Integration of Semaphore with FAST ESP

Integration of Semaphore with FAST ESP

This diagram shows the Semaphore core modules and the integration points with FAST ESP.

Semaphore is integrated with Microsoft FAST ESP, with the Semaphore search components working alongside FAST‘s facet navigation.  From the corpus of documents, the FAST crawler picks up a document and moves it to the indexing pipeline.  The FAST indexer passes the document to the Semaphore Classification Server, which “simply” reads the document and returns tags based on the rules loaded in it. It then returns the document that has been enriched with metadata tags (e.g. subject, location, person, etc.) to the FAST indexing pipeline.  The document can now be retrieved via full text, enriched Semaphore metadata, or a combination of both.

When a user submits a query, it is passed to Semaphore‘s Search Application Framework.  The Search Application Framework is a collection of web services and tag libraries that expose core functionality like search results, relevance/date ranking, etc. with the advanced Semaphore capability of taxonomy or entity-based facet navigators, topic maps and filters and more, to provide a great search experience out of the box.  The framework also allows the tweaking and customization needed to meet application specification requirements with minimal development effort.