proposed PWFF is used to develop an Ontology-based Personalized Web Feed Platform (OPWFP) that provides customized Web feeds for personnel needs. To demonstrate the feasibility of OPWFP, the experimental results illustrate the efficiency and effectiveness of the proposed approach.

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Notes

  1. http://www.w3.org/2006/09/20-ccpp-schema

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Formosa University, 64, Wenhua Rd., Huwei Township, Yunlin County, 632, Taiwan

    I-Ching Hsu

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  1. I-Ching Hsu
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Hsu, IC. Personalized web feeds based on ontology technologies. Inf Syst Front 15, 465–479 (2013). https://doi.org/10.1007/s10796-011-9337-6

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