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Engineering intelligent systems on the knowledge formalization continuum

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Języki publikacji
EN
Abstrakty
EN
In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization-ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use of knowledge representations within a knowledge engineering project is proposed, as well as transitions between the different representations, when required. We show that a semantic wiki is a flexible tool for engineering knowledge on the knowledge formalization continuum. Case studies are taken from one industrial and one academic project, and they illustrate the applicability and benefits of semantic wikis in combination with the knowledge formalization continuum.
Rocznik
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27--39
Opis fizyczny
Bibliogr. 34 poz., rys.
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autor
Bibliografia
  • [1] Antoniou, G. and van Harmelen, F. (2003). Web ontology language: OWL, in S. Staab and R. Studer (Eds.), Handbook on Ontologies in Information Systems, Springer-Verlag.
  • [2] Baumeister, J. and Freiberg, M. (2010). Knowledge visualization for evaluation tasks, Knowledge and Information Systems, (in press).
  • [3] Baumeister, J., Reutelshoefer, J. and Puppe, F. (2007). Markups for knowledge wikis, SAAKM'07: Proceedings of the Semantic Authoring, Annotation and Knowledge Markup Workshop, Whistler, Canada, pp. 7-14.
  • [4] Baumeister, J., Reutelshoefer, J. and Puppe, F. (2010). KnowWE: A semantic wiki for knowledge engineering, Applied Intelligence, DOI: 10.1007/s10489-010-0224-5.
  • [5] Baumeister, J., Seipel, D. and Puppe, F. (2004). Refactoring methods for knowledge bases, in E. Motta, N. Shadbolt, A. Stutt and N. Gibbins (Eds.), EKAW'04: Engineering Knowledge in the Age of the Semantic Web: 14th International Conference, Lecture Notes in Artificial Intelligence, Vol. 3257, Springer, Berlin, pp. 157-171.
  • [6] Baumeister, J., Betz, C. and Wolber, M. (2008). The knowledge modeling environment d3web.KnowME, http://d3web.sourceforge.net.
  • [7] Buffa, M., Gandon, F., Ereteo, G., Sander, P. and Faron, C. (2008). SweetWiki: A semantic wiki, Web Semantics 8(1): 84-97.
  • [8] Buitelaar, P., Cimiano, P. and Magnini, B. (2005). Ontology Learning from Text: Methods, Evaluation and Applications, Frontiers in Artificial Intelligence and Applications, Vol. 123, IOS Press, Amsterdam.
  • [9] Card, S. (2003). Information visualization, in J.A. Jacko and A. Sears (Eds.), The Human-Computer Interaction Handbook, Lawrence Erlbaum Associates, Hillsdale, NJ, pp. 544-582.
  • [10] Dale, R., Moisl, H. and Somers, H. (Eds.) (2000). A Handbook of Natural Language Processing: Techniques and Applications for the Processing of Language as Text, Marcel Dekker Inc, New York, NY.
  • [11] Feldman, R. and Sanger, J. (2006). The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data, Cambridge University Press, Cambridge.
  • [12] Fuchs, N. E., Kaljurand, K. and Kuhn, T. (2008). Attempto Controlled English for knowledge representation, in C. Baroglio, P.A. Bonatti, J.Małuszyński, M.Marchiori, A. Polleres and S. Schaffert (Eds.), Reasoning Web, Fourth International Summer School 2008, Lecture Notes in Computer Science, Vol. 5224, Springer, Berlin, pp. 104-124.
  • [13] Geroimenko, V. and Chen, C. (Eds.) (2006). Visualizing the Semantic Web, 2nd Edn., Springer, Berlin.
  • [14] Ghidini, C., Kump, B., Lindstaedt, S.N., Mahbub, N., Pammer, V., Rospocher, M. and Serafini, L. (2009). MoKi: The enterprise modelling wiki, in L. Aroyo, P. Traverso, F. Ciravegna, P. Cimiano, T. Heath, E. Hyvnen, R. Mizoguchi, E. Oren, M. Sabou and E. Paslaru Bontas Simperl (Eds.), ESWC'09: The Semantic Web: Research and Applications, Lecture Notes in Computer Science, Vol. 5554, Springer, Berlin, pp. 831-835.
  • [15] Gil, Y. and Tallis, M. (1997). A script-based approach to modifying knowledge bases, AAAI/IAAI'97: Proceedings of the 14th National Conference on Artificial Intelligence and the 9th Innovative Applications of Artificial Intelligence Conference, Menlo Park, CA, USA, pp. 377-383.
