Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resources

Today, most information sources provide factual, objective knowledge, but they fail to capture personalized contextual knowledge which could be used to enrich the available factual data and contribute to their interpretation, in the context of the knowledge of the user who queries the system . This...

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Veröffentlicht in:	Journal of intelligent information systems 2019-12, Vol.53 (3), p.453-480
Hauptverfasser:	Cavallo, Giacomo, Di Mauro, Francesco, Pasteris, Paolo, Sapino, Maria Luisa, Candan, K. Selcuk
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Artificial Intelligence Computer Science Crowdsourcing Data base management systems Data Structures and Information Theory Enrichment Information resources Information sources Information Storage and Retrieval IT in Business Knowledge Knowledge bases (artificial intelligence) Natural Language Processing (NLP) Queries Query languages Semantics
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