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Beru - Semantic Search for Topic Maps

Project category: Topic Maps Search Module
Project status: Alpha

Traditional full text search engines are unable to cover the whole range of information that can be represented within Topic Maps. Beru fills this gap with its advanced method of extracting available information into a Lucene fulltext index and thus providing fast and flexible semantic search for Topic Maps. As Beru is based on the Java TMAPI, it is ready to use for all Java TMAPI based applications.

 

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Topic Maps is the only formal semantic model which is optimized for humans, not for computers. Applications and web portals based on Topic Maps are easy to use, without limitations for flexibility and creativity.

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Benjamin Bock
Ruby Topic Maps
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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