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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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The idea of Topic Maps is essential to enable dynamic information logistic. This requires a system that understands the context of the user to provide relevant informations and options automatically. Therefore semantic analysis is needed organizing content in a dynamic net structure.

Wurzer
Jörg Wurzer
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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