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dc.contributor.author
KARAMOUSALI, VASILIKI
en
dc.date.accessioned
2016-02-18T13:27:02Z
dc.date.available
2016-02-19T01:00:17Z
dc.date.issued
2016-02-18
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/12446
dc.rights
Default License
dc.title
Text and Data Mining (focused on EU)
en
heal.type
masterThesis
el
heal.keywordURI.LCSH
Data mining
heal.keywordURI.LCSH
Text processing (Computer science)
heal.keywordURI.LCSH
Data mining--Data processing
heal.keywordURI.LCSH
Intellectual property
heal.keywordURI.LCSH
Intellectual property--Law and legislation
heal.keywordURI.LCSH
Copyright
heal.language
en
el
heal.access
free
el
heal.license
http://creativecommons.org/licenses/by-nc/4.0
el
heal.references
BIBLIOGRAPHY AIPPI Japanese Group , Exceptions to Copyright protection and the permitted Uses of Copyright works in the hi - tech and digital sectors, Question Q216B, https://www.aip pi.org/download/commitees/216B/GR216Bjapan.pdf (2011). Ananiadou, S. , “Text Mining, IPR, Derived Data and Licensing”, on behalf of NaCTeM, http://ec.europa.eu/licenses - for - europe - dialog ue/node/7 . Text and Data Mining (focused on EU) Vasiliki Karamousali, January 2016 Ananiadou S. , “The National Centre for Text Mining: A Vision for the Future”, October 2007, http://www.ariadne.ac.uk/issue53/ananiadou. Battisti M. , “Le datamining, prochaine exception au droit d’auteur”, Paralipomenes 2011, http://www.paralipomenes.net/archives/6490 . Borghi M., & Karapapa S. , “Copyright and Mass Digitization: a Cross - Jurisdictional Perspective”, Oxford University Press, 63 (2013). Case : British Horseracing Board Ltd v. William Hill Organization Ltd (BHB decision), C - 203/02, [2004] ECR I - 10415 Case: Fixtures Marketing Ltd v. Sverka AB, C - 338/02, [2004] ECR I - 10497 Clark J. , Text Mining and Scholarly Publishing, PRC (2012) Clark J. , “Text Mining and Scholarly Publishing” , Report Commissioned by the Publishing Research Consortium, 3 (2013). Colcanap G. & Perales C. , “CSPLA – Mission relative au data mining (exploration de données): l’analyse de Couperin et de l’ADBU” http://adbu.fr/wp - content/uploads/2014/04/Audition_CSPLA_TDM_2014_04_04_final.pdf (2014). Copyright Clearance Center , TDM Pilot Program, User Guide for CCC’s Text and Data Mining Service (2013). Copyright Review C ommittee , “Copyright and Innovation: a Consultation Paper”, for the Minister for Jobs, Enterprise and Innovation, Dublin http://www.djei.ie/science/ipr/crc_consultation_paper.pdf (20 12). Commission of the European Communities . DG INTERNAL MARKET AND SERVICES WORKING PAPER : First evaluation of Directive 96/9/EC on the legal protection of databases (2015) Davison J. M. & Hugenholtz B. P. , Football fixtures, horse races and spin - offs: the ECJ domesticates the database right, EIPR 2005, Issue no. 3. Depreeuw S. & Hubin J.B. , J. - P., TRIAILLE (ed.), Study on the territoriality of the making available right. Localisation of the act of making available to the public and its consequence in the Application Of Directive 2001/29/EC On Copyright And Related Rights In The Information Society. Depreeuw S., De uitzondering voor « tijdelijke technische reproductiehandelingen » na Infopaq I en II en Premier League, A&M, 76 - 85 (2013). Text and Data Mining (focused on EU) Vasiliki Karamousali, January 2016 Derclaye E ., The Legal Protection of Databases: A Comparative Analysis, Edward Elgar (2008). European Commission , “Report from the Expert Group, Standardisation in the area of innovation and technological development, notably in the field of Text and Data Mining” http://ec.europa.eu/research/innovation - union/pdf/TDM - report_from_the_expert_group - 042014.pdf (2014). Europe PubMed Central labs , Copyright, http://europepmc.org/Copyright . Fan W., Wallace L., Rich S. & Zhang Z ., Tapping into the Power of Text Mining, (2005). Filippov S. , “Mapping the Use of Text and Data mining in Academic and Research Communities in Eur ope”, Lisbon Council, Brussels, file:///C:/Users/Chris/Downloads/LISBON_COUNCIL_Mapping_Text_and_Data_Mining. pdf . Frawley J.W., Piatetsky - Shapiro G. & Matheus J.C., Knowledge Discovery in Databases: An Overview (1992). Guadamuz A. & Cabell D. , “Data Mining in UK Higher Education Institutions: Law and Policy”, 2014, Queen Mary Intellectual Property Review 4:1, 3 - 29 http://ssrn.com/abstract=2446447 (2014). Guadamuz A. & Cabell D. , “Analysis of UK/EU Law on Data Mining in Higher Education Institutions” http://ssrn.com/abstract=2254481 (2013). Guernsey L. , Digging For Nuggets Of Wisdom (2013). Guibault L. , “Trouver le diamant dans la mine de données ou les implications juridiques de l’exploration de données”, Documentaliste – Sciences de l’information, vol. 51, n. 2, http://www.ivir.nl/publicaties/download/1404 (2014). Guibault L. , “Intellectual property rights’ obstructions to text and data mining”, http://www.youtube.com/watch?v=hfp kJs6GJUgwatch?v=hfpkJs6GJUg . Hargreaves