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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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maiana

I like the easy but powerful way of merging Topic Maps to extend and combine existing knowledge bases. Thus I see high potential in distributed environments where peer to peer solutions may open the gates to the real Web 3.0.

Marcel_hoyer_-_130x130
Marcel Hoyer
SharpTM
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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