A Pragmatic Approach to Model and Exploit the Semantics of Product Information

  • Taehee Lee
  • Junho Shim
  • Hyunja Lee
  • Sang-goo Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4244)


Recently researchers have tried to apply ontology to the product information domain. From a practical point of view, a key problem to streamline this trend is how to make a product ontology database operational. Technical solutions should consider the characteristics that a pragmatic product ontology database contains; first, the database size is quite huge, and second, ontological manipulation and utilization should be realistically feasible. We recently engaged in a project to build an operational product ontology system. The system is designed to serve as a product ontology knowledge base, not only for the design and construction of product databases but also for the search and discovery of products. From the insights gained through this project, we believe that ontological modeling and its implementation on an operational database, as well as the building applications which exploit ontological benefits, are the most important facets towards the successful deployment of a practical product ontology system. As such, searching techniques should take into account the features of an underlying ontological model especially with product searching being one of the most popular applications within product information systems. In this paper, we present these two issues; product ontology modeling and searching techniques. Although our work presented herein may not be the only way to build an operational product ontology database, it may serve as an important reference model for similar projects in future.


Product Information Description Logic Ranking Function Desktop Computer Semantic Relationship 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aleman-Meza, B., Halaschek, C., Arpinar, I.B., Ramakrishnan, C., Sheth, A.: A Flexible approach for analyzing and ranking complex relationships on the semantic web. IEEE Internet Computing, Special Issue on Information Discovery: Needles and Haystacks (2005)Google Scholar
  2. 2.
    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)Google Scholar
  3. 3.
    Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)Google Scholar
  4. 4.
    Balmin, A., Hristidis, V., Papakonstantinou, Y.: ObjectRank: Authority-based keyword search in databases. In: VLDB 2004 (2004)Google Scholar
  5. 5.
    Brin, S., Page, L.: The anatomy of a large-scale hyper-textual web search engine. In: 7th WWW Conference (1998)Google Scholar
  6. 6.
    Crestani, F.: Application of Spreading Activation Techniques in Information Retrieval. In: Artificial Intelligence Review, vol. 11(6). Kluwer Academic Publishers, Dordrecht (1997)Google Scholar
  7. 7.
    eOTD, ECCMA Open Technical Dictionary, (accessed, September 2005) http://www.eccma.org/eotd/index.html
  8. 8.
    Fensel, D., Ding, Y., Omelayenko, B., Schulten, E., Botquin, G., Brown, M., Flet, A.: Product Data Integration in B2B E-Commerce. In: IEEE Intelligent Systems, vol. 16(4). IEEE Society, Los Alamitos (2001)Google Scholar
  9. 9.
    GDD, Global Data Dictionary, (accessed, September 2005) http://www.ean-ucc.org/global_smp/global_data_dictionary.htm
  10. 10.
    Haarslev, V., Möller, R.: Description Logic Systems with Concrete Domains: Applications for the Semantic Web. In: 10th International Workshop on Knowledge Representation meets Databases (KRDB 2003). CEUR Workshop Proceedings (2003)Google Scholar
  11. 11.
    van Harmelen, F., Patel-Schneider, P.F., Horrocks, I. (eds.): Reference description of the DAML+OIL ontology markup language (2001), http://www.daml.org/2001/03/reference
  12. 12.
    Hepp, M.: Measuring the Quality of Descriptive Languages for Products and Services. In: Dorloff, F.-D., et al. (eds.) E-Business – Standardisierung und Integration. Tagungsband zur Multikonferenz Wirtschaftsinformatik (2004)Google Scholar
  13. 13.
    Hepp, M.: A Methodology for Deriving OWL Ontologies from Products and Services Categorization Standards. In: 13th European Conference on Information Systems (ECIS) (2005)Google Scholar
  14. 14.
    Kashyap, V., Borgida, A.: Representing the UMLS Semantic Network Using OWL. In: International Semantic Web Conference (2003)Google Scholar
  15. 15.
