88 results
Search Results
Now showing 1 - 10 of 88
- ItemRenegotiating Open-Access-Licences for Scientific Films(Amsterdam : IOS Press, 2016) Brehm, ElkeScientific publishing is not limited to text any more, but more and more extends also to digital audio-visual media. Thus services for publishing these media in portals designed for scientific content, oriented towards the demands of scientists and which comply with the requirements of Open Access Licenses must be provided. Among others, it is the goal of the Competence Centre for Non-textual-materials of TIB to collect, archive and provide access to scientific audio-visual media in the TIB AV-Portal under the best possible (open) conditions. This applies to older films, as for example the film collection of the former IWF Knowledge and Media gGmbH i. L. (IWF) and to new films. However, even if the acquisition of the necessary rights for audio-visual media is complex, the renegotiation of Open-Access- Licenses for older films is very successful. This paper focuses on the role of Open Access in the licensing strategy of TIB regarding scientific films, the respective experience of TIB and the presentation in the AV-Portal, but also touches upon prerequisites and procedures for the use of Orphan Works.
- ItemOverview of Chinese specialist literature in the field of Science and Technology in Germany(2015) Koch, SarahThe main target audience of the libraries special collections of East Asian literature is the scholars of humanities and social sciences, just like the sinological libraries are normally considered for the scholars of Chinese Studies. But in recent years one can notice a growing interest in East Asia, especially in China, in the field of science and technology. The increasing international economic relations between China and Germany are raising the demand for engineers who have a broad knowledge of China and the technical developments of both countries. In order to achieve an overview of the rapid technical and scientific developments in China, it is assumed that specialized language skills are required to be able to access important information. As the National Library for all areas of engineering and natural sciences, the German National Library of Science and Technology (TIB) takes the responsibility to provide research and industry with specialist literature and information – nationally and internationally. Therefore the TIB also built up the most comprehensive collection of modern Chinese literature in science and technology in Germany. As to understand how the library can provide a good support for the much more heterogeneous user group of Chinese literature in this field as well, it is necessary to learn more about their requirements. The purpose of this paper is to get an overview of the Chinese research output in science and technology by analyzing international databases, and to examine the target audience of this kind of literature. It is expected that it will not only show the growing awareness and use of Chinese technical and scientific publications by engineers in Germany, but also demonstrate the importance of access to these publications in terms of scholarly exchange for both German and Chinese scholars in Germany.
- ItemEstimating the information gap between textual and visual representations(New York City : Association for Computing Machinery, 2017) Henning, Christian; Ewerth, RalphPhotos, drawings, figures, etc. supplement textual information in various kinds of media, for example, in web news or scientific pub- lications. In this respect, the intended effect of an image can be quite different, e.g., providing additional information, focusing on certain details of surrounding text, or simply being a general il- lustration of a topic. As a consequence, the semantic correlation between information of different modalities can vary noticeably, too. Moreover, cross-modal interrelations are often hard to describe in a precise way. The variety of possible interrelations of textual and graphical information and the question, how they can be de- scribed and automatically estimated have not been addressed yet by previous work. In this paper, we present several contributions to close this gap. First, we introduce two measures to describe cross- modal interrelations: cross-modal mutual information (CMI) and semantic correlation (SC). Second, a novel approach relying on deep learning is suggested to estimate CMI and SC of textual and visual information. Third, three diverse datasets are leveraged to learn an appropriate deep neural network model for the demanding task. The system has been evaluated on a challenging test set and the experimental results demonstrate the feasibility of the approach.
- ItemSCOAP3/SCOAP3-DH – Gold Open Access in High Energy Physics(Amsterdam : IOS Press, 2016) Kutz, AngelikaSCOAP3 is a global partnership which converts high-quality subscription journals in the field of High-Energy Physics to Open Access through redirection of existing subscription funds. Since January 1, 2014 the SCOAP3 Gold Open Access Repository is providing free access to scientific articles in high quality journals in the field of High Energy Physics. This article describes this international pilot which flips the current subscription-based financing of scientific publication to an output-based financing model (fair share). This includes a description of the unique mechanisms of SCOAP3 as well as its governance structure and short view on the national German contributing partners, especially the German universities (SCOAP3-DH).
- ItemSurvey: Open Science in Higher Education(Zenodo, 2017) Heck, Tamara; Blümel, Ina; Heller, Lambert; Mazarakis, Athanasios; Peters, Isabella; Scherp, Ansgar; Weisel, LuzianBased on a checklist that was developed during a workshop at OER Camp 2016 and presented as a Science 2.0 conference 2016 poster [1], we conducted an online survey among university teachers representing a sufficient variety of subjects. The survey was online from Feb 6th to March 3rd 2017. We got 360 responses, whereof 210 were completes, see raw data [2]. The poster is presented at Open Science Conference, 21.-22.3.2017, Berlin.
- ItemÜberblick über den aktuellen Stand der Forschungsberichterstattung: Integration, Standardisierung, verteilte Informationssysteme(Karlsruhe : KIT, 2015) Riechert, Mathias; Tobias, Regine; Heller, Lambert; Blümel, Ina; Biesenbender, SophieDieses Diskussionspapier gibt einen Überblick über die Entwicklung der Forschungsberichterstattung im Wissenschaftssystem. Dabei werden aktuelle Entwicklungen von integrierten Forschungsinformationssystemen und aktuelle Standardisierungsinitiativen aufgezeigt und ein Einblick in ein Umsetzungsprojekt eines verteilten Systems gegeben. Der Beitrag schließt in mit einer Diskussion von Weiterentwicklungsszenarien verteilter Forschungsinformationssysteme im Wis-senschaftssystem.
