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Towards Semantic Search with Topic Maps

Paper, was published by Lars Marius Garshol at 2009-11-12

The paper explores an approach, which attempts to interpret user searches in terms of the topic map being searched.

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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. 

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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}}

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Call for Contributions TMRA 2009 will be the fifth event in the annual series of international conferences on Topic Maps Research and …

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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.

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