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Session 1.1 dalicc - data licenses clearance center

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Talk at SEMANTiCS 2017
www.semantics.cc

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Session 1.1 dalicc - data licenses clearance center

  1. 1. Tassilo Pellegrini (UAS St. Pölten) Sabrina Kirraine & Simon Steyskal (Vienna Univ. of Economics) Anna Fensel & Oleksandra Pansiuk (STI2 – Univ. of Innsbruck) Markus Dörfler (HIP) Thomas Thurner & Victor Mireles Chavez (SWC) SEMANTICS 2017, Amsterdam, The Netherlands - 12.09.2017 Contact: tassilo.pellegrini@fhstp.ac.at Site: http://dalicc.net This slidedeck is available under CC BY-NC-ND 4.0
  2. 2. Data Governance Data Governance Data Policy Intellect. Property Privacy Law Compet. Law Data Licenses Practice / Usage Rights Institutions / Code of Conduct Norms / Terms of Trade ----------------------------- Some rights reserved --------------------- Public Domain Permissive Weakly Protective Strongly Protective Proprietary All rights reservedNo rights reserved
  3. 3. Preamble: Licenses on the Cloud (2015) Data Licenses on the Cloud Datagov Open Canada Public Data Datahub Datasets 132 206 244 257 55 481 9 371 License Types 10 3 50 33 Not Specified 99.6% 0.0% 24.3% 59.1% CC 0.4% 0.0% 35.3% 17.1% ODC 0.0% 0.0% 0.5% 4.8% Other 0.0% 100.0% 39.9% 19.0% Deref. Link 0.4% 100.0% 43.2% 23.1% Mach. Read. 0.0% 0.0% 2.6% 2.2% Source: Ermilov, I., Pellegrini, T., 2015. Data licensing on the cloud: empirical insights and implications for linked data. ACM Press, pp. 153–156. doi:10.1145/2814864.2814878
  4. 4. Introduction & Problem Statement DALICC stands for Data Licenses Clearance Center. The project‘s aim is to develop a software framework that significantly reduces the costs of license clearance in the creation of derivative (data) works. Problem Statement • The reuse of data, software or content is often accompanied with legal uncertainty with respect to intellectual property rights and privacy issues. • Rights clearance is costly. It requires expert knowledge, is error prone and time- consuming. • Easing the effort to clear rights increases productivity and stimulates the reuse of data. Partners: • UAS St. Pölten (Lead) • Vienna University of Economics & Business • University of Innsbruck • Höhne, In der Maur & Partner Rechtsanwälte OG • Semantic Web Company GmbH Runtime: 01.11.2016 – 30.10.2018 Funding Line: Austrian Research Promotion Agency – Future ICT
  5. 5. Licencing of Derivative Works Data Set N License N Data Set … License … Data User Data Set B License B Data Providers ? License ? Derivative Work … negotiate … • Terms of Trade • Terms of Use • Privacy Policy • Misc.Data Set A License A ODbL CC-BY CC-BY-SA IMDB License YouTube License TomTom License © ------------------------------- Some rights reserved ------------------------------ Public Domain Strongly Protective Weakly Protective Permissive Proprietary No rights reserved License Spectrum All rights reserved
  6. 6. Usage Scenarios Scenario A: Alice chooses a license • Alice already knows which license she wants to apply to her work (i.e. CC-BY). She consults DALICC and retrieves the relevant resources (i.e. URI) Scenario B: Alice creates a license • Alice knows her conditions but does not exactly know which license suits her demands. She consults DALICC and creates a license through a guided dialogue. • DALICC checks whether the license is a custom license or a standard license. And provides the necessary reference to the license (i.e. URI etc.) • Alice can decide whether to contribute the license to the DALICC library (as linked open data) or keep it to herself. Scenario C: Alice checks license compatibility • Alice selects all licenses relevant to her work. • DALICC provides Alice with a compatibility report that also points her to conflicting terms.
  7. 7. Data Set N License N License {A … N} Derivative Work Data Set … License … Data Set B License B Data Set A License A License Composer License Annotator License Library DALICC Framework License Negotiator consults tags audits proposes • Compatibility • Conflict Detection • Conflict Resolution Functionalities of the DALICC Framework Functional Components: • License Composer: Lets you create customized licenses • License Library: Lets you choose from a set of standard licenses • License Annotator: Provides you with a machine-readable and human-readable version of your license • License Negotiator: Checks compatibility, detects conflicts and supports conflict resolution
  8. 8. Rights Clearance – Methodological Approach 1. Step: Formal Semantics & REL Evaluation • Analyse license terms for semantic equivalence / similarity / ambiguity (i.e. distribution) • Evaluate semantic expressivity of RELs (espec. ODRL) to represent license terms • Extend existing RELs for copyright purposes (DALICC vocabulary) 2. Step: License Representation • Represent licenses in RDF using ODRL + extensions • Contribute to W3C Permissions & Obligations Group 3. Step: Rights Clearance • Create rules to reason over RDF statements to … calculate similarity of licenses … detect conflicts between licenses … provide hints to conflict resolution 4. Step: Data Provision & Publishing • Provide API to integrate „DALICC as a service“ • Provide endpoints to retrieve (linked) open data from DALICC (i.e. RDF licenses)
  9. 9. Rule Engine (1st Prototype) https://simonstey.github.io/www/test.html
  10. 10. Impressions: www.dalicc.net
  11. 11. Want to become a use case partner? Please contact us … Tassilo Pellegrini (UAS St. Pölten) Sabrina Kirraine & Simon Steyskal (Vienna Univ. of Economics) Anna Fensel & Oleksandra Pansiuk (STI2 – Univ. of Innsbruck) Markus Dörfler (HIP) Thomas Thurner & Victor Mireles Chavez (SWC) Contact: tassilo.pellegrini@fhstp.ac.at Site: http://dalicc.net This slide deck is available under CC BY-NC-ND 4.0

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