Abstract
In this paper we propose a new approach to represent entity semantics of loosely coupled systems by maintaining the topological neighborhood of context relations in a particular domain by a self organizing Kohonen map. We discuss how this technique can be applied to a distributed information system in order to find the most promising site to answer a particular query. Moreover, we show the applicability of our approach to any other system whose context can be described by certain semantical features. In general, our representation method can be seen as a kind of semantic distribution schema applicable for loosely coupled systems of various types — i.e., where systems can be information systems as well as databases or Internet-sites.
This work has been supported by the Deutsche Forschungsgemeinschaft (contract no. BE 1786/2-1).
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References
T. Kohonen: Self-organizing maps, Springer-Verlag 1997.
T. Honkela, V. Pulkki, T. Kohonen: Contextual Relations of Words in Grimm Tales, Analyzed by Self-Organizing Map, in: F. Fogelman-Soulie, P. Gallinari: Proc. of the Int'l. Conf. on Artificial Neural Networks, ICANN-95, EC2 et Cie, pp. 3–7, Paris 1995.
T. Honkela, S. Kaski, K. Lagus, T. Kohonen: Newsgroup Exploration with WEBSOM Method and Browsing Interface, Helsinki Univ. of Technology, Faculty of Information Technology, Report A32, Jan. 1996.
SOM_PAK The Self-Organizing Map Program Package, Version 3.1 (April 7 1995). ftp://cochlea.hut.fi/pub/som_pak
H. Ritter, T. Kohonen: Self-Organizing Semantic Maps, Biological Cybernetics, Vol. 61, 1989.
H. Ritter, T. Martinez, K. Schulten: Neural Computation and Self-Organizing Maps: An Introduction, Reading, MA: Addison-Wesley, 1992.
S. Haykin: Neural Networks. A Comprehensive Foundation, Macmillan College Publishing Company Inc., 1994.
T. Kohonen: Self-Organization and Associative Memory, 3rd ed., Springer-Verlag, 1989.
H.-U. Bauer, Th. Villmann: Growing a Hypercubical Output Space in a Self-Organizing Feature Map, Int'l. Computer Science Institute, Berkeley, California 1995.
B. Fritzke: Growing Cell Structures — a self-organizing neural network model (in German), PhD-Thesis, Erlangen 1992.
B. Fritzke: Unsupervised clustering with growing cell structures, Proc. IJCNN-91, Vol. II, pp. 531–536, Seattle, 1991.
B. Fritzke: Growing Grid — a self-organizing network with constant neighborhood range and adaption strength, in: Neural Processing Letters, Vol. 2, No. 5, pp. 9–13, 1995.
D. Merkl, A Min Tjoa, G. Kappel: A Self-Organizing Map that Learns the Semantic Similarity of Reusable Software Components, in: Proc. of the 5th Australian Conf. on Neural Networks (ACNN'94), pp. 13–16, Brisbane, Australia, 1994.
D. Merkl, E. Schweighofer: The Exploration of Legal Text Corpora with Hierarchical Neural Networks: A Guided Tour in Public International Law, in: Proc. of the Int'l. Conf. of Artificial Intelligence and Law (ICAIL'97), Melbourne, ACM Press, 1997.
D. Merkl: Exploration of Text Collections with Hierarchical Feature Maps, in: 20th Annual Int'l. ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR'97), Philadelphia 1997.
D. Merkl: Self-Organizing Maps and Software Reuse, in: W. Pedrycz, J.F. Peters: Computational Intelligence in Software Engineering, World Scientific, Singapore 1998.
D. Merkl: Content-Based Software Classification by Self-Organization, Proc. of the IEEE Int'l. Conf. on Neural Networks (ICNN'95), Perth, Australia, Nov. 1995.
Y. Chen, W. Benn: A Systematic Method for Query Evaluation in Federated Relational Databases, in: A. Hameurlain, A. Min Tjoa: Database and Expert Systems Applications, 8th Int'l. Conf., DEXA '97, Toulouse, France, Springer-Verlag, 1997.
Y. Chen, W. Benn: Building DD to Support Query Processing in Federated Databases, 4th Int'l Workshop on Knowledge Representation Meets Databases at the Int'l. Conf. on VLDB, Athens, Greece: IEEE, Aug. 1997.
Y. Chen, W. Benn: Rule-based technology for schema transformation, in: Proc. of 2nd Int'l, Conf. on Cooperative Information Systems, Charleston, South Carolina, USA, June 1997.
Y. Chen, W. Benn: A Systematic Method for Evaluating Queries in Federated Database Systems, Technical Report/CS-97-03, Department of Computer Science, Univ. of Technology Chemnitz, Germany, 1997.
T. J. M. Bench-Capon: Why Database AND Expert Systems Applications? In: A. Hameurlain, A Min Tjoa: Database and Expert Systems Applications, 8th Int'l. Conf., DEXA '97, Toulouse, France, Springer-Verlag, 1997.
World Wide Web Consortium: Extensible Markup Language (XML) Version 1.0. http://www.w3.org/TR/PR-xml-971208
The XML FAQ. http://www.ucc.ie/xml/
P. Maes: Agents that can reduce work and information overload, ACM Communications Vol. 73 (7), 1994.
X. Wu, T. Ichikawa: KDA: A knowledge-based database agent with a query guiding facility, IEEE Transactions on Knowledge and Data Engineering Vol. 4 (5), 1992.
M. Cottrell, E. de Bodt: A Kohonen map representation to avoid misleading interpretations, Proc. of the Europ. Symposium on Artificial Neural Networks (ESANN'96), Brugge, Belgium, 1996.
X. Lin, D. Soergel, G. Marchionini: A self-organizing semantic map for information retrieval, Proc. Int'l. Conf. on Research and Development in Information Retrieval, Chicago, IL, 1991.
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Benn, W., Görlitz, O. (1998). Semantic navigation maps for information agents. In: Klusch, M., Weiß, G. (eds) Cooperative Information Agents II Learning, Mobility and Electronic Commerce for Information Discovery on the Internet. CIA 1998. Lecture Notes in Computer Science, vol 1435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0053688
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DOI: https://doi.org/10.1007/BFb0053688
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