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Title: Using Rules to Develop a Personalized and Social Location Information System for the Semantic Web
Author(s): I. Viktoratos, A. Tsadiras, N. Bassiliades.
Availability: Click here to download the PDF (Acrobat Reader) file (15 pages).
Keywords: Semantic Web, Ontologies, Rules, Context, Location Based Services, Points of Interest, Preferences, Group-Targeted Offers.
Appeared in: Proc. 8th International Web Rule Symposium (RuleML 2014), co-located with the 21st European Conference on Artificial Intelligence (ECAI 2014), A. Bikakis et al. (Ed.), Springer, LNCS 8620, pp. 82-96, Prague, Czech Republic, August 18-20, 2014, 2014.
Abstract: In this work, the design and implementation of an innovative context-aware location based social networking service is presented. The proposed system, called Geosocial SPLIS, utilizes Semantic Web technologies to deliver personalized information to the end user. It addresses some drawbacks of knowledge-based personalization systems and aims to provide a collaborative knowledge creation platform for other systems. To achieve this, it a) collects data from external sources such as Google Places API and Google+ b) adopts the schema.org ontology to represent people and places profiles, c) provides a web editor for adding rules (modeling user preferences and group-targeted place offers) at run time, d) uses RuleML and Jess rules to represent these rules, e) combines at run-time the above to match user context with up to date information, presented on Google Maps and f) matches users preferences with those of his/her nearby friends to present POIs that are suitable to all of them. All data and rules are stored in the Sesame RDF triple store in order to be shared among various systems.
See also : GeoSPLIS


        This paper has been cited by the following:

1 Sergio Ilarri, Dragan Stojanovic, Cyril Ray, Semantic management of moving objects: A vision towards smart mobility, Expert Systems with Applications, 42 (3) pp. 1418 - 1435, 2015, http://dx.doi.org/10.1016/j.eswa.2014.08.057.


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