Large Semantic Graph Summarization Using Namespaces

• Type: Article in International Conference Proceedings Book
• Date: 2022

Authors

da Costa, ARSL (Author) Other; Santos, A (Author) Other; José Paulo Leal (Author) FCUP

Conference proceedings International

Title: 11th Symposium on Languages, Applications and Technologies, SLATE 2022, July 14-15, 2022, Universidade da Beira Interior, Covilhã, Portugal.

Pages: 12:1-12:9

11th Symposium on Languages, Applications and Technologies, SLATE 2022

14 July 2022 through 15 July 2022

Indexing

Scopus

Other information

Authenticus ID: P-00X-20X

DOI: 10.4230/oasics.slate.2022.12

Abstract (EN): 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. © Ana Rita Santos Lopes da Costa, André Santos, and José Paulo Leal.

Language: English

Type (Professor's evaluation): Scientific