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  2. Semantic search - Wikipedia

    en.wikipedia.org/wiki/Semantic_search

    Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. [ 1] Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual ...

  3. 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. To enable the encoding of semantics with the data, technologies such as Resource Description ...

  4. Semantic technology - Wikipedia

    en.wikipedia.org/wiki/Semantic_technology

    Semantic technology. The ultimate goal of semantic technology is to help machines understand data. To enable the encoding of semantics with the data, well-known technologies are RDF (Resource Description Framework) [1] and OWL (Web Ontology Language). [2] These technologies formally represent the meaning involved in information.

  5. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph -structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics ...

  6. 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 better search result.

  7. Concept search - Wikipedia

    en.wikipedia.org/wiki/Concept_search

    A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for information that is conceptually similar to the information provided in a search query. In other words, the ideas expressed in ...

  8. Ontology (information science) - Wikipedia

    en.wikipedia.org/wiki/Ontology_(information_science)

    v. t. e. In information science, an ontology encompasses a representation, formal naming, and definitions of the categories, properties, and relations between the concepts, data, or entities that pertain to one, many, or all domains of discourse. More simply, an ontology is a way of showing the properties of a subject area and how they are ...

  9. Monster Introduces SeeMore™, its Semantic Search and ... - AOL

    www.aol.com/news/2013-04-18-monster-introduces...

    Monster Introduces SeeMore™, its Semantic Search and Analytics Recruiting Platform in France The first in a series of non-English versions to be rolled out globally MAYNARD, Mass.--(BUSINESS ...