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  2. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results.

  3. Semantic network - Wikipedia

    en.wikipedia.org/wiki/Semantic_network

    A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in neurolinguistics and natural language processing applications such as semantic parsing [2] and word-sense disambiguation. [3]

  4. List of search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_search_engines

    Desktop search product with Outlook plugin and limited support for other formats via IFilters, uses Lucene search engine. Proprietary (14-day trial) [7] Nepomuk: Linux: Open-source semantic desktop search tool for Linux. Has been replaced by Baloo in KDE Applications from release 4.13 onward. License SA 3.0 and the GNU Free Documentation ...

  5. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data. This is in contrast to semantic search, which uses semantics (meaning of language constructs) in unstructured text to produce a

  6. Semantic Web - Wikipedia

    en.wikipedia.org/wiki/Semantic_Web

    The Semantic Web, sometimes known as Web 3.0 (not to be confused with Web3), is an extension of the World Wide Web through standards [1] set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable.

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  8. Semantic matching - Wikipedia

    en.wikipedia.org/wiki/Semantic_matching

    Semantic matching is a technique used in computer science to identify information that is semantically related. Given any two graph-like structures, e.g. classifications , taxonomies database or XML schemas and ontologies , matching is an operator which identifies those nodes in the two structures which semantically correspond to one another.

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