In the area of copyright law, EU and national policy makers presently discuss the need to adopt a new copyright limitation for the purpose of text and data mining. This new provision would make text and data mining activities ‘immune’ against copyright claims. Text and data mining could be carried out without an obligation to ask permission from copyright owners and clear rights. This copyright immunity would thus facilitate the mining of copyrighted material, such as literary, scientific and journalistic texts, blogs and tweets.
Against this background, the project aims to provide a detailed description of the functioning of text and data mining, and the different players and acts of use involved. It also provides a legal analysis of the different acts of use in the light of present copyright legislation to clarify in how far text and data mining may amount to copyright infringement.
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Martin Sneftleben
A typical data mining project seeks to answer questions such as “which prospects will respond to offer X?” “which credit applicants will repay their loans?” or “who will defect to the competition?” on the basis of databases with examples of previous interactions. But often the resulting models do not perform optimally. For this reason, data mining practitioners turn to methods such as ROC curves to assess their models. This project aims to develop optimisation methods for machine learning approaches such as SVMs that do allow for this.
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Evert Haasdijk
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Sandjai Bhulai
A great challenge of reading the Hebrew poetry of the Psalms is the identification of participants. The major cause of this problem is a continual shift in person, number and gender (so-called PNG-shifts) in the text. In this pilot project we used the annotated database of the Hebrew Bible prepared by the Eep Talstra Centre for Bible and Computer to experiment with a systematic analysis of PNG-shifts, the demarcation of direct speech sections (e.g. an oracle by God is often not introduced by such but should be inferred by a change of speaker [God] into addressee [human]), and the identification of participants.
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Christiaan Erwich
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Wido van Peursen
Knowledge sharing is a key influence on development of the rural poor, with ICT as a critical enabler, providing for instance critical market data or weather information to sustenance farmers, through low-tech, mobile or radio technologies. In this project, we take a Linked Data approach, thereby adding a new dimension to ICT4D research and practice. Linked Data allows for flexible, multi-layered knowledge sharing, independent of infrastructure and interfaces.
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Stefan Slobach
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Julie Ferguson
When it comes to health, the online debate can be very intense, involving a range of actors, from government and science institutions to citizens voicing opinions in (organized) patient forums, blogs, and tweets. This project will make a first investigation to detect belief system dynamics in online trust networks, aiming to study how beliefs converge, collide, and are countered, and how (dis)trust develops within and between trust networks over time.
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Network Institute Dr. Ivar Vermeulen, Director T: +31 20 509 9190 E: I.E.Vermeulen@vu.nl
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Piek Vossen
Electronic patient records are a rich resource of current practice in the health domain; practitioners meticulously record how they diagnosed and treated their patients. Often these records provide a more uptodate overview of treatment patterns than medical guidelines, as medical practice often differs for good reasons from the idealised guidelines. In this project, we will create a structured graph representation of medical practitioners’ actions in response to observing particular symptoms. This graph will allow us to analyse the types of treatments practitioners choose, and to compare these treatments to those proposed in guidelines.
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Marieke van Erp
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Annette Teije
Enterprise Systems (ES) are large, integrated information systems that combine various ICT functions within and between organizations. Implementation of these systems is costly and time-consuming, and often fails. How can Enterprise Systems seemingly both fail and succeed?
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Marijn Plomp
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Hajo Reijers
Historic research has gone through significant changes over time, in an effort to produce the most objective presentations of the past. Facts may remain the same, but perspectives in the way historians describe people and events change. The angle of analysis evolves hand in hand with the change of time, society and public opinion. This project will investigate how these changes can be traced in historic text.
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Miel Groten
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Serge ter Braake