Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2008

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

Discovery and evaluation of non-taxonomic relations in domain ontologies

International Journal of Metadata, Semantics and Ontologies, 2008

Konferenz
The identification and labelling of non-hierarchical relations are among the most challenging tasks in ontology learning. This paper describes a bottom-up approach for automatically suggesting ontology link types. The presented method extracts verb vectors from semantic relations identified in the domain corpus, aggregates them by computing centroids for known relation types and stores the centroids in a central Knowledge Base (KB). Comparing verb vectors extracted from unknown relations with the stored centroids yields link-type suggestions. Domain experts evaluate these suggestions, refining the KB and constantly improving the components accuracy. Using four sample ontologies on ’energy sources’, this paper demonstrates how link-type suggestion aids the ontology design process. It also provides a statistical analysis on the accuracy and average ranking performance of Batch Learning (BL) vs. Online Learning (OL).
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

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
2006

Granitzer Gisela, Neidhart T., Lux M.

Learning Term Spaces based on Visual Feedback

TAKMA Workshop Procceedings of 17th International Conference on Database and Expert Systems Applications (DEXA 06), IEEE Computer Society, Krakaw, Polen, 2006

Konferenz
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