Lesson learnt from a large-scale industrial semantic web application

The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance of existing engines to identify possible areas of concern. We developed a Semantic Web based document repository for transferring front-line maintenance knowledge to design. The Semantic Web is an ideal candidate for this application because of the size and distributed nature of an aerospace manufacturer's operation. The Semantic Web allows us to dynamically cross reference documents with the use of an ontology. However, during the design and implementation of this project, we found deficiencies in the W3C1 recommended Semantic Web query language SPARQL. It is difficult to answer questions our users sought from the document repository using SPARQL. The problem is that SPARQL is designed for handling textual queries. In industrial applications, many common textual and semantic questions also contain a nume...

• Type: Conference
• Year: 2007
• Where: HT
• Authors: Sylvia C. Wong, Richard M. Crowder, Gary B. Wills, Nigel R. Shadbolt
• Keywords: Document Repository, HT 2007, Internet Technology, Semantic Web, Semantic Web Query