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 of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results.
Some authors regard semantic search as a set of techniques for retrieving knowledge from richly structured data sources like ontologies and XML as found on the Semantic Web.[2] 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]
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Semantic Search: An Introduction
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What is the future of semantic search?
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Semantic Search Explained
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Webinar: Simpler Semantic Search with Solr
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Web semantics tutorial: Appreciating the value of the semantic web | lynda.com
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See also
- List of search engines
- Semantic web
- Semantic unification
- Resource Description Framework
- Natural language search engine
- Semantic query
- Vector database
- Word embeddings
References
- ^ Bast, Hannah; Buchhold, Björn; Haussmann, Elmar (2016). "Semantic search on text and knowledge bases". Foundations and Trends in Information Retrieval. 10 (2–3): 119–271. doi:10.1561/1500000032. Retrieved 1 December 2018.
- ^ Dong, Hai (2008). A survey in semantic search technologies. IEEE. pp. 403–408. Retrieved 1 May 2009.
- ^ Ruotsalo, T. (May 2012). "Domain Specific Data Retrieval on the Semantic Web". The Semantic Web: Research and Applications. Lecture Notes in Computer Science. Vol. 7295. pp. 422–436. doi:10.1007/978-3-642-30284-8_35. ISBN 978-3-642-30283-1.
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External links
- Semantic Search 2008 Workshop at ESWC'08
- Workshop on Exploiting Semantic Annotations in Information Retrieval at ECIR'08.
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This page was last edited on 19 February 2024, at 23:16