Jean-Sébastien Brunner
Lei Zhang
Yue Pan
ABSTRACT
Master data refers to core business entities a company uses repeatedly across many business processes and systems (such as lists or hierarchies of customers, suppliers, accounts, products, or organizational units). Product information is the most important kind of master data and product information management (PIM) is becoming critical for modern enterprises because it provides a rich business context for various applications. Existing PIM systems are less flexible and scalable for on-demand business, as well as too weak to completely capture and use the semantics of master data. This paper explores how to use semantic web technologies to enhance a collaborative PIM system by simplifying modeling and representation while preserving enough dynamic flexibility. Furthermore, we build a semantic PIM system using one of the state-of-art ontology repositories and summarize the challenges we encountered based on our experimental results, especially on performance and scalability. We believe that our study and experiences are valuable for both semantic web community and master data management community.
- Agrawal, R., Somani, A. and Xu, Y. Storage and Querying of E-Commerce Data, VLDB, 2001. Google Scholar
Digital Library
- Atkison, C. and Kuhne, T. Model-Driven Devlopment: A Metamodeling Foundation, IEEE Software, Sept/Oct 2003. Google ScholarDigital Library
- Brickley, D. and Guha, R. V. RDF vocabulary description language 1.0: RDF schema. W3C recommendation, Feb 2004.Google Scholar
- Broekstra, J., Kampman, A., and Van Harmelen, F. Sesame: A generic architecture for storing and querying RDF and RDF schema. ISWC, 2002. Google ScholarDigital Library
- de Bruijn, J., Franconi, E. and Tessaris, S. Logical Reconstruction of normative RDF. Proc. of the Workshosp on OWL Experiences and Directions (OWLED 2005).Google Scholar
- Carroll, J. J., Dickinson, I., Dollin, C., Reynolds, D., Seaborne, A. and Wilkinson, K. Jena: implementing the semantic web recommendations. WWW 2004. Google ScholarDigital Library
- Chen Y., Ou J., Jiang Y., and Meng X. HStar - a semantic repository for large scale OWL documents. ASWC 2006. Google ScholarDigital Library
- Cuenca-Grau, B. OWL 1.1 Web Ontology Language Model-Theoretic Semantics, Editor Draft.Google Scholar
- Customer Data Integration: Market Review & Forecast for 2005-2006, A CDI Institute MarketPulse" In-Depth Report.Google Scholar
- Gartner Reports, Magic Quadrant for Product Information Management, 2006.Google Scholar
- Fokoue, A., Kershenbaum, A., Ma, L., Schonberg, E. and Srinivas K. The summary ABox: Cutting Ontologies Down to Size. ISWC 2006, 343--356. Google ScholarDigital Library
- Grosof, B., Horrocks, I., Voltz, R. and Decker, S. Description Logic Programs: Combining Logic Programs with Description Logic. WWW, 2003. Google ScholarDigital Library
- Hayes, P. and Welty, C. Defining N-aryRelations on the Semantic Web, W3C Working Group Note 12 April 2006.Google Scholar
- Horrocks, I., Kutz, O., and Sattler, U. The Even More Irresistible SROIQ, KR 2006, 57--67.Google Scholar
- IBM Websphere Product Center, http://www-306.ibm.com/software/integration/wpc/, 2004.Google Scholar
- Kalyanpur, A., Parsia, B., Sirin, E., Cuenca-Grau, B. and Hendler J. Swoop - a web ontology editing browser, Journal of Web Semantics 4 (1), 2005. Google ScholarDigital Library
- Kifer, M., Lausen, G. and Wu, J. Logical Foundations of Object-Oriented and Frame-Based Languages. Journal of the ACM, 1995. Google ScholarDigital Library
- Kiryakov, A., Ognyanov, D., and Manov, D. OWLIM - a pragmatic semantic repository for OWL. WISE Workshops, volume 3807 of Lecture Notes in Computer Science, 182--192. Springer, 2005. Google ScholarDigital Library
- Knublauch, H., Fergerson, R. W., Noy, N. F. and Musen, M. A. The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications. ISWC, 2004.Google ScholarDigital Library
- Kuhne, T. and Atkinson, C. The essence of multilevel metamodelling. In UML 2001, Number 2185 in Lecture Notes in Computer Science, 19--33. Springer, 2001. Google ScholarDigital Library
- Ma, L., Yang, Y., Qiu, Z., Xie, G., Pan, Y. and Liu, S. Towards a complete OWL ontology benchmark. ESWC, 125--139, 2006. Google ScholarDigital Library
- Manola, F. and Miller, E. RDF primer. W3C recommendation, Feb 2004.Google Scholar
- Meta Object Facility (MOF) 2.0, OMG Document: formal/2006-01-01, http://www.omg.org/cgi-bin/doc?formal/2006-01-01Google Scholar
- Morris, H. D. and Vesset, D. Managing Master Data for Business Performance Management: The Issues and Hyperion's Solution, IDC white paper, 2005.Google Scholar
- Motik, B. On the properties of meta-modeling in OWL, ISWC 2005. Google ScholarDigital Library
- Motik, B., Horrocks, I. and Sattler, U. Integrating Description Logics and Relational Databases, Technical Report, University of Manchester, UK, 2006.Google Scholar
- Oracle Data Hub, http://www.oracle.com/data_hub/index.html, 2005.Google Scholar
- Ontology Definition Metamodel (ODM) Request for Proposal, OMG Document: ad/2003-03-40, http://www.omg.org/cgi-bin/doc?ad/06-05-01.pdf, 2006.Google Scholar
- SAP Master Data Management, https://www.sdn.sap.com/irj/sdn/developerareas/mdm, 2005.Google Scholar
- Schreiber, G. The Web is not well-formed. IEEE Intelligent Systems, 17(2):79--80, 2002. Google ScholarDigital Library
- Smith M. K., Welty C. and McGuinness D. L. OWL web ontology language guide. W3C recommendation, Feb 2004.Google Scholar
- Welty, C. and Ferrucci, D. What's in an Instance? Technical report, Rochester Polytechnic Institute Computer Science Dept., 1994.Google Scholar
- Zhou, J., Ma, L., Liu, Q., Zhang, L., Yu, Y. and Pan Y. Minerva: A scalable OWL ontology storage and inference system. In Proc. of ASWC, 429--443, 2006. Google ScholarDigital Library
Index Terms
- Explorations in the use of semantic web technologies for product information management
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