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Semantische Anreicherung von Suchanfragen auf Basis von Topic Maps

Thesis, was published by Andreas Christensen at 2005-06-03

This thesis introduces and documents the development of TopicSEEK, a system based on Topic Maps.

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This thesis introduces and documents the development of TopicSEEK, a system for semantic enrichment of requests for search engines, based on topic maps. Although they have weak semantic power, it is still sufficient. TopicSEEK has been supplied with appropriate expressions out of information technology. The complete system consists of a topic map, the client and the application layer. Furthermore there will be given an input grammar. As systems search engine, Google will be used for information retrieval. Google supplies a Java-API, wherefore TopicSEEK is developed in Java as well. Another Java-API is used to access k42, the chosen topic map engine. The prototype has been realized successfully. As test results indicate, the system works well, if terms are related meaningfully within the semantic context.

Authors

Andreas Christensen

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Andreas is author of Semantische Anreicherung von.. .

 

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