Estimating similarity of the ontological concepts instances for the adaptive applications based on Semantic Web (in Slovak)

Anton Andrejko and Mária Bieliková

If a user is provided two concepts displaying information content and the user gives her evaluation (i.e. expressing an interest) we can further investigate common and different attribute of the concepts and find out useful information about the user's interests. In this paper we describe a novel method which realizes comparing of ontological concepts instances with regard to personalization of presented information or navigation in large information spaces. While estimating similarity we take into account the ontology structure, exploit variety of strategies for data type and object type attributes similarity. To fulfill the need of personalization we investigate reasons (attributes) that influenced user's interest in the content. We propose an approach to integrate a user model to achieve more accurately computed similarity for particular users.

PDF: Preprint
BIB:

@inproceedings{andrejko2008znalosti,
  Author = {Andrejko, Anton and Bielikov\'{a}, M\'{a}ria},
  Title = {Estimating similarity of the ontological concepts instances for the adaptive applications 
           based on Semantic Web (in Slovak)},
  BookTitle = {Proceedings of the 7th annual conference},
  Editor = {Sn\'{a}\v{s}el, V.},
  Address = {Bratislava, Slovak Republic},
  Publisher = {STU},
  Pages = {30-41},
  Year = {2008}
}

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