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Issue title: Advances in Artificial Intelligence and Applications
Article type: Research Article
Authors: Rhee, Sang Keun | Lee, Jihye | Park, Myon-Woong | Szymczak, Michał | Fr�ckowiak, Grzegorz | Ganzha, Maria | Paprzycki, Marcin
Affiliations: Intelligence and Interaction Research Center Korea Institute of Science and Technology, Seoul, Korea. E-mail: {greyrhee,myon}@kist.re.kr | System Research Institute, Polish Academy of Sciences Warsaw, Poland. E-mail: {maria.ganzha,marcin.paprzycki}@ibspan.waw.pl
Abstract: In our work, an agent-based system supporting workers in an organization is centered around utilization of ontologically demarcated data. In this system, ontological matchmaking, understood as a way of establishing closeness between resources, is one of key functionalities. Specifi- cally, it is used to autonomously provide recommendations to the user, who is represented by her/his personal agent. These recommendations specify, which among available resources are relevant/of interest to the worker. In this paper, we discuss our approach to measuring semantic closeness between ontologically demarcated information objects, while a Duty Trip Support application is used as a case study. General description of the algorithm is followed by a recommendation example based on support for a worker who is seeking advice in planning a duty trip.
Keywords: Ontological matchmaking, semantic closeness, recommender system, resource management, resource matching
DOI: 10.3233/FI-2009-185
Journal: Fundamenta Informaticae, vol. 96, no. 4, pp. 395-418, 2009
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