Metadata is widely understood to be a critical element of search, discovery and classification. But with the preponderance of unstructured data addressed by search technology, consistent native metadata is often in short supply. Organizations often find that the quality and depth of contextual metadata -- what documents are about – can maker or break search relevancy, precision and recall.

Semaphore is an enterprise semantic platform that uniquely captures an organization‘s subjects and topics into a taxonomy or ontology (model), in a manner that adds context for enhanced navigation and findability. Semaphore augments traditional information management systems like Solr search by adding advanced content classification, metadata and navigation capabilities to deliver a more complete, higher quality enterprise information management experience. This talk will focus on the following:

• Deep dive into the technical integration of Semaphore with Apache/ Solr (including the connection points between Semaphore and Solr)
• Discuss the Semaphore modules (Ontology Manager, Classification Server, Semantic Enhancement Server and Search Application Server) and how they provide better findability
• Share a demonstration of Solr in action
• Present a client case study (Nordyske).