Open Text Collections Server (OTCS) 10.2 now features two new powerful methods for getting the most from your database - Concept Mining and Result Clustering.

Concept mining refers to the automatic extraction of concepts (persons, companies, keywords, phrases, etc.) during the import of a document. It gives users a context for their search results, letting them know the kinds of information contained in a result set. The benefits of concept mining include the following:

• Users can get an overview of the companies, people, and other concepts that are significant in a set of documents without having to read any of the documents themselves.
   
• Users can be alerted to different facets of the retrieved document set by examining its concept lists. For example, a search involving the word 'diet' might retrieve some documents about weight-loss programs as well as some documents about nutrition. A concept list based on all of these documents might include different entries associated with these different topics, thus giving the user a quick indication that the search may need to be refined.
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When a user performs a search, the clustering feature groups together similar documents into clusters. It does this by analysing each document and building a representation of its topic and then it compares documents’ representations with each other to determine which ones are most similar. For example, a general search on 'sports' may be clustered into topics like 'Football', 'Baseball', 'Basketball', and so forth.

To upgrade your OTCS implementation and implement these new features in your existing applications contact our consultants at support@pivotal-solutions.co.uk.