Abstract
Changes of semantics in data sources further complicate the semantic heterogeneity problem. We identify four types of semantic heterogeneities related to changing semantics and present a solution based on an extension to the Context Interchange (COIN) framework. Changing semantics is represented as multi-valued contextual attributes in a shared ontology; however, only a single value is valid over a certain time interval. A mediator, implemented in abductive constraint logic programming, processes the semantics by solving temporal constraints for single-valued time intervals and automatically applying conversions to resolve semantic differences over these intervals. We also discuss the scalability of the approach and its applicability to the Semantic Web.
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References
Abiteboul, S., Lausen, G., Uphoff, H., Waller, E.: Methods and Rules. SIGMOD Rec. 22(2), 32–41 (1993)
Alatovic, T.: Capabilities Aware Planner/Optimizer/Executioner for COntext INterchange Project, MS Thesis, MIT (2002)
Bettini, C.: Web services for time granularity reasoning. In: TIME-ICTL 2003 (2003)
Bettini, C., Jajodia, S., Wang, X.S.: Time Granularities in Databases, Data Mining, and Temporal Reasoning. Springer, Heidelberg (2000)
Dobbie, G., Topor, R.: On the Declarative and Procedural Semantics of Deductive Object-Oriented Systems. Journal of Intelligent Information Systems 4, 193–219 (1995)
Eshgi, K., Kowalski, R.: Abduction Compared with Negation as Failure. In: Proceedings of 6th Intl Conf. on Logic Programming (1989)
Firat, A.: Information Integration using Contextual Knowledge and Ontology Merging, PhD Thesis, MIT (2003)
Firat, A., Madnick, S., Grosof, B.: Financial information integration in the presence of equational ontological conflicts. WITS (2002)
Frühwirth, T.: Theory and Practice of Constraint Handling Rules. Journal of Logic Programming 37, 95–138 (1998)
Goh, C.: Representing and Reasoning about Semantic Conflicts in Heterogeneous Information Systems, PhD Thesis, MIT (1997)
Goh, C., Bressan, S., Madnick, S., Siegel, M.: Context Interchange: New Features and Formalisms for the Intelligent Integration of Information. ACM TOIS 17, 270–293 (1999)
Hobbs, J.R.: A DAML Ontology of Time, LREC (2002)
Jayasena, S.: Context Mediation Approach to Improved Interoperability amongst Disparate Financial Information Services, MS Thesis, Singapore-MIT Alliance CS Program (2004)
Kakas, A.C., Michael, A., Mourlas, C.: ACLP: Integrating Abduction and Constraint Solving. Journal of Logic Programming 44, 129–177 (2000)
Kiffer, M., Laussen, G., Wu, J.: Logic Foundations of Object-Oriented and Frame-based Languages. J. ACM 42(4), 741–843 (1995)
Lee, P.W.: Metadata Representation and Management for Context Mediation, MS Thesis, MIT (2003)
Madnick, S., Wang, R., Xian, X.: The Design and Implementation of a Corporate Householding Knowledge Processor to Improve Data Quality. JMIS 20(3), 41–69 (2004)
Santos, J., Staab, S.: FONTE: Factorizing Ontology Engineering Complexity. In: International Conference On Knowledge Capture, pp. 146–153. ACM Press, Sanibel Island (2003)
Tang, P.E.K., Madnick, S., Tan, K.L.: Context Mediation in the Semantic Web: Handling OWL Ontology and Data Disparity through Context Interchange. In: Bussler, C.J., Tannen, V., Fundulaki, I. (eds.) SWDB 2004. LNCS, vol. 3372, pp. 140–154. Springer, Heidelberg (2005)
Wallace, M., Novello, S., Schimpf, J.: ECLiPSe: A Platform for Constraint Logic Programming, In: IC-Parc, Imperial College, London (August 1997)
Zhu, H., Madnick, S.E., Siegel, M.D.: Reasoning about Temporal Context using Ontology and Abductive Contraint Logic Programming. In: Ohlbach, H.J., Schaffert, S. (eds.) PPSWR 2004. LNCS, vol. 3208, Springer, Heidelberg (2004)
Zhu, H., Madnick, S.E., Siegel, M.D.: Effective Data Integration in the Presence of Temporal Semantic Conflicts. In: Proceedings of 11th International Symposium on Temporal Representation and Reasoning (TIME 2004), Normandie, France, July 1-3, pp. 109–114 (2004)
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Zhu, H., Madnick, S.E., Siegel, M.D. (2005). Representation and Reasoning About Changing Semantics in Heterogeneous Data Sources. In: Bussler, C., Tannen, V., Fundulaki, I. (eds) Semantic Web and Databases. SWDB 2004. Lecture Notes in Computer Science, vol 3372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31839-2_10
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DOI: https://doi.org/10.1007/978-3-540-31839-2_10
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