期刊
PERVASIVE AND MOBILE COMPUTING
卷 38, 期 -, 页码 14-40出版社
ELSEVIER
DOI: 10.1016/j.pmcj.2016.08.002
关键词
Rules; Semantic web; Location based services; Context; Group-targeted offers
In this paper, a novel geosocial networking service called G-SPLIS (Geosocial Semantic Personalized Location Information System) is presented. The paper provides a methodology to design, implement and share in a formal way human daily preferences regarding points of interest (POIs) and POI owners' group targeted offering policies, via user-defined preferences and policy rules. By adding rules at run time users have more flexibility and they do not rely on the pre-determined application's methods to get personalized information. Furthermore, G-SPLIS provides a large knowledge base for other systems in the web, because rules are easily sharable. To achieve the above, the presented system is compatible with Semantic Web standards such as the schema.org ontology and uses RuleML for rules that define regular users' preferences and POI owner's group-targeted offers. Finally, it combines at run-time the above to match user context with related information and visualizes personalized information. (C) 2016 Elsevier B.V. All rights reserved.
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