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  2. Query expansion - Wikipedia

    en.wikipedia.org/wiki/Query_expansion

    Finding synonyms of words, and searching for the synonyms as well; Finding semantically related words (e.g. antonyms, meronyms, hyponyms, hypernyms) Finding all the various morphological forms of words by stemming each word in the search query; Fixing spelling errors and automatically searching for the corrected form or suggesting it in the results

  3. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Such technologies enable the formal articulation of domain knowledge at a high level of expressiveness and could enable the user to specify their intent in more detail at query time. [3] The articulation enhances content relevance and depth by including specific places, people, or concepts relevant to the query.

  4. Query language - Wikipedia

    en.wikipedia.org/wiki/Query_language

    A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. [1] A well known example is the Structured Query Language (SQL).

  5. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    A code searching tool with an emphasis on finding software bugs. Search patterns are written in a query language which can search the AST and graphs (CFG, DFG, etc.) of supported languages. A plugin is available for Visual Studio. ConQAT (retired) 2015-02-01 Yes; ASL 2: Ada C#, C++ Java JavaScript — — ABAP

  6. Query by Example - Wikipedia

    en.wikipedia.org/wiki/Query_by_Example

    Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL . [ 1 ] It is the first graphical query language, using visual tables where the user would enter commands, example elements and conditions.

  7. Cross-language information retrieval - Wikipedia

    en.wikipedia.org/wiki/Cross-language_information...

    The term Multilingual Information Retrieval (MLIR) involves the study of systems that accept queries for information in various languages and return objects (text, and other media) of various languages, translated into the user's language.

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