I. , “Digital Opportunity, A Review of Intellectual Property and Growth” http://www.ipo.gov.uk/ipreview - finalreport.pdf (2011). Hearst A. M , What is Text Mining?,SIMS, UC Berkeley (2003). Hearst A. M ., Untangling Text Data Mining (2012). Hellwig F. , “Change in Copyright Law as a Market Intervention to Realize the Welfare Potential of Text Mining in Scientific Research” http://ssrn.com/abstract=2386238 (2013). Text and Data Mining (focused on EU) Vasiliki Karamousali, January 2016 Hillary K. Miller . Securing Text and Data Mining Rights for Researchers in Academic Libraries IFLA , “Statement on data mining”, http://www.ifla.org/publications/ifla - statement - on - text - and - data - mining - 2013. International Council for Scientific Information (ICSTI) , Text and Data Mining (2009). JISC Collections , http://www.jisc - collections.ac.uk/nesli2/NESLi2 - Model - License JIS C , Designing a licensing strategy for sharing and re - use of geospatial data in the academic sector (2007). JISC , Use Case Compendium of Derived Geospatial Data (2005). Jusoh S. & Alfawareh M. H. , Techniques, Applications and Challenging Issue in Text Min ing (2012). Kretschmer M., Deazley R., Edwards L., Erickson K., Schafer B., Zizzo D. J. , “The European Commission’s Public Consultation on the Review of EU Copyright Rules: A Response by the CREATe Centre” European Intellectual Property Review, 36(9), 547 - 553, http://ssrn.com/abstract=2509186 (2014). Langlais P. C. & Maurel L. (Savoirscom1) , “Quel statut légal pour le content mining? – synthèse de Savoirscom1, consécutive à l’audition du 15 janvier 2013 par la Conseil Supérieur de la Propriété Littéraire et Artistique”, http://www.savoirscom1.info/wp - content/uploads/2014/01/Syn the%CC%80se - sur - le - statut - le%CC%81gal - du - content - mining.pdf . Liber Europe , “The Perfect Swell: defining the ideal conditions for the growth of text and data mining in Europe. A report from a workshop held at the British Library” http://libereurope.eu/wp - content/uploads/TDM%20Workshop%20Report%5B1%5D.pdf (2013). Linder B. & Shapiro T. , Copyright in the Information Society, Edward Elgar, Cheltenham (2011). Martin J. - CSPLA , “Mission sur l’exploration de données (“Text and Data mining”)” (2014), http://www.savoirscom1.info/wp - content/uplo ads/2014/10/Rapport_Text_and_Data_Mining_exploration_de_donn%C3%A9 es.pdf Maximilian Haeussler, Jennifer Molloy,Peter Murray - Rust and Charles Oppenheim Responsible Content Mining , June 16, 2015 Text and Data Mining (focused on EU) Vasiliki Karamousali, January 2016 Michaux B. , Droit des bases de données, Kluwer (2005). Mooney J. R. & Bunescu R. , Mining Knowledge from Text Using Information Extraction, http://www.cs.utexas.edu/~ai - lab/pub - view.php?PubID=51469 . Miner G., D. Delen, J. Elder, A. Fast, T. Hill, and R. Nisbet Practical Text Mining and Statistical Analysis for Non - Structured Text Data Applications , Elsevier, January 2012 OECD, “Exploring data - driven innovation and new sources of growth: mapping the policy issues raised by Big Data”, OECD Dig ital Economy Paper No 222 (2013). Okerson A. , Text & Data Mining - A Librarian Overview (2013). Reichman H. J. & Okedigl L. R. , When Copyright Law and Science Collide: Empowering Digitally Integrated Research Methods on a Global Scale, Minn. L. Rev., I.I. C., vol.43 http://scholarship.law.duke.edu/cgi/viewcontent.cgi?article=5351&context=faculty_schola rship (2012). Rust M. P , The Right to Read Is the Right to Mine, Open Knowledge Foundation Blog http://bit.ly/O75Rwd (2012) Reilly F.Bernard, Jr. Text Mining and Libraries: Summary of a conversation with Publishers Science Europe Working Group . Text and Data Mining a nd the Need for a Science - friendly EU Copyright Reform , April 2015 Smit E. & Van Der Graaf M ., Journal article mining: A research study into Practices, Policies, Plans.....and Promises (2011). Smit E. & Van der Graaf M. , “Journal article mining: the scholar ly publishers’ perspective”, Learned Publishing vol. 25 no. 1, 36 (2012). Stamatoudi I. , Cultural Property Law and Restitution. A Commentary to International Conventions and European Union Law, Edward Elgar Publishing, (2011). Stamatoudi I. (ed), Copyright and the Digital Agenda for Europe: Current Regulations and Challenges for the Future, Sakkoulas Publications (2015). Stamatoudi I. & Torremans P., (eds) Copyright in the New Digital Environment: The Need to Redesign Copyright, Sweet & Maxwell (2000). Stam atoudi I. & Torremans P. , European Union Copyright Law, Edward Elgar Publishing (2014). Text and Data Mining (focused on EU) Vasiliki Karamousali, January 2016 STM , Statement Sample License Text Data Mining, http://www.stm - assoc.org/text - and - data - mininghttp://www.stm - assoc.org/text - and - data - mining - stm - statement - sample - licencestm - statement - sample - license . STM , Text and Data Mining Sample Subscription (2012). STM , S ample License for Text and Data Mining of subscribed copyright - protected