Search Engine Interpretation

The query is interpreted by a user before the actual search and is an algorithm used internally in a comprehensible form. This serves to keep the syntax of the request as simple as possible and still allow for complex queries.

Many search engines support the logical interconnection of different search words using Boolean operators. This can find websites that contain certain terms, but not others.  A more recent development is the ability of several search engines, to take implicit information in the context of the query itself and explore and analyze further.

The case of an incomplete query is typical of a present ambiguities of the query words and can thus reduced.  The relevance of search results will have increased compliance with the conscious or unconscious expectations of the searchers.

The semantic similarities of the search terms (see also closed semantics) to one, or several meanings lies behind the question. The result set is then related to responses.  This usually results in not only a quantitative but, especially for incomplete requests, and not optimally chosen keywords, also improves the quality (relevance) of the results, because in these cases keywords shown in search intentions are reproduced by the statistical methods used by search engines, in practice surprisingly well. (See also: semantic search engine and Latent Semantic Indexing).
Invisible co-given information (location information and other information) in the case of requests from the mobile network, or developed ‘preferences of meaning’ from the saved search history of the user, are further examples not explicitly included in the search terms specified by many search engines for modification and improvement of the results used information.

There are also search engines that can be queried only with strictly formal query languages, because in general, one can answer very complex questions very precisely.  An as yet only rudimentary or limited information base of search engines has the ability to process natural languages and fuzzy searches.