Abstract
Metaphor is a high-level abstract concept that can be an important part of active conceptual modeling. In this paper, we use the extended Unified Modeling Language (UML) for metaphor modeling. We discuss how to create UML diagrams to capture knowledge about metaphors. The metaphor-based processing system on the Semantic Web can support new query/search operations. Such a computer system can be used for a broad spectrum of applications such as predicting surprises (e.g., terrorist attacks) or generating automatically new innovations.
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Bemers-Lee, T., Hendler, J., Lassila, 0.: The Semantic Web. Sci. Am. 284(5), 34–43 (2001)
Booch, G., Rumbaugh, J., Jacobson, I.: The Unified Modeling Language User Guide. Addison Wesley, Reading, MA (1999)
Czejdo, B., Mappus, R., Messa, K.: The Impact of UML Diagrams on Knowledge Modeling, Discovery and Presentations. Journal of Information Technology Impact 3(1), 25–38 (2003)
Czejdo, B., Czejdo, J., Lehman, J., Messa, K.: Graphical Queries for XML Documents and Their Applications for Accessing Knowledge in UML Diagrams. In: Proceedings of the First Symposium on Databases, Data Warehousing and Knowledge Discovery, Baden Baden, Germany, pp. 69–85 (2003)
Czejdo, B., Czejdo, J., Eick, C., Messa, K., Vernace, M.: Rules in UML Class Diagrams. Opportunities of Change. In: Proceedings of the Third International Economic Congress, Sopot, Poland, pp. 289–298 (2003)
Delteil, A., Faron, C.: A Graph-Based Knowledge Representation Language. In: Proceedings of the 15th European Conference on Artificial Intelligence (ECAI), Lyon, France (2002)
Dori, D., Reinhartz-Berger, I., Sturm, A.: OPCAT—A Bimodal CASE Tool for Object-Process Based System Development. In: ICEIS 2003. Proceedings of the IEEE/ACM 5th International Conference on Enterprise Information Systems, Angers, France, pp. 286–291 (2003), http://www.ObjectProcess.org
Lehrnan, F. (ed.): Semantic Networks in Artificial Intelligence. Pergamon, Oxford, UK (1999)
Mayer, R.E.: Multimedia Learning. Cambridge University Press, New York (2002)
McTear, M.F. (ed.): Understanding Cognitive Science. Ellis Horwood, Chichester, UK (1998)
Novak, J.D., Gowin, D.B.: Learning How to Learn. Cambridge University Press, New York (1984)
Rumbaugh, J., Jacobson, I., Booch, G.: The Unified Modeling Language Reference Manual. Addison-Wesley, Reading, MA (1999)
Rumbaugh, J.: Objects in the Constitution: Enterprise Modeling. Journal of Object Oriented Programming (1993)
Schulte, R., Biguenet, J.: Theories of Translation. The University of Chicago Press, Chicago (1992)
Smith, M.K., McGuinness, D., Volz, R., Welty, C.: Web Ontology Language (OWL) Guide Version 1.0. W3CWorking Draft (2002)
Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading, MA (1984)
Sowa, I.F.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks Cole, Pacific Grove, CA (1999)
Gennari, M.A., Musen, R.W., Fergerson, W.E., Grosso, M., Crubezy, H., Eriksson, N.F., Noy, S.W.T.: The Evolution of Protégé: An Environment for Knowledge-Based Systems Development (2002)
Kalyanpur, A., Parsia, B., Sirin, E., Cuenca-Grau, B., Hendler, J.: Swoop - a web ontology editing browser, Journal of Web Semantics 4 (1) (2005)
Chen, P.P., Wong, L.Y.: A Proposed Preliminary Framework for Conceptual Modeling of Learning from Surprises. In: Arabnia, H.R., Joshua, R. (eds.) ICAI 2005. Proceedings of the 2005 International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, June 27-30, 2005, vol. 2, pp. 905–910. CSREA Press (2005)
Thalheim, B., Dusterhoft, A.: The Use of Metaphorical Structures for Internet Sites. Data and Knowledge Engineering Journal 35(2), 161–180 (2000)
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Czejdo, B.D., Biguenet, J., Biguenet, J. (2007). Metaphor Modeling on the Semantic Web. In: Chen, P.P., Wong, L.Y. (eds) Active Conceptual Modeling of Learning. ACM-L 2006. Lecture Notes in Computer Science, vol 4512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77503-4_8
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DOI: https://doi.org/10.1007/978-3-540-77503-4_8
Publisher Name: Springer, Berlin, Heidelberg
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