Abstract
One of the main challenges in building enterprise applications has been to balance between built-in functionality and domain/scenario-specific customization. The lack of formal ways to extract, distill and standardize the embedded domain knowledge has been a barrier to effective and efficient customization. Ontology may provide, as many would hope, the much needed methodology and standard to achieve the objective of building flexible enterprise solutions. This article examines the uses, issues and challenges of using ontology in enterprise applications. We believe that we are seriously lacking in modeling methodology, domain user tools, and lifecycle management methodology for the creation and maintenance of ontology on a large deployable scale. We present the issues based on an ongoing project to build a product ontology for a public procurement system. Through real life scenarios, we are hoping to convey important research directions to better enable ontology.
This work was support in part by the Ministry of Information & Communications, Korea, under the ITRC program.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Noy, N.F., McGuinness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology http://protege.stanford.edu/publications/ontology_development/ontology101.html
McGuinness, D.L.: Ontologies Come of Age. In: Fensel, D., et al. (eds.) The Semantic Web: Why, What, and How. MIT Press, Cambridge (2001)
W3C: Semantic Web, http://www.w3.org/2001/sw/
UNSPSC, United Nations Standard Products and Services Code. UNDP http://www.unspsc.org/
eCl@ss - New Standardized Material and Service Classification. Cologne Institute for Business Research, http://www.eclass-online.com/
UCCnet, http://knowledgebase.uccnet.org/
eOTD, ECCMA Open Technical Dictionary, ECCMA http://www.eccma.org/eotd/index.html
GDD, Global Data Dictionary, http://www.ean-ucc.org/global_smp/global_data_dictionary.htm
Kim, D., Lee, S., Chun, J.: A Semantic Classification Model for e-Catalogs. In: IEEE Conference on E-Commerce (2004)
Lee, S.: Design & Implementation of an e-Catalog Management System. Tutorial at DASFAA (2004)
Shim, J., Lee, S., Wu, C.: A Unified Approach for Software Policy Modeling: Incorporating Implementation into a Modeling Methodology. In: 22nd International Conference on Conceptual Modeling (2003)
Atkinson, C., Kühne, T.: The Essence of Multilevel Metamodeling. In: 4th International Conference on The Unified Modeling Language, Modeling Languages, Concepts, and Tools. Springer, Heidelberg (2001)
Shim, J., Lee, H., Lee, S.: Conceptual and Formal Modeling of Product Ontology. Technical Report, Center for e-Business Technology, Seoul National University (2004) (submitted to Journal of Organizational Computing and Electronic Commerce)
Pacitti, E., Simon, E.: Update Propagation Strategies to Improve Freshness in Lazy Master Replicated Databases. The International Journal on Very Large Data Bases 8(3-4) (2000)
Gandon, F.: Ontology Engineering: A Survey and a Return on Experience. Research Report No. 4396, INRIA (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, D., Lee, Sg., Shim, J., Chun, J., Lee, Z., Park, H. (2005). Practical Ontology Systems for Enterprise Application. In: Grumbach, S., Sui, L., Vianu, V. (eds) Advances in Computer Science – ASIAN 2005. Data Management on the Web. ASIAN 2005. Lecture Notes in Computer Science, vol 3818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596370_8
Download citation
DOI: https://doi.org/10.1007/11596370_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30767-9
Online ISBN: 978-3-540-32249-8
eBook Packages: Computer ScienceComputer Science (R0)