The role of reasoning for RDF validation

Bosch, Thomas ; Acar, Erman ; Nolle, Andreas ; Eckert, Kai

SEMANTICS2015BoschAcar.pdf - Accepted

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URN: urn:nbn:de:bsz:180-madoc-394620
Document Type: Conference or workshop publication
Year of publication: 2015
Book title: Semantics 2015 : Proceedings of the 11th International Conference on Semantic Systems, Vienna, Austria, September 15-17, 2015
Page range: 33-40
Date of the conference: September 16, 2015
Publisher: Hellmann, Sebastian
Place of publication: New York, NY
Publishing house: ACM
ISBN: 978-1-4503-3462-4
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: For data practitioners embracing the world of RDF and Linked Data, the openness and flexibility is a mixed blessing. For them, data validation according to predefined constraints is a much sought-after feature, particularly as this is taken for granted in the XML world. Based on our work in the DCMI RDF Application Profiles Task Group and in cooperation with the W3C Data Shapes Working Group, we published by today 81 types of constraints that are required by various stakeholders for data applications. These constraint types form the basis to investigate the role that reasoning and different semantics play in practical data validation, why reasoning is beneficial for RDF validation, and how to overcome the major shortcomings when validating RDF data by performing reasoning prior to validation. For each constraint type, we examine (1) if reasoning may improve data quality, (2) how efficient in terms of runtime validation is performed with and without reasoning, and (3) if validation results depend on underlying semantics which differs between reasoning and validation. Using these findings, we determine for the most common constraint languages which constraint types they enable to express and give directions for the further development of constraint languages.

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