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Automated Rights Clearance Using Semantic Web Technologies: The DALICC Framework

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Semantic Applications

Abstract

The creation of derivative data works, e.g. for purposes such as content creation, service delivery or process automation, is often accompanied by legal uncertainty about usage rights and high costs in the clearance of licensing issues. DALICC stands for Data Licenses Clearance Center. It supports legal experts, innovation managers and application developers in the legally secure reutilization of third party data and software. DALICC is a Semantic Web enabled software framework which allows the attaching of licenses in a machine readable format to a specific asset and supports the clearance of rights by providing the user with information about equivalence, similarity and compatibility between licenses if used in combination in a derivative work. In essence, DALICC helps to determine which information can be shared with whom, to what extent and under which conditions, thus lowering the costs of rights clearance and stimulating the data economy.

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Notes

  1. 1.

    Similar trends and figures are reported for the Spanish data broker market by Granickas [13].

  2. 2.

    At the time of publication the DALICC service was in closed beta mode and not available to the public. A public version will be available at www.dalicc.net.

  3. 3.

    Similar results are reported by Jain et al. [19] especially with respect to the large variety of licenses in European data clouds.

  4. 4.

    See also http://oeg-upm.github.io/odrlapi/ & http://conditional.linkeddata.es/ldr/manageren (accessed January 4, 2016).

  5. 5.

    See also http://dev.iptc.org/RightsML-Implementation-Examples (accessed January 4, 2016).

  6. 6.

    The following 14 commonly used licenses have been semantically represented: CC-BY, CC BY-SA, CC BY-ND, CC BY-NC, CC BY-NC-SA, CC BY-NC-ND, BSD (2 clause), BSD (3 clause), MIT, APACHE, GPLv3, GPLv2, AGPL and LGPL.

  7. 7.

    Answer Set Programming has sparked theoretical interest from the Semantic Web Community before [23] because of its relationships to the well-known SPARQL querying language.

  8. 8.

    Clingo is an ASP system to ground and solve logic programs. See also https://potassco.org/ (accessed December 12, 2017).

  9. 9.

    See also Versata, Trilogy Software, Inc. and Trilogy Development Group v. Ameriprise, Ameriprise Financial Services, Inc. and American Enterprise Investment Services, Inc., Case No. D-1-GN-12-003588; 53rd Judicial District Court of Travis County, Texas.

References

  1. Archer P, Dekkers M, Goedertier S, Loutas N (2013). Study on business models for linked open government data. ISA programme by PwC EU Services. European Commission. See also https://www.w3.org/2013/share-psi/workshop/krems/papers/LinkedOpenGovernmentDataBusinessModel. Accessed 29 Nov 2017

  2. Deloitte (2012) Open growth. Stimulating demand for open data in the UK. See also http://www2.deloitte.com/content/dam/Deloitte/uk/Documents/deloitte-analytics/open-growth.pdf. Accessed 29 Nov 2017

  3. ENISA (2013) Detect, SHARE, protect solutions for improving threat data exchange among CERTs, Oct 2013

    Google Scholar 

  4. Ermilov I, Pellegrini T (2015) Data licensing on the cloud: empirical insights and implications for linked data. ACM Press, pp 153–156. https://doi.org/10.1145/2814864.2814878

  5. European Commission (2014) Towards a thriving data-driven economy. Brussels, 2.7.2014, COM(2014) 442 final

    Google Scholar 

  6. Frangos J (2015) New transparency in licensing: overview of the licensing facilitation act. Informed Couns 6(1):2

    Google Scholar 

  7. Frosterus M, Hyvönen E, Laitio J (2011) Creating and publishing semantic metadata about linked and open datasets. In: Wood D (ed) Linking government data. Springer, New York, pp 95–112

    Chapter  Google Scholar 

  8. García R, Gil R (2009) Copyright licenses reasoning an OWL-DL ontology. In: Proceedings of the 2009 conference on law, ontologies and the semantic web: channelling the legal information flood. IOS Press, Amsterdam, pp 145–162