    Kim, D., Lee, S., Shim, J., Chun, J., Lee, Z., Park, H.: Practical Ontology Systems for Enterprise Application. In: Grumbach, S., Sui, L., Vianu, V. (eds.) ASIAN 2005. LNCS, vol. 3818, pp. 79–89. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  16. 16.
    Kleinberg, J.M.: Authoritative sources in hyperlinked environment. Journal of the ACM 46(5) (1999)Google Scholar
  17. 17.
    Lee, S.: Design & Implementation of an e-Catalog Management System. In: Tutorial at 9th International Conference on Database Systems for Advances Applications (DASFAA 2004) (2004)Google Scholar
  18. 18.
    Lee, J., Goodwin, R.: SNOBASE, for Semantic Network Ontology Base, http://www.alphaworks.ibm.com/aw.nsf/bios/snobase
  19. 19.
    Lee, I., Lee, S., Lee, T., Lee, S., Kim, D., Chun, J., Lee, H., Shim, J.: Practical Issues for Building a Product Ontology System. In: International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005). IEEE Society, Los Alamitos (2005)Google Scholar
  20. 20.
    Lee, H., Shim, J.: Product Ontology and OWL Correspondence. In: IEEE Pacific Rim International Workshop on Electronic Commerce (IEEE-PRIWEC 2006) (2006)Google Scholar
  21. 21.
    Lee, H., Shim, J., Kim, D.: Ontological Modeling of e-Catalogs using EER and Description Logic. In: International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005). IEEE Society, Los Alamitos (2005)Google Scholar
  22. 22.
    Leukel, J.: Standardization of Product Ontologies in B2B Relationships – On the Role of ISO 13584. In: 10th Americas Conference on Information Systems (2004)Google Scholar
  23. 23.
    lEUKEL, J., Schmitz, V., Dorloff, F.: A Modeling Approach for Product Classification Systems. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds.) DEXA 2002. LNCS, vol. 2453. Springer, Heidelberg (2002)Google Scholar
  24. 24.
    Mukherjea, S., Bamba, B.: BioPatentmINER: An information retrieval system for biomedical patents. In: VLDB (2004)Google Scholar
  25. 25.
    Obrst, L., Wray, R.E., Liu, H.: Ontological Engineering for B2B E-Commerce. In: International Conference on Formal Ontology in Information Systems (FOIS 2001). ACM Press, New York (2001)Google Scholar
  26. 26.
    Pollock, J.: Using the W3C Standard OWL in Adaptive Business Solutions. In: WWW 2004 Conference (2004), http://www.w3.org/2001/sw/EO/talks
  27. 27.
    Rocha, C., Schwabe, D., Aragao, M.: A hybrid approach for searching in the semantic web. In: WWW 2004 Conference (2004)Google Scholar
  28. 28.
    RosettaNet, The RosettaNet Technical Dictionary (accessed, September 2005) http://www.rosettanet.org
  29. 29.
    Shim, J., Lee, S., Wu, C.: A Unified Approach for Software Policy Modeling: Incorporating Implementation into a Modeling Methodology. In: Song, I.-Y., Liddle, S.W., Ling, T.-W., Scheuermann, P. (eds.) ER 2003. LNCS, vol. 2813, pp. 118–130. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  30. 30.
    Singhal, A.: Modern information retrieval: a brief overview. IEEE Data Engineering Bulletin, Special Issue on Text and Databases 24(4) (2001)Google Scholar
  31. 31.
    Smith, M.K., Welty, C., McGuinness, D.L.: OWL Web Ontology Language Guide – W3C Recommendation (2004), http://www.w3c.org/TR/owl-guide/
  32. 32.
    Staab, S., Studer, R. (eds.): Handbook on Ontologies. International Handbooks on Information Systems. Springer, Heidelberg (2004)Google Scholar
  33. 33.
    Stojanovic, N.: On the Query Refinement in the Ontology-Based Searching for Information. In: Eder, J., Missikoff, M. (eds.) CAiSE 2003. LNCS, vol. 2681. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  34. 34.
    Storey, V.C.: Understanding Semantic Relationships. VLDB Journal. VLDB Endowment 2 (1993)Google Scholar
  35. 35.
    SUO, IEEE Standard Upper Ontology Working group (accessed, March 2006), http://suo.ieee.org/
  36. 36.
    Winston, M.E., Chaffin, R., Herrmann, D.: A Taxonomy of Part-whole Relations. Cognitive Science 11 (1987)Google Scholar
  37. 37.
    Yan, G., Ng, W.K., Lim, E.: Product Schema integration for Electronic Commerce - A Synonym Comparison Approach. IEEE Transaction on Knowledge and Data Engineering 14(3) (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Taehee Lee
    • 1
  • Junho Shim
    • 2
  • Hyunja Lee
    • 2
  • Sang-goo Lee
    • 1
  1. 1.School of Computer Science & EngineeringSeoul National UniversityKorea
  2. 2.Department of Computer ScienceSookmyung Women’s UniversityKorea

Personalised recommendations