Semantic Web Dog Food

Presented at: 16th International World Wide Web Conference (WWW2007)

by Jean-Sebastien Brunner, Li Ma, Daniel C. Wolfson, Yue Pan

Master data is 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 richer business context for various applications. Existing PIM systems are less flexible and scalable for on-demand business, as well as 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 modelling 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 encountered challenges 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.

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2007/paper/main/776

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