query expansion


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query expansion

(information science)
Adding search terms to a user's search. Query expansion is the process of a search engine adding search terms to a user's weighted search. The intent is to improve precision and/or recall. The additional terms may be taken from a thesaurus. For example a search for "car" may be expanded to: car cars auto autos automobile automobiles.

The additional terms may also be taken from documents that the user has specified as being relevant; this is the basis for the "more like this" feature of some search engines.

The extra terms can have positive or negative weights.
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In query expansion, related words are added to user's original query and form a longer and more precise query to express users' retrieval intentions.
The second possible application of annotations is in the query expansion or in query construction process.
In addition, automated query expansion ensures that users don't miss relevant content even when they may not know all the right keywords or appropriate controlled vocabularies to use in a search.
The specific topics include query expansion based on Mongolian semantics, subspace culling for continuous collision detection, designing and implementing a static test approach for embedded software, an area-based image matching algorithm and its implementation, and the real-time estimation of the road friction coefficient for an electric vehicle.
Often described as query expansion and pseudo relevance feedback related research can be traced down to the standard information retrieval area, e.
The approach is known as query expansion and can be done by expanding the query both before and after translation.
Automatic query expansion via lexical-semantic relationships.
The system's ability to recognize the context of the problem by using locality based similarity heuristics and query expansion (with the help of WorldNet).
Designed to give users greater context and avenues to pursue, Intelligent Query Expansion offers suggestions based on your query and the document.
and query expansion to assist biological information retrieval search.
With the AIE Ontology Module, customers can better correlate, access, and analyze information by using their existing ontologies as the basis for advanced entity extraction and query expansion.
The establishment of term similarity in TSRM aims not only at the identification of similar concepts expressed by different terms across documents, but also it aims at the resolution of the so called term mismatch problem in IR, by allowing for query expansion using similar terms.