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Semantic triple

Known as: RDF triple 
A semantic triple, or simply triple, is the atomic data entity in the Resource Description Framework (RDF) data model. As its name indicates, a… 
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Related topics

Related topics

17 relations
AllegroGraphData WebData modelEntity–attribute–value model

Broader (2)

Data modelingResource Description Framework

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Semantic Triple Encoder for Fast Open-Set Link Prediction
We improve both the open-set generalization and efficiency of link prediction on knowledge graphs by leveraging the contexts of… 
2014
2014
Scalable and Efficient Self-Join Processing technique in RDF data
Efficient management of RDF data plays an important role in successfully understanding and fast querying data. Although the… 
2014
2014
Healthcare-Event driven semantic knowledge extraction with hybrid data repository
In this paper, we introduce a Healthcare-Event (H-event) based knowledge extraction approach on a hybrid data repository. The… 
2013
2013
Ovopub: Modular data publication with minimal provenance
With the growth of the Semantic Web as a medium for creating, consuming, mashing up and republishing data, our ability to trace… 
2013
2013
Applying the Semantic Web to Computational Chemistry
Chemical Semantics is a new start-up devoted to bringing the Semantic Web to computational chemistry, with a future goal to cover… 
2013
2013
Base de données sémantique d'inventaires en cycle de vie
L’analyse en cycle de vie fournit une methode reconnue pour la modelisation des impacts environnementaux d’un produit ou d’un… 
2013
2013
Creating Semantic Data from Relational Database
The semantic web technology contributes to finding accurate information on the basis of the meaning of words or improving access… 
2009
2009
Swarm Approaches For Semantic Triple Clustering And Retrieval In Distributed RDF Spaces
Within the last decade, many new approaches have been developed towards a shift from the “classic” web, which is designed… 
2008
2008
The TextCap Semantic Interpreter
The lack of large amounts of readily available, explicitly represented knowledge has long been recognized as a barrier to… 
2003
2003
An Integrative Approach for Attaching Semantic Annotations to Service Descriptions
Service discovery in large scale, open distributed systems is difficult because of the need to filter out services suitable to… 
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