works and materials (2013). STM , “Submission on the Issues Paper, Copyright and the Digital Economy (Australia) (2012). STM , Text and Data Mining Sample Subscription, http://www.stmhttp://www.stm - assoc.org/2012_03_15_Sample_Licence_Text_Data_Mining.pdfassoc.org/2012_03_15_Sam ple_Li cense_Text_Data_Mining.pdf (2012). Strowel A. & Trialle P.J , Le droit d’auteur, du logiciel au multimédia : droit belge, droit européen, droit comparé, Cahiers du Centre de Recherches Informatique et Droit (CRID) (1997). Triaille J. (de Woolf partner), w ith de Meeus d'Argenteuil J. and with the collaboration of de Francquen A. , “Study on the legal framework of text and data mining (TDM)”, http://ec.europa.eu/inter nal_market/copyright/docs/studies/1403_study2_en.pdf . Triaille J., Study on the Application of D. 2001/29/EC on Copyright and Related Rights in the InfoSoc Directive, 2013. Truyens M. & Van Eecke P. , “Legal aspects of text mining”, to be published in CLSR http://www.lrec - conf.org/proceedings/lrec2014/pdf/452_Paper.pdf (2014) Universities UK, UK Higher Educational International Unit , “European Commission's Stakeholder Dialogue “ Licenses for Europe and Text and Data Mining””, http://www.international.ac.uk/media/2243028/Briefing%20 - %20Lic enses%20for%20Europe%20and%20Text%20and%20Data%20MiningREVISED.pdf . Van Noorden R. , Trouble at the text mine (2012). Walter W. & Von Lewinsky S. V ., European Copyright Law: A Commentary, Oxford University Press (2010). Weiss M.S, Indurkhya N. & Zhang T., Fundamentals of Predictive Text Mining, Texts in Computer Sciences, Springer (2010). X. , Questions, What are the arguments in favor of using ELT process over ETL?, Stackexchange.com, http://dba.stackexchange.com/questions/19242/what - are - the - arguments - inhttp://dba.stackexchange.com/q uestions/19242/what - are - the - Text and Data Mining (focused on EU) Vasiliki Karamousali, January 2016 arguments - in - favor - of - using - elt - process - over - etlfavor - of - using - elt - process - over - etl
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heal.recordProvider
School of Economics, Business Administration and Legal Studies, MA in Art, Law and Economy
el
heal.publicationDate
2016-02-17
heal.abstract
ABSTRACT The following dissertation refers to the Text and Data Mining (TDM) and certain basic issues about the related legal framewo rk in the European Union. It is important to start our analysis from the definitions that describe better TDM and a small distinction in order to understand better the real meaning both of text and data mining. The present and the future are the informatio n society and the use of all the available data. I nformation may be available in various ways, from freely available on the Web and largely av ailable on social networks, to available from publishers to potential users after the acceptance of special terms and conditions. Through a short mention to the h istory of TDM it would be understood that data analysis - as some referred to TDM - is a new, innovative development in the technological world. Information about Big data and the levels of access to information for analysis purposes are a significant step before moving on to the main analysis of this paper. In order for us to understand the legal issues that arise from text and data mining process, we hav e to know the way of doing TDM: the available content and the extraction of the new information. The main analysis will focus on the InfoSoc Directive ( 2001/29 /EC ) and Database Directive ( 96/9/EC) as the basic legal framework behind TDM. The exceptions that are referred to the paper are of major importance. Licen sing is another option to the regulation of relations between stakeholders, both wit h positive and negative options, as it will be referred in the text below. Finally, it is expected that all the abovementioned affect the influence of TDM in our world. Eu rope seems to be in a much lower level of using TDM than USA and the reasons have to do - in a big part - with the existing legal protection
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heal.tableOfContents
CONTENTS: Abstract Introduction a. Definition b. Brief history of TDM c. Big Data d. The way to do TDM Access to data a. Levels of access b. PSI, Open Access Applicable Law a. InfoSoc Directive b. Databa se Directive c. Exceptions The effect to the use of TDM Low rates of TDM usage in European Union Conclusions
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heal.advisorName
Stamatoudi, Eirini
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heal.committeeMemberName
STAMATOUDI, EIRINI
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heal.committeeMemberName
KOMNIOS
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heal.committeeMemberName
PAPADOPOULOS
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
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heal.numberOfPages
33
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