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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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Resellers can give their customers the opportunity to apply Web 3.0 technology to their web sites with topics maps-based searching, which is more suitable for single sites than Google-style navigation.

Kal2_bw
Kal Ahmed
TMCore
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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Graduate from the Topic Maps Lab

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