We describe RECAP, a tool that, given a pair of entities defined in some Knowledge Graph (KG), builds an explanation, that is, a graph (of manageable size) reflecting their relatedness. Explanations enable to discover new knowledge and browse toward other entities of interest. We discuss different kinds of explanations based on information theory and diversity. The KG-agnostic approach adopted by RECAP, which retrieves the necessary information via SPARQL queries, makes it readily usable on a variety of KGs.

RECAP: Building Relatedness Explanations on the Web

CUZZOCREA, Alfredo Massimiliano
2016

Abstract

We describe RECAP, a tool that, given a pair of entities defined in some Knowledge Graph (KG), builds an explanation, that is, a graph (of manageable size) reflecting their relatedness. Explanations enable to discover new knowledge and browse toward other entities of interest. We discuss different kinds of explanations based on information theory and diversity. The KG-agnostic approach adopted by RECAP, which retrieves the necessary information via SPARQL queries, makes it readily usable on a variety of KGs.
9781450341448
Semantic Web
Knowledge Graphs
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/312925
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