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Scharl A., Stern Hermann, Weichselbraun A.

Annotating and Visualizing Location Data in Geospatial Web Applications

17th International World Wide Web Conference (WWW-2008), Proceedings of the First International Workshop on Location and the Web (LocWeb 2008), 2008

This paper presents the IDIOM Media Watch on Climate Change (, a prototypical implementation of an environmental portal that emphasizes the importance of location data for advanced Web applications. The introductory section outlines the process of retrofitting existing knowledge repositories with geographical context information, a process also referred to as geotagging. The paper then describes the portal’s functionality, which aggregates, annotates and visualizes environmental articles from 150 Anglo-American news media sites. From 300,000 news media articles gathered in weekly intervals, the system selects about 10,000 focusing on environmental issues. The crawled data is indexed and stored in a central repository. Geographic location represents a central aspect of the application, but not the only dimension used to organize and filter content. Applying the concepts of location and topography to semantic similarity, the paper concludes with discussing information landscapes as alternative interface metaphor for accessing large Web repositories.

Dickinger A., Scharl A., Stern Hermann, Weichselbraun A., Wöber K.

Acquisition and Relevance of Geotagged Information in Tourism

Information and Communication Technologies in Tourism 2008, Proceedings of the International Conference in Innsbruck, Austria., Frew, A., Springer, 2008

In the case of tourism applications, it is particularly evident that geography is emerging as a fundamental principle for structuring Web resources. Recent improvements in semantic and geographic Web technology, often referred to as the Geospatial Web, acknowledge the relevance of adding location metadata to existing databases and accessing the vast amounts of information stored in these databases via geospatial services. This paper outlines the acquisition of geospatial context information, describes usage scenarios and real-world applications in the tourism industry, and presents an automated software tool for annotating large collections of Web documents automatically. The quality of this tool is tested based upon Web pages from the Austrian National Tourism Organization. Initial results are encouraging and help define a roadmap for further improving the automated tagging of tourism resources.

Scharl A., Weichselbraun A., Stern Hermann

A Geospatial Web Application for Communicating Climate Change

11th International Conference on Geographic Information Science (AGILE-2008), Semantic Web meets Geospatial Applications Workshop, AGILE Council, 2008


Sabol Vedran, Scharl A.

Visualizing Temporal-Semantic Relations in Dynamic Information Landscapes

GeoVisualization of Dynamics, Movement and Change Workshop at the AGILE 2008 Conference, Spain, 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

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).
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