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Ontology Self-Learning and Service Recommendation in Smart Environment

by Jun Qi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 9
Year of Publication: 2014
Authors: Jun Qi
10.5120/15909-5082

Jun Qi . Ontology Self-Learning and Service Recommendation in Smart Environment. International Journal of Computer Applications. 91, 9 ( April 2014), 15-19. DOI=10.5120/15909-5082

@article{ 10.5120/15909-5082,
author = { Jun Qi },
title = { Ontology Self-Learning and Service Recommendation in Smart Environment },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 9 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number9/15909-5082/ },
doi = { 10.5120/15909-5082 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:19.004619+05:30
%A Jun Qi
%T Ontology Self-Learning and Service Recommendation in Smart Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 9
%P 15-19
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to be able to provide users with personalized service, the paper analyses the characteristics and attributes of the user, and set up the user personalized ontology model via context in smart environment. Meanwhile, a Bayesian probability algorithm is designed that can automatically adjust according to user's preferences change. Combining with user activity, the user ontology model provides the user with a real-time active service model in the purpose of meeting user's demands, and presents the implementation pseudo code, which shows the usability of user model and algorithm.

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Index Terms

Computer Science
Information Sciences

Keywords

Ontology self-learning service recommendation smart environment

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