User Model Ontology in Personalized Search Application for Social Web
Keywords:Ontology, Personalization, User model, Social network, Context, Handicraft domain, Profile
Personalized search systems and precisely ontology-based ones are increasing nowadays in order to offer personalized search results to users according to their contexts and profiles. In fact, when ontologies are used in these systems, they permit to model knowledge in an understandable manner by human and machine. Social web and especially social network sites permit to people to connect and search for information and for persons. In order to model concepts for the social network, we use concepts from the FOAF ontology. In this paper, we create an ontology for user model in social web and handicraft domain. Then, we integrate it in our personalized search application. We enrich our ontology with SWRL rules and concepts from FOAF ontology. SWRL rules have the power to infer explicit knowledge from implicit one. We apply rules in order to classify handicraft women and to give recommendation according to context and profile of handicraft woman. We give main modules related to our prototype with evaluation and discussion.
Brickley D. and Miller L. FOAF Vocabulary Specification Namespace Document 14 January 2014 - Paddington Edition, retrieved from http://xmlns.com/foaf/spec/.
GrÃ¼ninger M. and Fox M.S., â€œMethodology for the design and evaluation of ontologiesâ€. In Skuce D (ed) IJCAIâ€™95 Workshop on Basic Ontological Issues in Knowledge Sharing, Pages 6.1â€“6.10, 1995.
Heckmann D., Schwartz T., Brandherm B., Schmitz M.and von Wilamowitz-Moellendorff M., GUMO â€“ the General User Model Ontology. In: Ardissono, L., Brna, P., MitroviÄ‡, A. (eds.) UM 2005. LNCS (LNAI), Volume 3538, Pages 428â€“432, 2005.
Maalej, M., Mtibaa, A., and Gargouri, F., â€œOntology-based user modeling for handicraft woman recommendationâ€. In 4th Interna-tional Conference on Model & Data Engineering (MEDIâ€™2014) Lecture Notes in Computer Science Volume 8748, Pages 138-145, 2014.
Maalej, M., Mtibaa, A., and Gargouri, F., â€œEnriching user model ontology for handicraft domain by FOAFâ€. In 14th IEEE/ACIS International Conference on Computer and Information Science (ICIS), IEEE, Las Vegas, NV, 2015, Pages 651-655, 2015.
Maalej, M., Mtibaa, A., and Gargouri, F., â€œContext Similarity Measure for Knowledge-based Recommendation System Case Study: Handicraft Domainâ€. In The 14th International Conference on Cooperative Design, Visualization and Engineering, Pages 77-84, Mallorca, Spain September 17-20, 2017
Rekik E., Maalej M., Mtibaa A., and Gargouri F., â€œOntology-based approach to provide personalized search results for handicraft womanâ€. In 15th International Conference on Intelligent Systems Design and Applications (ISDA) IEEE, Pages 604-609, 2015.
Stan J., Egyed-Zsigmond E., Maret P. and Daigremont J., â€œPersonalization in Mobile and Pervasive Computingâ€. In User Modeling, Adaptation, and Personalization conference (UMAP) Workshop on Personalization in Mobile and Pervasive Computing., Italy (2009) Retrieved from https://hal-ujm.archives-ouvertes.fr/ujm-00380537
Alimam M. A., Elyusufi Y. and Seghiouer H., â€œToward Automatic User Profiling for Personalized Access to Information within Collaborative Learning Systemâ€, Pages 485-492, ToKnowPress, 2014.
Cantador I., FernÃ¡ndez M., Vallet D., Castells P., Picault J. and RibiÃ¨re M., â€œA Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrievalâ€. In Studies in Computational Intelligence, Springer Berlin/Heidelberg, Volume 93/2008, Advances in Semantic Media Adaptation and Personalization, Pages 25-51, 2008.
Gauch S., Chaffee J. and Pretschner A., â€œOntology-based personalized search and browsingâ€. Journal of Web Intelligence and Agent Systems. Volume 1, Issue 3-4, Pages 219-234. IOS Press Amsterdam, the Netherlands 2003.
Guha R., McCool R. and Miller E., â€œSemantic searchâ€. In Proceedings of the 12th international conference on World Wide Web (WWW '03), Pages 700-709, 2003.
Gulzar Z. and Leema A. A., â€œAn ontology based approach for exploring knowledge in networking domainâ€. In International Con-ference on Inventive Computation Technologies (ICICT), Pages 1-6, 2016.
Helmy T., Al-Nazer A., Al-Bukhitan S. and Iqbal A., â€œHealth, Food and User's Profile Ontologies for Personalized Information Retrievalâ€. ANT/SEIT, Procedia Computer Science, Volume 52, Pages. 1071-1076, 2015.
Hopfgartner F. and Jose J. M., â€œAn experimental evaluation of ontology-based user profilesâ€. Journal of Multimedia Tools and Applications, Volume 73(NÂ°2), Pages 1029-1051, 2014.
Sieg A., Mobasher B. and Burke R., â€œOntological User Profiles for Representing Context in Web Searchâ€. In Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops (WI-IATW '07). IEEE Computer Society, Washington, DC, USA, Pages 91-94, 2007.
Zidi A., Bouhana A., Abed M. and Fekih A., â€œAn ontology-based personalized retrieval model using case based reasoningâ€. In Procedia Computer Science, Volume 35, 2014, Pages 213-222, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2014.08.101.
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