    Google Scholar 

  9. García R, Gil R, Delgado J (2004) Intellectual property rights management using a semantic web information system. In: Meersman R, Tari Z (eds) On the move to meaningful Internet systems 2004: CoopIS, DOA, and ODBASE, vol 3290. Springer, Berlin/Heidelberg, pp 689–704

    Chapter  Google Scholar 

  10. García R, Gil R, Delgado J (2007) A web ontologies framework for digital rights management. Artif Intell Law 15(2):137–154. https://doi.org/10.1007/s10506-007-9032-6

    Article  Google Scholar 

  11. Gebser M, Kaufmann B, Kaminski R, Ostrowski M, Schaub T, Schneider M (2011) Potassco: the potsdam answer set solving collection. AI Commun 24(2):107–124

    MathSciNet  MATH  Google Scholar 

  12. Governatori G, Lam H-P, Rotolo A, Villata S, Auguste Atemezing G, Gandon F (2014) LIVE: a tool for checking licenses compatibility between vocabularies and data, vol 1272. See also https://hal.inria.fr/hal-01076619. Accessed 29 Nov 2017

  13. Granickas K (2013) Understanding the impact of releasing and re-using open government data. In: European Public Sector Information Platform. Topic report no. 2013/08. See also http://www.epsiplatform.eu/sites/default/files/2013-08-Open_Data_Impact.pdf. Accessed 29 Nov 2017

  14. Guibault LM (2011) Open content licensing: from theory to practice. Amsterdam University Press, Amsterdam

    Book  Google Scholar 

  15. Hoffmann A, Schulz T, Zirfas J, Hoffmann H, Roßnagel A, Leimeister JM (2015) Legal compatibility as a characteristic of sociotechnical systems. Bus Inf Syst Eng 57(2):103–113. https://doi.org/10.1007/s12599-015-0373-5

    Article  Google Scholar 

  16. Houghton J (2011) The costs and benefits of data provision. Report to the Australian National Data Service. Centre for Strategic Economic Studies, Victoria University

    Google Scholar 

  17. Hyland B, Wood D (2011) The joy of data – a cookbook for publishing linked government data on the web. In: Wood D (ed) Linking government data. Springer, New York, pp 3–26

    Chapter  Google Scholar 

  18. IDC & Open Evidence (2013) European Data Market. SMART 2013/0063. See also https://drive.google.com/a/open-evidence.com/file/d/0B5Co3wBffnzhUTBQUklCS0VoRTg/view?pref=2&pli=1. Accessed 29 Nov 2017

  19. Jain P, Hitzler P, Janowicz K, Venkatramani C (2013) There’s no money in linked data. http://knoesis.wright.edu/pascal/pub/nomoneylod.pdf. Accessed 29 Nov 2017

  20. Kirrane S, Mileo A, Decker S (2015) Access control and the resource description framework: a survey. Semant Web J. See also http://www.semantic-web-journal.net/content/access-control-and-resource-description-framework-survey. Accessed 29 Nov 2017

  21. OECD (2008) Intellectual assets and value creation. See also http://www.oecd.org/sti/inno/40637101.pdf. Accessed 29 Nov 2017

  22. Pellegrini T (2014) Linked Data Licensing – Datenlizenzierung unter netzökonomischen Bedingungen. In: Schweighöfer E et al (eds) Transparenz. 17. Int. Rechtsinformatik Symposium IRIS 2014. OCG Verlag, Wien

    Google Scholar 

  23. Polleres A, Wallner JP (2013) On the relation between SPARQL1. 1 and answer set programming. J Appl Non-Class Log 23(1–2):159–212

