Semantic query

Domaine

Intelligence artificielle
Coulombe

Français

requête sémantique

Source:

Avec cette idée, nous considérons que la transformation d’une requête textuelle en une requête sémantique passe par la révélation des concepts (cachés ou explicites) à travers la structure de la requête.

Audeh, B. (2014). Reformulation sémantique des requêtes pour la recherche d’information ad hoc sur le Web (Doctoral dissertation, Ecole Nationale Supérieure des Mines de Saint-Etienne). https://tel.archives-ouvertes.fr/tel-01126932/document

Anglais

Semantic query

Semantic queries allow for queries and analytics of associative and contextual nature. Semantic queries enable the retrieval of both explicitly and implicitly derived information based on syntactic, semantic and structural information contained in data. They are designed to deliver precise results (possibly the distinctive selection of one single piece of information) or to answer more fuzzy and wide open questions through pattern matching and digital reasoning.

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 (the science of meaning) in unstructured text to produce a better search result (see natural language processing).