  • [16] Gruber, T. (2008). Collective knowledge systems: Where the Social Web meets the Semantic Web, Web Semantics 6(1): 4-13.
  • [17] Krötzsch, M., Vrandecić, D. and Völkel, M. (2006). Semantic MediaWiki, in I. Cruz, D. Allemang, L. Aroyo, S. Decker, P. Mika, C. Preist, D. Schwabe and M. Uschold (Eds.), ISWC'06: Proceedings of the 5th International Semantic Web Conference, Lecture Notes in Artifical Intelligence, Vol. 4273, Springer, Berlin, pp. 935-942.
  • [18] Lidwell, W., Holden, K. and Butler, J. (2003). Universal Principles of Design, Rockport Publishers, Minnespolis, MN.
  • [19] McGuinness, D. L. (2003). Ontologies come of age, in D. Fensel, J. A. Hendler, H. Lieberman and W. Wahlster (Eds.), Spinning the Semantic Web, MIT Press, Cambridge, MA, pp. 171-194.
  • [20] Millard, D. E., Gibbins, N. M., Michaelides, D. T. and Weal, M. J. (2005). Mind the semantic gap, HYPERTEXT '05: Proceedings of the 16th ACM Conference on Hypertext and Hypermedia, Salzburg, Austria, pp. 54-62.
  • [21] Nalepa, G. J. (2009). PIWiki-A generic semantic wiki architecture, in N. T. Nguyen, R. Kowalczyk and S.-M. Chen (Eds.), ICCCI'09: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems, Lecture Notes in Computer Science, Vol. 5796, Springer, Berlin, pp. 345-356.
  • [22] Oxford English Dictionary of Current English (2008). 3rd Edn., Oxford University Press, Oxford.
  • [23] Peng, Y. and Reggia, J. A. (1990). Abductive Inference Models for Diagnostic Problem-Solving, Springer, Berlin.
  • [24] Reiter, E. and Dale, R. (2000). Building Natural Language Generation Systems, Cambridge University Press, Cambridge.
  • [25] Reutelshoefer, J., Baumeister, J. and Puppe, F. (2009). A data structure for the refactoring of multimodal knowledge, KESE'09: 5th Workshop on Knowledge Engineering and Software Engineering, Paderborn, Germany, pp. 33-45.
  • [26] Reutelshoefer, J., Lemmerich, F., Baumeister, J., Wintjes, J. and Haas, L. (2010). Taking OWL to Athens-Semantic Web technology takes ancient Greek history to students, in L. Aroyo, G. Antoniou, E. Hyvnen, A. ten Teije, H. Stuckenschmidt, L. Cabral and T. Tudorache (Eds.), ESWC'10: Proceedings of the 7th Extended Semantic Web Conference, Lecture Notes in Computer Science, Vol. 6088, Springer, pp. 333-347.
  • [27] Reutelshoefer, J., Lemmerich, F., Haupt, F. and Baumeister, J. (2009). An extensible semantic wiki architecture, SemWiki'09: 4th Workshop on Semantic Wikis-The Semantic Wiki Web, Hersonissos, Greece, pp. 155-169.
  • [28] Roth-Berghofer, T. R. (2004). Explanations and case-based reasoning: Foundational issues, in P. Funk and P. A. Gonzlez-Calero (Eds.), Advances in Case-Based Reasoning, Lecture Notes in Computer Science, Vol. 3155, Springer-Verlag, Berlin, pp. 389-403.
  • [29] Schaffert, S. (2006). IkeWiki: A semantic wiki for collaborative knowledge management, STICA'06: 1st International Workshop on Semantic Technologies in Collaborative Applications, Manchester, UK.
  • [30] Schaffert, S., Bry, F., Baumeister, J. and Kiesel, M. (2008). Semantic wikis, IEEE Software 25(4): 8-11.
  • [31] Schaffert, S., Gruber, A. and Westenthaler, R. (2006). A semantic wiki for collaborative knowledge formation, Proceedings of the SEMANTICS 2005 Conference, Vienna, Austria.
  • [32] Schreiber, G., Akkermans, H., Anjewierden, A., de Hoog, R., Shadbolt, N., de Velde, W. V. and Wielinga, B. (2001). Knowledge Engineering and Management-The CommonKADS Methodology, 2nd Edn., MIT Press, Cambridge, MA.
  • [33] Uschold, M. and Gruninger, M. (2004). Ontologies and semantics for seamless connectivity, SIGMOD Record 33(4): 58-64.
  • [34] Zacharias, V. (2007). Visualization of rule bases-The overall structure, I-KNOW '07: Proceedings of the International Conference on Knowledge Management, Graz, Austria.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0066-0002
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