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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 meaning ...
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
The semantic gap is often mentioned in regard to CBIR. The semantic gap refers to the gap between the information that can be extracted from visual data and the interpretation that the same data have for a user in a given situation. [17] The ACM SIGMM Workshop on Multimedia Information Retrieval [18] is dedicated to studies of CBIR.
Semantics studies meaning in language, which is limited to the meaning of linguistic expressions. It concerns how signs are interpreted and what information they contain. An example is the meaning of words provided in dictionary definitions by giving synonymous expressions or paraphrases, like defining the meaning of the term ram as adult male sheep. [22]
Query understanding is the process of inferring the intent of a search engine user by extracting semantic meaning from the searcher’s keywords. [1] Query understanding methods generally take place before the search engine retrieves and ranks results.
Semantic technologies are "meaning-centered". They involve but are not limited to the following areas of application: encoding/decoding of semantic representation, knowledge graphs of entities and their interrelationships, auto-recognition of topics and concepts, information and meaning extraction, semantic data integration, and; taxonomies ...
Semantic Scholar is free to use and unlike similar search engines (i.e. Google Scholar) does not search for material that is behind a paywall. [ 5 ] [ citation needed ] One study compared the index scope of Semantic Scholar to Google Scholar, and found that for the papers cited by secondary studies in computer science, the two indices had ...
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.