ELLIS: Interactive exploration of Linked Data on the level of induced schema patterns

Citation

Gottron T, Knauf M, Scherp A & Schaible J (2016) ELLIS: Interactive exploration of Linked Data on the level of induced schema patterns. In: Thalhammer A, Cheng G & Gunaratna K (eds.) Summarizing and Presenting Entities and Ontologies: Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) co-located with the 13th Extended Semantic Web Conference (ESWC 2016), volume 1605. CEUR Workshop Proceedings, 1605. SumPre 2016 - 2nd International Workshop on Summarizing and Presenting Entities and Ontologies, 30.05.2016-30.05.2016. Anissaras: CEUR Workshop Proceedings. http://ceur-ws.org/Vol-1605/

Abstract
We present ELLIS, a demo to browse the Linked Data cloud on the level of induced schema patterns. To this end, we define schema-level patterns of RDF types and properties to identify how entities described by type sets are connected by property sets. We show that schema-level patterns can be aggregated and extracted from large Linked Data sets using efficient algorithms for mining frequent item sets. A subsequent visualisation of such patterns enables users to quickly understand which type of information is modelled on the Linked Data cloud and how this information is interconnected.

Journal
CEUR Workshop Proceedings: Volume 1605

• Gottron et al 2016