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Data licensing on the cloud: empirical insights and implications for linked data

Published: 16 September 2015 Publication History

Abstract

This paper investigates necessities and pitfalls in existing data licensing practices on the World Wide Web. The authors analyzed four open data portals with respect to the available licenses and drew conclusions about the quantity and quality of available licensing information. Additionally the authors address reasoning issues with respect to the automatic detection and potential clearance of licensing conflicts when creating derivative works from multiple data sources. The issues raised in this paper should be taken into account when designing and implementing a Linked Data licensing policy.

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Cited By

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  • (2023)Automatisierte Rechteklärung mittels Semantic Web Technologien: Das DALICC-FrameworkWissensbasierte KI-Anwendungen10.1007/978-3-662-68002-5_14(227-244)Online publication date: 1-Dec-2023
  • (2018)Survey of tools for Linked Data consumptionSemantic Web10.3233/SW-180316(1-57)Online publication date: 17-Aug-2018
  • (2018)Automated Rights Clearance Using Semantic Web Technologies: The DALICC FrameworkSemantic Applications10.1007/978-3-662-55433-3_14(203-218)Online publication date: 14-Apr-2018

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cover image ACM Other conferences
SEMANTICS '15: Proceedings of the 11th International Conference on Semantic Systems
September 2015
220 pages
ISBN:9781450334624
DOI:10.1145/2814864
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2015

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Author Tags

  1. RDF datasets
  2. data portals
  3. licensing

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SEMANTiCS '15

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SEMANTICS '15 Paper Acceptance Rate 22 of 97 submissions, 23%;
Overall Acceptance Rate 40 of 182 submissions, 22%

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Cited By

View all
  • (2023)Automatisierte Rechteklärung mittels Semantic Web Technologien: Das DALICC-FrameworkWissensbasierte KI-Anwendungen10.1007/978-3-662-68002-5_14(227-244)Online publication date: 1-Dec-2023
  • (2018)Survey of tools for Linked Data consumptionSemantic Web10.3233/SW-180316(1-57)Online publication date: 17-Aug-2018
  • (2018)Automated Rights Clearance Using Semantic Web Technologies: The DALICC FrameworkSemantic Applications10.1007/978-3-662-55433-3_14(203-218)Online publication date: 14-Apr-2018

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