Sun wanted to improve the ability of Java developers to search Java API documentation and to make this content and application functionality available via Web Services.

Exiting content was contained in HTML pages which were designed for human reading rather than structuring information for processing by software. Requirements derived from interviews with the end-user Java development community called for sophisticated queries involving inferences and navigating complex relationships between data elements. Data migration resulted in extraction of large amounts of meta-data, which, if repeated carefully, could be reused in other Sun content management applications. The client requested the content and application functionality be made available to other applications, as well. An important goal of the client was to showcase its vision for Web Services.

Intelligent Systems developed a parser that analyzed DOM tree to produce a well structured XML representation of the data. RDF architecture was developed for representing and querying content and extracted meta-data and an RDF schema was design to model content. Intelligent Systems extracted relationships from XML content produced by the parser and converted these to RDF schema using XSLT. A query engine was developed whose core was an RDF inference engine to perform complex queries. Finally, a Web Service exposing query application was developed using JWSDP.