- ItemOn the effects of spam filtering and incremental learning for web-supervised visual concept classification(New York City : Association for Computing Machinery, 2016) Springstein , Matthias; Ewerth, RalphDeep neural networks have been successfully applied to the task of visual concept classification. However, they require a large number of training examples for learning. Although pre-trained deep neural networks are available for some domains, they usually have to be fine-tuned for an envisaged target domain. Recently, some approaches have been suggested that are aimed at incrementally (or even endlessly) learning visual concepts based on Web data. Since tags of Web images are often noisy, normally some filtering mechanisms are employed in order to remove ``spam'' images that are not appropriate for training. In this paper, we investigate several aspects of a web-supervised system that has to be adapted to another target domain: 1.) the effect of incremental learning, 2.) the effect of spam filtering, and 3.) the behavior of particular concept classes with respect to 1.) and 2.). The experimental results provide some insights under which conditions incremental learning and spam filtering are useful.
- ItemService durch Kompetenzbündelung - Das institutionelle Konzept zum Forschungsdatenmanagement der Leibniz Universität Hannover(Heidelberg: heiBOOKS, 2017) Meyer, Anneke; Neumann, JannaDie Leibniz Universität Hannover hat den bedarfsgerechten Auf- und Ausbau des Unterstützungsangebots zum Umgang mit Forschungsdaten als strategisches Ziel definiert, um den eigenen Forschungsstandort zu stärken. Fachpersonal aus dem Dezernat Forschung, den Leibniz Universität IT Services (LUIS) und der Technischen Informationsbibliothek (TIB) haben dazu ein institutionelles Konzept entworfen, das seit Dezember 2016 umgesetzt wird. Ausgangspunkt des Konzepts bildete eine Umfrage zum Umgang mit Forschungsdaten an der Leibniz Universität Hannover, die durch qualitative Interviews ergänzt wurde. Das institutionelle Konzept umfasst folgende Elemente: Etablierung einer Policy zum Umgang mit Forschungsdaten für die gesamte Universität, Beratung und Schulung für Wissenschaftlerinnen und Wissenschaftler und die Service-Einrichtungen, Auf- und Ausbau eines institutionellen Datenrepositoriums und Entwicklung von Schnittstellen zum Forschungsinformationssystem und zum Volltextrepositorium, Universitätsübergreifende Kooperation & Vernetzung. Die vier Elemente befinden sich in einem unterschiedlichen Umsetzungsstand. Bereits seit 2014 führen die beteiligten Institutionen gemeinsam Beratungen und Schulungen durch und nutzen dafür zur Qualitätssicherung und gegenseitigen Information gemeinsame Dokumentationssysteme. In diesem Bereich konnten in den letzten zwei Jahre Erfahrungen gesammelt werden und Prozesse entsprechend optimiert werden. Die Herausforderung des Ansatzes an der Leibniz Universität besteht darin, ein einrichtungsübergreifendes Service-Angebot vorzuhalten und kollaborativ weiter zu entwickeln. Dadurch ist gewährleistet, dass Kompetenzen effektiv gebündelt werden und sich keine Parallelstrukturen an einzelnen Einrichtungen bilden. Durch die gemeinsam entwickelten Services werden Wissenschaftlerinnen und Wissenschaftler mit einer Stimme und auf mehreren Ebenen zum aktiven und bewussten Umgang mit Forschungsdaten angeregt. In diesem Artikel werden die ersten Erfahrungen in der Umsetzung der einzelnen Elemente des institutionellen Konzepts sowie in der Zusammenarbeit beleuchtet. Außerdem wird ein Ausblick auf die zukünftig angestrebte Entwicklung gegeben.
- ItemConsortial certification processes – The Goportis digital archive. A case study(Bern : Swiss National Library, 2016) Friese, Yvonne; Gerdes, Thomas; Schwab, Franziska; Bähr, ThomasSubject Libraries. One key area of collaboration is digital preservation. The Goportis Digital Archive is jointly used by the consortial partners. As part of their quality management the partners strive to obtain certifications for trustworthy digital repositories. The Goportis Consortium successfully applied for the Data Seal of Approval (DSA) [1] and is currently working on the application for the nestor Seal [2]. The poster illustrates the collaboration of the Goportis partners during the certification process (distribution of tasks, time frame, etc.). This way it could serve as best-practice example for other institutions interested in consortial certification.
- ItemSemi-supervised identification of rarely appearing persons in video by correcting weak labels(New York City : Association for Computing Machinery, 2016) Müller, Eric; Otto, Christian; Ewerth, RalphSome recent approaches for character identification in movies and TV broadcasts are realized in a semi-supervised manner by assigning transcripts and/or subtitles to the speakers. However, the labels obtained in this way achieve only an accuracy of 80% - 90% and the number of training examples for the different actors is unevenly distributed. In this paper, we propose a novel approach for person identification in video by correcting and extending the training data with reliable predictions to reduce the number of annotation errors. Furthermore, the intra-class diversity of rarely speaking characters is enhanced. To address the imbalance of training data per person, we suggest two complementary prediction scores. These scores are also used to recognize whether or not a face track belongs to a (supporting) character whose identity does not appear in the transcript etc. Experimental results demonstrate the feasibility of the proposed approach, outperforming the current state of the art.