@misc{cogprints7040,
          volume = {21},
           month = {September},
          author = {Markus  Schatten and Vijayalakshmi Kakulapati and Mirko  Cubrilo},
            note = {social semantic web, intelligent agent, reasoning, frame logic, string similarity metric},
          editor = {Boris Aurer and Miroslav Ba{\vc}a and Markus Schatten},
           title = {Reasoning about Social Semantic Web Applications using String Similarity and Frame Logic},
       publisher = {Faculty of Organization and Informatics},
            year = {2010},
         journal = {Proceedings of the Central European Conference on Information and Intelligent Systems},
           pages = {25--32},
             url = {http://cogprints.org/7040/},
        abstract = {Social semantic Web or Web 3.0 application gained major attention from academia and industry in recent times. Such applications try to take advantage of user supplied meta data, using ideas from the semantic Web initiative, in order to provide better services. An open problem is the formalization of such meta data, due to its complex and often inconsistent nature. A possible solution to inconsistencies are string similarity metrics which are explained and analyzed. A study of performance and applicability in a frame logic environment is conducted on the case of agent reasoning about multiple domains in TaOPis - a social semantic Web application for self-organizing communities. Results show that the NYSIIS metric yields surprisingly good results on Croatian words and phrases.}
}

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