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Measuring Semantic Closeness of Ontologically Demarcated Resources

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EN
Abstrakty
EN
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. Specifically, 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.
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Rocznik
Strony
395--418
Opis fizyczny
Bibliogr. 27 poz.
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autor
autor
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autor
  • IBS PAN, ul. Newelska 6, 01-447 Warsaw, Poland. Also works: Instytut of Informatics, University of Gdańsk, Gdańsk, Poland, maria.ganzha@ibspan.waw.pl
Bibliografia
  • [1] OWL Web Ontology Language Guide, http://www.w3.org/TR/2004/REC-owl-guide-20040210/#OwlVarieties.
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  • [5] Badica, C., Popescu, E., Frackowiak,G., Ganzha, M., Paprzycki, M., Szymczak, M., Park, M.-W.: On Human Resource Adaptability in an Agent-Based Virtual Organization, New Challenges in Applied Intelligence Technologies (R. K. N.T. Nguyen, Ed.), 134, Springer, Heidelberg, Germany, 2008.
  • [6] Brin, S., Page, L.: The Anatomy of a Large-Scale HypertextualWeb Search Engine, Proceedings of the 7th WWW Conference, Brisbane, Australia, 1998.
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  • [8] Dumais, S., Furnas, G., Landauer, T., Deerwester, S., Harshman, K.: Using latent semantic analysis to improve access to textual information, Proceedings of the CHI'88 Conference, ACM Press, 1988.
  • [9] Euzenat, J., Shvaiko, P.: Ontology Matching, Studies in Computational Intelligence, Springer, Heidelberg, Germany, 2007.
  • [10] Frackowiak, G., Ganzha, M., Gawinecki, M., Paprzycki, M., Szymczak, M., Park, M.-W., Han, Y.-S.: Considering Resource Management in Agent-Based Virtual Organization, Studies in Computational Intelligence, Springer, Heidelberg, Germany, 2008, In press.
  • [11] Frackowiak, G., Ganzha, M., Gawinecki, M., Paprzycki, M., Szymczak, M., Park, M.-W., Han, Y.-S.: On resource profiling and matching in an agent-based virtual organization, Proceedings of the ICAISC'2008 conference, LNCS, Springer, 2008.
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  • [13] Ganzha, M., Paprzycki, M., Gawinecki, M., Szymczak, M., Frackowiak, G., Badica, C., Popescu, E., Park, M.-W.: Adaptive Information Provisioning in an Agent-Based Virtual Organization-Preliminary Considerations, Proceedings of the SYNASC Conference (N. Nguyen, Ed.), 4953, IEEE Press, Los Alamitos, CA, 2007.
  • [14] H. Cho, T. I., Inaba, R., Takasaki, T., Mori, Y.: Pictogram Retrieval Based on Collective Semantics, Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 4552, Springer, Springer Berlin / Heidelberg, 2007.
  • [15] Java, A., Kolari, P., Finin, T., Oates, T.: Modeling the Spread of Influence on the Blogosphere, Technical report, March 2006.
  • [16] Jiang, J., Conrath, D.: Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy, Proceedings of the International Conference on Research on Computational Linguistics, Taiwan, 1997.
  • [17] Korfhage, R.: Information Storage And Retrieval, JohnWiley & Sons, New-York, 1997.
  • [18] Leacock, C., Chodorow, M.: Combining Local Context and WordNet Similarity for Word Sense Identification, An Electronic Lexical Database, 1998, 265-283.
  • [19] Lin, D.: An Information-Theoretic Definition of Similarity, 15th International Conference on Machine Learning, Morgan Kaufmann Inc., San Francisco, CA.
  • [20] Pinto, H. S., Martins, J. P.: Ontology Integration: How to perform the Process, Proceedings of the IJCAI-01: Workshop on Ontologies and Information Sharing, Seattle, Washington, USA, 2001.
  • [21] Resnic, P.: Using Information Content to Evaluate Semantic Similarity in a Texonomy, International Joint Conferences on Artificial Intelligence, 1995.
  • [22] Rhee, S. K., Lee, J., Park, M.-W.: Ontology-based Semantic Relevance Measure, Proceedings of the SWW 2.0 (ISWC), 294, CEUR-WS, 2007.
  • [23] Rhee, S. K., Lee, J., Park, M.-W.: RIKI: A Wiki-based Knowledge Sharing System for Collaborative Research Projects, Proceedings of the APCHI 2008 Conference, LNCS, Springer, 2008.
  • [24] Rhee, S. K., Lee, J., Park, M.-W.: Semantic Relevance Measure between Resources based on a Graph Structure, Proceedings of the IMCSIT'08 Conference, IEEE, 2008.
  • [25] Salton, G., Wong, A., Yang, C. S.: A Vector Space Model for Automatic Indexing, Commun. ACM, 18(11), 1975, 613-620, ISSN 0001-0782.
  • [26] Szymczak,M., Frackowiak, G., Ganzha, M., Paprzycki, M., Rhee, S. K., Lee, J., Sohn, Y. T., Kim, J. K., Han, Y.-S., Park,M.-W.: Ontological Matchmaking in an Duty Trip Support Application in a Virtual Organization, Proceedings of the IMCSIT'08 Conference, IEEE, 2008.
  • [27] Szymczak, M., Frackowiak, G., Ganzha, M., Paprzycki, M., Rhee, S. K., Park, M.-W., Han, Y.-S., Sohn, Y. T., Lee, J., Kim, J. K.: Infrastructure for Ontological Resource Matching in a Virtual Organization, Proceedings of the IDC Conference (N. Nguyen, R. Katarzyniak, Eds.), 134, Springer, Heidelberg, Germany, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS8-0008-0057
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