Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/28033
Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
Author(s): | Gottron, Thomas Knauf, Malte Scherp, Ansgar Schaible, Johann |
Title: | ELLIS: Interactive exploration of Linked Data on the level of induced schema patterns |
Editor(s): | Thalhammer, A Cheng, G Gunaratna, K |
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/ |
Issue Date: | 2016 |
Date Deposited: | 22-Oct-2018 |
Series/Report no.: | CEUR Workshop Proceedings, 1605 |
Conference Name: | SumPre 2016 - 2nd International Workshop on Summarizing and Presenting Entities and Ontologies |
Conference Dates: | 2016-05-30 - 2016-05-30 |
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. |
Status: | VoR - Version of Record |
Rights: | Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. |
URL: | http://ceur-ws.org/Vol-1605/ |
Files in This Item:
File | Description | Size | Format | |
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Gottron et al 2016.pdf | Fulltext - Published Version | 731.58 kB | Adobe PDF | View/Open |
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