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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

As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.

Alexander_sigel_2
Alexander Sigel
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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