Abstract
The market of Semantic Web Services is a heterogeneous volatile environment. Ability of the enterprise to adapt to it by finding relevant and high quality resources is crucial. This paper presents an approach for personalization in a peer to peer network by continuously searching for relevant resources using a beehive like mechanism and aggregating results in a fuzzy manner. We consider diversity, scrutability and efficient traversal as key features to face difficulties of constructing a successful market. And link the results and findings of our study to the quality of electronic services, and will show how the proposed solution shall enhance the overall user satisfaction based on specified dimensions used to measure its level.
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Memari, A., Amer, M., Gómez, J.M. (2010). A Beehive-Like Multi-agent Solution to Enhance Findability of Semantic Web Services and Facilitate Personalization within a P2P Network. In: Davcev, D., Gómez, J.M. (eds) ICT Innovations 2009. ICT Innovations 2009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10781-8_24
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DOI: https://doi.org/10.1007/978-3-642-10781-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10780-1
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