Abstract
We motivate and describe techniques that allow to detect an "emergent" relational schema from RDF data. We show that on a wide variety of datasets, the found structure explains well over 90% of the RDF triples. Further, we also describe technical solutions to the semantic challenge to give short names that humans find logical to these emergent tables, columns and relationships between tables. Our techniques can be exploited in many ways, e.g., to improve the efficiency of SPARQL systems, or to use existing SQL-based applications on top of any RDF dataset using a RDBMS.
Original language | English |
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Title of host publication | WWW 2015 - Proceedings of the 24th International Conference on World Wide Web |
Publisher | Association for Computing Machinery, Inc |
Pages | 864-874 |
Number of pages | 11 |
ISBN (Electronic) | 9781450334693 |
DOIs | |
Publication status | Published - 18 May 2015 |
Event | 24th International Conference on World Wide Web, WWW 2015 - Florence, Italy Duration: 18 May 2015 → 22 May 2015 |
Conference
Conference | 24th International Conference on World Wide Web, WWW 2015 |
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Country/Territory | Italy |
City | Florence |
Period | 18/05/15 → 22/05/15 |
Keywords
- RDF
- Relational schema
- Structure recognition