Abstract
DOGMA-MESS (Meaning Evolution Support System) is a system and methodology for supporting scalable, community-grounded ontology engineering. It uses a socio-technical process of meaning negotiation to tackle the scalability problems in ontology engineering. In order to improve the effectiveness of DOGMA-MESS, we adopt the idea of Semantic Decision Table (SDT). An SDT contains semantically rich decision rules that guide DOGMA-MESS micro-processes. It separates the decision rules from DOGMA-MESS. SDT with different decision rules results in different final decisions, which can be evaluated. In this paper, we illustrate how SDTs are used and apply our approach in the domain of Human Resource Management.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Aschoff, F.R., Schmalhofer, F., van Elst, L.: Knowledge mediation: a procedure for the cooperative construction of domain ontologies. In: proc. of the ECAI 2004 workshop on Agent-Mediated Knowledge Management, pp. 29–38 (2004)
CSA, Z243.1-1970 for Decision Tables, Canadian Standards Association (1970)
de Moor, A.: Ontology-Guided Meaning Negotiation in Communities of Practice. In: Mambrey, P., Gräther, W. (eds.) C&T 2005. Proc. of the Workshop on the Design for Large-Scale Digital Communities at the 2nd International Conference on Communities and Technologies, Milan, Italy (2005)
de Moor, A., De Leenheer, P., Meersman, R.: DOGMA-MESS: A Meaning Evolution Support System for Interorganizational Ontology Engineering. In: Schärfe, H., Hitzler, P., Øhrstrøm, P. (eds.) ICCS 2006. LNCS (LNAI), vol. 4068, pp. 189–203. Springer, Heidelberg (2006)
De Leenheer, P., de Moor, A., Meersman, R.: Context Dependency Management in Ontology Engineering. In: Spaccapietra, S., Atzeni, P., Fages, F., Hacid, M.-S., Kifer, M., Mylopoulos, J., Pernici, B., Shvaiko, P., Trujillo, J., Zaihrayeu, I. (eds.) Journal on Data Semantics VIII. LNCS, vol. 4380, pp. 26–56. Springer, Heidelberg (2007)
Euzenat, J.: Building consensual knowledge bases: context and architecture. In: Mars, N.J.I. (ed.) Proc. of the KB&KS 1995. Towards Very Large Knowledge Bases, pp. 143–155. IOS Press, Amsterdam (1995)
Gruber, T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. In: Guarino, N., Poli, R. (eds.) Workshop on Formal Ontology, book Formal Ontology in Conceptual Analysis and Knowledge Representation, Padva, Italy, Kluwer Academic Publishers, Dordrecht (1993)
Guarino, N., Poli, R. (eds.): Formal Ontology in Conceptual Analysis and Knowledge Representation. Special issue of the International Journal of Human and Computer Studies 43(5/6) (1995)
Halpin, T.: Information Modeling and Relational Database: from Conceptual Analysis to Logical Design. Morgan-Kaufmann, San Francisco (2001)
Madhavan, J., Bernstein, P., Domingos, P., Halevy, A.: Representing and reasoning about mappings between domain models. In: AAAI 2002. Eighteenth National Conference on Artificial Intelligence, Edmonton, Canada, pp. 80–86. American Association for Artificial Intelligence (2002). ISBN:0-262-51129-0
Meersman, R.: The Use of Lexicons and Other Computer-Linguistic Tools in Semantics, Design and Cooperation of Database Systems. In: CODAS 1999. The Proceedings of the Second International Symposium on Cooperative Database Systems for Advanced Applications, pp. 1–14. Springer, Heidelberg (1999)
Myaeng, S.H., Lopez-Lopez, A.: Conceptual graph matching: a flexible algorithm and experiments. International Journal of Pattern Recognition and Artificial Intelligence 4, 107–126 (1992)
Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Massachusetts (1984)
Sowa, J.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. Brooks Cole Publishing, Pacific Grove (2000)
Spyns, P., Meersman, R., Jarrar, M.: Data Modeling versus Ontology Engineering. SIGMOD Record: Special Issue on Semantic Web and Data Management 31(4), 12–17 (2002)
Tang, Y., Meersman, R.: Towards Building Semantic Decision Table with Domain Ontologies. In: Man-Chung, C., Liu, N.K., Cheung, J., Zhou, R. (eds.) ICITM 2007. proceedings of International Conference on Information Technology and Management, pp. 14–22. ISM Press, Hong Kong (2007)
Tang, Y., Meersman, R.: On Constructing Semantic Decision Tables. In: Wagner, R., Revell, N., Pernul, G. (eds.) DEXA 2007. proc. of 18th International Conference on Database and Expert Systems Applications. LNCS, vol. 4653, pp. 34–44. Springer, Heidelberg (2007)
Tang, Y.: On Conducting a Decision Group to Construct Semantic Decision Tables. In: OntoContent workshop, in proc. of OTM 2007 (this book)
Tang, Y.: A Theoretic Foundation of Semantic Decision Tables and Decision Groups, PhD report, VUB STARLab, 2007.
Zhao, G., Meersman, R.: Architecting ontology for Scalability and Versatility. In: Meersman, R., Tari, Z. (eds.) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. LNCS, vol. 4276, pp. 1605–1614. Springer, Heidelberg (2006)
Zhao, G., Meersman, R.: Towards a Topical Ontology of Fraud. In: Mizoguchi, R., Shi, Z., Giunchiglia, F. (eds.) ASWC 2006. LNCS, vol. 4185, pp. 566–572. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tang, Y., Meersman, R. (2007). Organizing Meaning Evolution Supporting Systems Using Semantic Decision Tables. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS. OTM 2007. Lecture Notes in Computer Science, vol 4803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76848-7_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-76848-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76846-3
Online ISBN: 978-3-540-76848-7
eBook Packages: Computer ScienceComputer Science (R0)