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Large Semantic Graph Summarization Using Namespaces

Authors :
da Costa, Ana Rita Santos Lopes
Santos, André
Leal, José Paulo
Publication Year :
2022
Publisher :
Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022.

Abstract

We propose an approach to summarize large semantics graphs using namespaces. Semantic graphs based on the Resource Description Framework (RDF) use namespaces on their serializations. Although these namespaces are not part of RDF semantics, they have intrinsic meaning. Based on this insight, we use namespaces to create summary graphs of reduced size, more amenable to be visualized. In the summarization, object literals are also reduced to their data type and the blank nodes to a group of their own. The visualization created for the summary graph aims to give insight of the original large graph. This paper describes the proposed approach and reports on the results obtained with representative large semantic graphs.<br />OASIcs, Vol. 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022), pages 12:1-12:9

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi...........9b5ddf6f925ae6852039efd45a6162a2
Full Text :
https://doi.org/10.4230/oasics.slate.2022.12