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Semantic Search

Our semantic search overcomes the weaknesses of traditional keyword-based search applications. Semantic search allows for topic-oriented browsing of document collections and eliminates the need for specific knowledge of specialized terminology for keyword searches. Semantic search applications recognize the meaning of search requests via named entity recognition, thus the need for multiple searches using synonyms, umbrella terms or abbreviations to reveal all potentially relevant results is eliminated.

The following video shows an overview of the strengths of our semantic search technology:

Our semantic search is multilingual. Thus, multilingual document collections such as library catalogues can be searched using different request languages. We use Talend Open Studio, RapidMiner and Apache Lucene/Solr to develop of semantic applications.

See also: Multilingual Search | Linked Open Data

 

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CONTACT

robert

Robert Glaß
rglass
[at]avantgarde-labs.de

+49 (0)351 215 908 34

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