Web 3.0 is supposed to usher in thewidespread use of semantic technologies. However, few web content management(WCM) and enterprise content management(ECM) platforms currently support thetools. A recent case study describes an integration between EPiServer 6 (news,site) and Smartlogic's Semaphore, which provides a model for other organizationsthat need to introduce semantic capabilities into their WCM and ECM platforms.
The Value of Semantic Technology for Content
Semantictechnology is a set of standardsadministered by the World Wide Web Consortium (W3C) that allows machines to betterunderstand the meaning of content and its relationships without humanintervention. In the case study, a client wanted a semantic website thatallowed users to more easily locate unstructured content in within their WCMplatform. The key goals of the project were to:
- leverage semantic technology to allow users to classify content and relate it to other content
- allow users to tag content with terms in the ontology so that the search engine would index WCM content based on preferred terms
- provide query-able services that could be integrated into search results
- create reusable components that the organization could configure for future developments
EPiServer 6 supports search, but does not take into accountany semantic enhancement. Since EPiServer supports an extension API, the teamwas able integrate Semaphore with the WCM without reducing usability. What didSemaphore bring to the table? The semantic tool provides:
- Ontology Manager/Server -- Allows users to leverage controlled vocabularies -- thesauri, taxonomies and ontologies to create relationships between terms.
- Classification Server -- Extracts keywords or terms from documents to best describe the document. It does this by making use of the information created by the Ontology Manager and Rulebase Generator.
- Search Enhancement Server -- A server based application that provides an XML API to the model stored in Semaphore.
A Custom Solution for a Semantic Website
The team integrated to the tools using a custom developed solutionbetween Semaphore and EPiServer. The solutionallows users to classify documents and post the results to the search engine sothat the content is indexed. This allows the search engine to return relatedcontent and recommend documents based on the semantic description and relationshipsbetween the information.
While the solution described in the case study was specificto EPiServer 6 and a specific search provider, Google Search Appliance, asimilar to technique could be leveraged to implement semantic capabilities intoother content management solutions.
Additional details regarding the implementation areavailable on the EpiServerblog.