Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2007

Juffinger A., Neidhart T., Granitzer Michael, Kern Roman, Weichselbraun A., Wohlgenannt G., Scharl A.

Distributed Web2.0 Crawling for Ontology Evolution

Proc.of 2nd IEEE International Conference on Digital Information Management, Lyon, 2007, 2007

Konferenz
2007

Scheir Peter, Granitzer Michael, Lindstaedt Stefanie

Evaluation of an Information Retrieval System for the Semantic Desktop using Standard Measures from Information Retrieval

Proceedings of Lernen-Wissen-Adaption, Halle/Saale, Germany, September 24-26, 2007, 2007

Konferenz
2007

Sabol Vedran, Granitzer Michael, Kienreich Wolfgang

Fused Exploration of Temporal Developments and Topical Relationships in Heterogeneous Data Sets

3rd International Symposium of Knowledge and Argument Visualization. Proceedings of IV07, 11th International Conference Information Visualisation, IEEE Computer Society, London, UK, 2007

Konferenz
2007

Strohmaier M., Lux M., Granitzer Michael, Scheir Peter, Liaskos S., Yu E.

How Do Users Express Goals on the Web? - An Exploration of Intentional Structures in Web Search

We Know 07 International Workshop on Collaborative Knowledge Management for Web Information Systems, in conjunction with WISE 07, , Nancy, France, 2007

Konferenz
2007

Rath Andreas S., Kröll Mark, Lindstaedt Stefanie , Granitzer Michael

Low-Level Event Relationship Discovery for Knowledge Work Support

Proccedings of the 4th Conference on Professional Knowledge Management WM2007, ProKW2007, 28. - 30. März 2007, Potsdam, Germany, Gronau, N., GITO-Verlag, Berlin, 2007

Konferenz
2007

Lux M., Granitzer Michael, Kern Roman

Some Aspects of Broad Folksonomies

TIR 07 Text Information Retrieval Workshop Procceedings of 18th International Conference on Database and Expert Systems Applications (DEXA 07), IEEE Computer Society, Regensburg, Germany, 2007

Konferenz
2007

Kröll Mark, Rath Andreas S., Weber Nicolas, Lindstaedt Stefanie , Granitzer Michael

Task Instance Classification via Graph Kernels

Mining and Learning with Graphs (MLG 07), Florenz, Italy, August 1-3, 2007, 2007

Journal
2007

Sabol Vedran, Gütl Christian, Neidhart T., Juffinger A., Klieber Hans-Werner, Granitzer Michael

Visualization Metaphors for Multi-modal Meeting

Workshop Multimedia Semantics - The Role of Metadata (WMSRM 07), Proceedings Band "Aachener Informatik Berichte", Aachen, 2007

Konferenz
The MISTRAL system, a service oriented architecture for semanticextraction of multimedia data from meeting recordings is described shortly. Itimproves on other similar systems by extracting a variety of semantic metadatafrom one media type and integrating it with concepts derived from other mediatypes, as well as by adding inference capabilities to resolve ambiguities and furtherenrich extracted data. On top of this state-of-the-art extraction functionality anumber of semantic-based, cross-modal visual applications for exploration andretrieval of extraction results were developed. Three selected applications,implemented upon the MISTRAL’s semantic application architecture, arepresented and described into detail in this paper.
2007

Granitzer Michael, Scharl A., Weichselbraun A., Neidhart T., Wohlgenannt G.

Automated Ontology Learning and Validation using Hypothesis Testing

Proceedings of the Atlantic Web Intelligence Conference AWIC 200, Advances in Soft Computing, Springer, 2007

Konferenz
2007

Weichselbraun A., Wohlgenannt G., Scharl A., Granitzer Michael, Neidhart T., Juffinger A.

Applying Vector Space Models to Ontology Link Type Suggestion

Proceedings of 4th IEEE International Conference on Innovations in Information Technology, Dubai, 2007, 2007

Konferenz
2007

Scheir Peter, Granitzer Michael, Lindstaedt Stefanie

Evaluating an Information Retrieval System for the Semantic Desktop using Standard Measures from Information Retrieval

Lernen - Wissen - Adaption LWA 2007, 2007

Konferenz
Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrates how standard measures from information retrieval research are employed for evaluation.
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