    Article  MathSciNet  Google Scholar 

  24. Prenafeta J (2010) Protecting copyright through semantic technology. Publ Res Q 26(4):249–254

    Article  Google Scholar 

  25. Pucella R, Weissman V (2002) A logic for reasoning about digital rights. In: Proceedings of the 15th IEEE workshop on Computer Security Foundations. IEEE Computer Society, Washington, DC, pp 282–294

    Chapter  Google Scholar 

  26. Rodriguez E, Delgado J, Boch L, Rodriguez-Doncel V (2015) Media contract formalization using a standardized contract expression language. IEEE Multimed 22(2):64–74. https://doi.org/10.1109/MMUL.2014.22

    Article  Google Scholar 

  27. Rodriguez-Doncel V, Delgado J (2009) A media value chain ontology for MPEG-21. IEEE Multimed 16(4):44–51. https://doi.org/10.1109/MMUL.2009.78

    Article  Google Scholar 

  28. Roehring P, Pring B (2013) The value of signal and the cost of noise. Oxford Economics, London

    Google Scholar 

  29. Sande MS, Portier M, Mannens E, Van de Walle R (2012) Challenges for open data usage: open derivatives and licensing. https://www.w3.org/2012/06/pmod/pmod2012_submission_4.pdf. Accessed 12 Feb 2016

  30. Sonntag M (2006) Rechtsschutz für Ontologien. In: e-Staat und e-Wirtschaft aus rechtlicher Sicht. Richard Boorberg Verlag, Stuttgart

    Google Scholar 

  31. Steyskal S, Polleres A (2015) Towards formal semantics for ODRL policies. In: Rule technologies: foundations, tools, and applications – 9th international symposium, RuleML 2015, Berlin, Germany, August 2–5, 2015, Proceedings, pp 360–375. https://doi.org/10.1007/978-3-319-21542-6_23

  32. Villata S, Gandon F (2012) Licenses compatibility and composition in the web of data. In: Third international workshop on consuming linked data (COLD 2012), Boston, Nov 2012, https://km.aifb.kit.edu/ws/cold2012/. hal-01171125

  33. World Bank (2014) Open data for economic growth. See also http://www.worldbank.org/content/dam/Worldbank/document/Open-Data-for-Economic-Growth.pdf. Accessed 29 Nov 2017

  34. Ball A (2014) How to license research data. A Digital Curation Centre and JISC Legal ‘working level’ guide. http://www.dcc.ac.uk/resources/how-guides/license-research-data. Accessed 29 Nov 2017.

  35. Rotolo A, Villata S, Gandon F (2013) A deontic logic semantics for licenses composition in the web of data. In: Proceedings of the fourteenth international conference on artificial intelligence and law, ICAIL ’13. ACM, New York, pp 111–120. https://doi.org/10.1145/2514601.2514614

  36. Guido G, Ho-Pun L, Antonino R, Serena V, Fabien G (2013) Heuristics for licenses composition. Frontiers in artificial intelligence and applications. pp 77–86. https://doi.org/10.3233/978-1-61499-359-9-77

  37. Cabrio E, Palmero Aprosio A, Villata S (2014) These are your rights. In: Presutti V, d’Amato C, Gandon F, d’Aquin M, Staab S, Tordai A (eds) The semantic web: trends and challenges. Springer International Publishing, Cham, pp 255–269

    Google Scholar 

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Acknowledgements

DALICC was funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) under the program “ICT of the Future” between November 2016 – October 2018. More information is available at https://iktderzukunft.at/en/ and https://dalicc.net/.

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Correspondence to Tassilo Pellegrini .

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Pellegrini, T., Mireles, V., Steyskal, S., Panasiuk, O., Fensel, A., Kirrane, S. (2018). Automated Rights Clearance Using Semantic Web Technologies: The DALICC Framework. In: Hoppe, T., Humm, B., Reibold, A. (eds) Semantic Applications. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55433-3_14

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  • DOI: https://doi.org/10.1007/978-3-662-55433-3_14

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