Abstract
In this paper, ontology technology is applied to Supply Chain information integration, in order to provide unified interface for semantic data and to share, reuse knowledge among information resources. Ontology can solve well the semantic heterogeneity problem of distributed, heterogeneous and autonomous data sources; and the problem of semantic interoperability. Since the objects on Supply Chain are highly dynamic and unpredictable, the information to be integrated is often changing along with the objects, which means that the corresponding ontology also needs to be changed. The process and methods how supply chain dynamic ontology changes is mainly discussed.
Chapter PDF
Similar content being viewed by others
References
D. Fensel and C. Bussler, The Web Service Modeling Framework WSMF, Electronic Commerce Research and Applications. Volume 1, Number2, pp.113–137, (2002).
T.R. Gruber, A translation approach to portable ontology specifications ,Tech Rep: Logic-92-1, Stanford University (1993).
M. Gruninger, Designing and Evaluating Generic Ontologies, in Proc. of ECAI96’s Workshop on Ontological Engineering (1996), pp.53-64.
M. Fernándz, Overview of Methodologies for Building Ontologies, in Proc. of IJCAI99’s Workshop in Ontologies and Problem Solving Methods: Lessons Learned and Future Trends (1999).
J. Stader, Results of the Enterprise Project, in Proc. of the 16th Int. conference of the British Computer Society Specialist Group on Expert Systems (Cambridge, UK, 1996).
N. F. Noy, S. Kunnatur, M. Klein, and M.A. Musen, Tracking Changes During Ontology Evolution, in Proc. of the 3rd International Semantic Web Conference (ISWC-04) ,(2004).
KBSI.IDEF5 Ontology Description Capture Overview. http://www.idef.coin/idef5.htnri(Accessed October 1, 2003).
Natalya F. Noy and Deborah L. McGuinness, Ontology Development 101: A Guide to Creating Your First Ontology (Augest, 2001). http://protege.Stanford.edu/publications/otologv_development/ontolog101.pdf (Accessed October 12, 2002).
M. Klein, Combining and Relating Ontologies: An Analysis of Problems and Solutions, in Proc. Of IJCAI’01 Workshop on Ontologies and Information Sharing (Seattle, WA, 2001), pp.53-62.
H. Wache and T. Vgele, Ontology-based Integration of Information-a survey of Existing Approaches, in Proc. of the Workshop Ontologies and Information Sharing ,(2001).
M. Prasenjit, A Graph-oriented Model for Articulation of Ontology Interdependencies, in Proc. Of EDBT’00 (Springer: Verlag, 2000), pp.86-100.
M.R. MacGregor, H. Chalupsky, and E.R. Melz, PowerLoom Manual ,University of Southern California (November, 1997). http://www.isi.edu/isd/LOOM/PowerLoom/documentation/manul.pdf.
Y. Zhang, H. Zhang, and W. Zhang, Ontology-Based Information Integration Mapping Construction Between Global View and Local Views in Virtual Organization, MINI-MICRO SYSTEMS. Volume 3, Number 27, pp.253–257, (2006).
M. Klein and D. Fensel, Ontology Versioning on the Semantic Web, in Proceedings of the International Semantic Web Working Symposium (2001), pp.75-91.
G. Elouris, D. Plexousakis, and G. Antoniou, Evolving Ontology Evolution, in SOFSEM 2006, LNCS 3831 ,eds. J.Wiedermannetal (Springer: Verlag Berlin Heidelberg, 2006), pp. 14–29.
L. Stojanovic, A. Maedche, B. Motik, and N. Stojanovic, User-Driven Ontology Evolution Mangement, in EKAW 2002, LNAI 2473 ,eds. A. Gómez-Pérez and V.R. Benjamins, (Springer: Verlag Berlin Heidelberg, 2002), pp.285-300.,
M. Zhou, J. Gao, and F. Li, OWL-Oriented Evolution of the Ontology, Journal of Computer-aided design & computer graphics. Volume 3, Number 17, pp.584–591, (2005).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 IFIP International Federation for Information Processing
About this paper
Cite this paper
Yang, W., Yang, F. (2007). Dynamic Ontology for Supply Chain Information Integration. In: Xu, L.D., Tjoa, A.M., Chaudhry, S.S. (eds) Research and Practical Issues of Enterprise Information Systems II. IFIP — The International Federation for Information Processing, vol 254. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75902-9_16
Download citation
DOI: https://doi.org/10.1007/978-0-387-75902-9_16
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-0563-8
Online ISBN: 978-0-387-75902-9
eBook Packages: Computer ScienceComputer Science (R0)