Definition and Purpose of Semantic Search
– Semantic search differentiates from lexical search by understanding the overall meaning of the query.
– It aims to improve search accuracy by understanding the searchers’ intent and contextual meaning.
– Semantic search generates more relevant results by considering the users’ intent and related topics.
– Well-written content in a natural voice ranks well in semantic search.
– Semantic search can be applied to both the Web and closed systems.

Techniques and Technologies in Semantic Search
– Some authors view semantic search as techniques for retrieving knowledge from structured data sources.
– Richly structured data sources like ontologies and XML on the Semantic Web are used in semantic search.
– These technologies allow the formal articulation of domain knowledge at a high level of expressiveness.
– Semantic search enables users to specify their intent in more detail at query time.
– The use of semantic search technologies contributes to improved search results.

List of Semantic Search Engines
– Semantic search engines are specialized search engines that employ semantic search techniques.
– These engines aim to provide more accurate and relevant search results.
– Examples of semantic search engines include: [list of specific engines]
– Each semantic search engine may have its own unique features and capabilities.
– Users can choose a semantic search engine based on their specific needs and preferences.

References for Further Reading
– Bast, Hannah, Buchhold, Björn, and Haussmann, Elmar published a paper on semantic search on text and knowledge bases.
– Mattar, Nick wrote about semantic SEO and its importance.
– Dong, Hai conducted a survey on semantic search technologies.
– Ruotsalo, T. presented a paper on domain-specific data retrieval on the Semantic Web.
– These references provide in-depth information and research on semantic search.

Related Concepts and Links
– Semantic web, semantic unification, resource description framework, and natural language search engine are related concepts to semantic search.
– Additional resources and information can be found in the external links section.
– The workshop on exploiting semantic annotations in information retrieval at ECIR08 is a valuable resource.
– Library 2.0, digital library, digital humanities, and metadata are related topics.
– Search engine, desktop search, and online search are also relevant concepts to explore.  Source: https://en.wikipedia.org/wiki/Semantic_search

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