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Explore the Topic Maps Lab portal with the new subject-centric full text search

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Abstract:

The Topic Maps Lab portal provides a new subject-centric full text search which supports the user to explore the full Topic Maps knowledge available in the portal. The search results are not documents, but subjects.

With the recently launched RDFa support for rich snippets we try to improve search results in Google.

But within the portal we go a step further. Today we launched the subject-centric full text search within the Topic Maps Lab portal. With this search it will be much more convenient to explore all the Topic Maps knowledge available in the portal.

So what is the difference between a standard full text search and a subject-centric full text search? The search results are subjects, not documents! Please experience the difference: search for “engine” in Google’s customized search and compare it to the subject-centric search in the Topic Maps Lab portal. Which search results are more convenient for you and will answer your questions in a faster way?

 

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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.

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