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Towards Semantic Search with Topic Maps
Paper, was published by Lars Marius Garshol at 2009-11-12
External Link: more information
Using traditional full-text search on Topic Maps is the most common approach to search in Topic Maps today, and while it works quite well in most cases it also has substantial weaknesses. This paper explores an alternative approach, which attempts to interpret user searches in terms of the topic map being searched, to produce tolog queries representing the interpretation of the user’s search.
Authors
Lars Marius Garshol
No contact information available.
Lars Marius is project leader of TM Photo, Topic Maps Tools, and duke - fast deduplication.. .
Presented at
TMRA 2009
Conference in Leipzig from {{start}} to {{end}}
Call for Contributions TMRA 2009 will be the fifth event in the annual series of international conferences on Topic Maps Research and …
Visit homepage of TMRA 2009
This publication cites the following publications
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.
SharpTM
