Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2014

Stegmaier Florian, Seifert Christin, Kern Roman, Höfler Patrick, Bayerl Sebastian, Granitzer Michael, Kosch Harald, Lindstaedt Stefanie , Mutlu Belgin, Sabol Vedran, Schlegel Kai

Unleashing semantics of research data

Specifying Big Data Benchmarks, Springer, Berlin, Heidelberg, 2014

Buch
Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.
2010

Granitzer Michael

Enterprise Search

Lexikon der Bibliotheks- und Informationswissenschaft, Umlauf, K., Gradmann, S. , Anton Hiersemann Verlag, 2010

Buch
2009

Kern Roman, Granitzer Michael, Lindstaedt Stefanie , Ghidini C., Scheir Peter

ARS/SD: An Associative Retrieval Service for the Semantic Desktop

Networked Knowledge - Networked Media Integrating Knowledge Management, New Media Technologies and Semantic Systems, Studies in Computational Intelligence , Pellegrini, T., Auer, S., Tochtermann, K., Schaffert, S., Springer, 2009

Buch
While it is agreed that semantic enrichment of resources wouldlead to better search results, at present the low coverage of resources onthe web with semantic information presents a major hurdle in realizing thevision of search on the Semantic Web. To address this problem we investigatehow to improve retrieval performance in a setting where resources aresparsely annotated with semantic information. We suggest employing techniquesfrom associative information retrieval to find relevant material, whichwas not originally annotated with the concepts used in a query. We presentan associative retrieval service for the Semantic Desktop and evaluate if theuse of associative retrieval techniques increases retrieval performance.Evaluation of new retrieval paradigms, as retrieval in the Semantic Web oron the Semantic Desktop, presents an additional challenge as no off-the-shelftest corpora for evaluation exist. Hence we give a detailed description of the
2008

Sabol Vedran, Kienreich Wolfgang, Granitzer Michael

Visualisation Techniques for Analysis and Exploration of Multimedia Data

Multimedia Semantics - The Role of Metadata, ISBN: 978-3-540-77472-3, Granitzer, M., Lux, M., Spaniol, M., Springer, 2008

Buch
2008

Kern Roman, Granitzer Michael, Pammer-Schindler Viktoria

Extending Folksonomies for Image Tagging

WIAMIS 2008 , Special Session on Multimedia Metadata Management & Retrieval, IEEE Computer Society, Klagenfurt, 2008

Buch
2008

Granitzer Michael

KnowMiner - Konzeption und Entwicklung eines generischen Wissenserschließungsframeworks

Vdm Verlag Dr. Mueller (April 2008), 2008

Buch
2008

Brunie L., Bailer Werner, Doeller M., Granitzer Michael, Klamma R., Kosch H., Lux M., Spaniol M.

Multimedia Metadata Standards

"Encyclopedia of Multimedia " 2nd edition, Springer, Berlin, 2008

Buch
2008

Granitzer Michael, Lux M., Spaniol M.

Multimedia Semantics - The Role of Metadata

Studies in Computational Intelligence , Vol. 101, Springer, Berlin, 2008

Buch
2006

Granitzer Michael

Statistische Verfahren der Textanalyse

Semantic Web - Wege zur vernetzten Wissensgesellschaft, Pellegrini, T., Blumauer, A., Springer, Berlin, Germany, 2006

Buch
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