These Are Your Rights

A Natural Language Processing Approach to Automated RDF Licenses Generation
  • Elena Cabrio
  • Alessio Palmero Aprosio
  • Serena Villata
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8465)

Abstract

In the latest years, the Web has seen an increasing interest in legal issues, concerning the use and re-use of online published material. In particular, several open issues affect the terms and conditions under which the data published on the Web is released to the users, and the users rights over such data. Though the number of licensed material on the Web is considerably increasing, the problem of generating machine readable licenses information is still unsolved. In this paper, we propose to adopt Natural Language Processing techniques to extract in an automated way the rights and conditions granted by a license, and we return the license in a machine readable format using RDF and adopting two well known vocabularies to model licenses. Experiments over a set of widely adopted licenses show the feasibility of the proposed approach.

Keywords

#eswc2014Cabrio RDF-based licenses specifications Natural Language Processing 

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References

  1. 1.
    Abelson, H., Adida, B., Linksvayer, M., Yergler, N.: ccREL: The creative commons rights expression language. Technical report, Creative Commons (2008)Google Scholar
  2. 2.
    Bizer, C., Heath, T., Berners-lee, T.: Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems 5, 1–22 (2009)Google Scholar
  3. 3.
    Carroll, J., Bizer, C., Hayes, P., Stickler, P.: Named graphs. J. Web Sem. 3(4), 247–267 (2005)CrossRefGoogle Scholar
  4. 4.
    Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press (2010)Google Scholar
  5. 5.
    Gangadharan, G.R., D’Andrea, V., Iannella, R., Weiss, M.: Odrl service licensing profile (ODRL-S). In: Proceedings of Virtual Goods (2007)Google Scholar
  6. 6.
    Gangadharan, G.R., Weiss, M., D’Andrea, V., Iannella, R.: Service license composition and compatibility analysis. In: Krämer, B.J., Lin, K.-J., Narasimhan, P. (eds.) ICSOC 2007. LNCS, vol. 4749, pp. 257–269. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  7. 7.
    Gerber, D., Ngomo, A.-C.N.: Extracting multilingual natural-language patterns for RDF predicates. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 87–96. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  8. 8.
    Gordon, T.F.: Analyzing open source license compatibility issues with Carneades. In: Proceedings of ICAIL, pp. 51–55. ACM (2011)Google Scholar
  9. 9.
    Governatori, G., Rotolo, A., Villata, S., Gandon, F.: One license to compose them all - a deontic logic approach to data licensing on the web of data. In: Alani, H., et al. (eds.) ISWC 2013, Part I. LNCS, vol. 8218, pp. 151–166. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  10. 10.
    Groth, P.T., Gil, Y., Cheney, J., Miles, S.: Requirements for provenance on the web. IJDC 7(1), 39–56 (2012)CrossRefGoogle Scholar
  11. 11.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Morgan & Claypool (2011)Google Scholar
  12. 12.
    Krötzsch, M., Speiser, S.: ShareAlike Your Data: Self-referential Usage Policies for the Semantic Web. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part I. LNCS, vol. 7031, pp. 354–369. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  13. 13.
    Miller, P., Styles, R., Heath, T.: Open data commons, a license for open data. In: Proceedings of LDOW (2008)Google Scholar
  14. 14.
    Nadah, N., de Rosnay, M.D., Bachimont, B.: Licensing digital content with a generic ontology: escaping from the jungle of rights expression languages. In: Proceedings of ICAIL, pp. 65–69. ACM (2007)Google Scholar
  15. 15.
    Rodriguez-Doncel, V., Figueroa, M.S., Gomez-Perez, A., Villalon, M.P.: License linked data resources pattern. In: Proc. of the 4th International Workshop on Ontology Patterns (2013)Google Scholar
  16. 16.
    Rodriguez-Doncel, V., Figueroa, M.S., Gomez-Perez, A., Villalon, M.P.: Licensing patterns for linked data. In: Proc. of the 4th International Workshop on Ontology Patterns (2013)Google Scholar
  17. 17.
    Rodríguez-Doncel, V., Gómez-Pérez, A., Mihindukulasooriya, N.: Rights declaration in linked data. In: Hartig, O., Sequeda, J., Hogan, A., Matsutsuka, T. (eds.) COLD. CEUR Workshop Proceedings, vol. 1034. CEUR-WS.org (2013)Google Scholar
  18. 18.
    Socher, R., Bauer, J., Manning, C.D., Ng, A.Y.: Parsing with compositional vector grammars. ACL (1), 455–465 (2013)Google Scholar
  19. 19.
    Truong, H.L., Gangadharan, G.R., Comerio, M., Dustdar, S., Paoli, F.D.: On analyzing and developing data contracts in cloud-based data marketplaces. In: IEEE Proceedings of APSCC, pp. 174–181 (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Elena Cabrio
    • 1
    • 2
  • Alessio Palmero Aprosio
    • 3
  • Serena Villata
    • 1
  1. 1.INRIASophia AntipolisFrance
  2. 2.EURECOMFrance
  3. 3.Machine Linking SrlItaly

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