Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

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

Granitzer Michael

KnowMiner - Konzeption und Entwicklung eines generischen Wissenserschließungsframeworks

Vdm Verlag Dr. Mueller (April 2008), 2008

Buch
2008

Granitzer Michael, Granitzer Gisela, Lindstaedt Stefanie , Rath Andreas S., Groiss W.

Automating Knowledge Transfer and Creation in Knowledge Intensive Business Processes

Proceedings of the First Workshop on Business Process Management and Social Software BPMS2 08, September 1, 2008, Mailand, Italien, Springer, 2008

It is a well known fact that a wealth of knowledge lies in thehead of employees making them one of the most or even the most valuableasset of organisations. But often this knowledge is not documented andorganised in knowledge systems as required by the organisation, butinformally shared. Of course this is against the organisation’s aim forkeeping knowledge reusable as well as easily and permanently availableindependent of individual knowledge workers.In this contribution we suggest a solution which captures the collectiveknowledge to the benefit of the organisation and the knowledge worker.By automatically identifying activity patterns and aggregating them totasks as well as by assigning resources to these tasks, our proposed solutionfulfils the organisation’s need for documentation and structuring ofknowledge work. On the other hand it fulfils the the knowledge worker’sneed for relevant, currently needed knowledge, by automatically miningthe entire corporate knowledge base and providing relevant, contextdependent information based on his/her current task.
2008

Granitzer Gisela, Granitzer Michael

Die clevere Art der Suche

e-commerce magazin, Ausgabe 7, 2008, 2008

Konferenz
2008

Sabol Vedran, Andrews K., Kienreich Wolfgang, Granitzer Michael

Text Mapping: Visualising Unstructured, Structured, and Time-Based Text Collections

Intelligent Decision Technologies, IOS Press, 2008

Journal
2008

Kump Barbara, Kienreich Wolfgang, Granitzer Gisela, Granitzer Michael, Seifert C.

On the beauty and usability of tag clouds

Proceedings of the 12 International Conference on Information Visualization (IV2008), London, UK, July 9-11, 2008, IEEE Computer Society Press, 2008

Konferenz
2008

Granitzer Michael, Lux M., Spaniol M.

Multimedia Semantics - The Role of Metadata

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

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, Kröll Mark, Seifer Christin, Rath Andreas S., Weber Nicolas, Dietzel O., Lindstaedt Stefanie

Analysis of Machine Learning Techniques for Context Extraction

Proceedings of 2008 International Conference on Digital Information Management (ICDIM08), IEEE Computer Society Press, 2008

Konferenz
’Context is key’ conveys the importance of capturing thedigital environment of a knowledge worker. Knowing theuser’s context offers various possibilities for support, likefor example enhancing information delivery or providingwork guidance. Hence, user interactions have to be aggregatedand mapped to predefined task categories. Withoutmachine learning tools, such an assignment has to be donemanually. The identification of suitable machine learningalgorithms is necessary in order to ensure accurate andtimely classification of the user’s context without inducingadditional workload.This paper provides a methodology for recording user interactionsand an analysis of supervised classification models,feature types and feature selection for automatically detectingthe current task and context of a user. Our analysisis based on a real world data set and shows the applicabilityof machine learning techniques.
2008

Juffinger A., Kern Roman, Granitzer Michael

Exploiting Cooccurrence on Corpus and Document Level for Fair Crosslanguage Retrieval

Working Notes for the CLEF 2008 Workshop, 17-19 September, Aarhus, Denmark, 2008

Konferenz
2008

Granitzer Michael, Zechner Mario, Kolbitsch J., Kemper P., In't Velt R.

Evaluation of Automatic Linking Strategies for Wikipedia Pages

Proceedings of the IADIS WWW/Internet Conference 2008, IADIS, 2008

Konferenz
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).
2008

Juffinger A., Kern Roman, Granitzer Michael

Crosslanguage Retrieval based on Wikipedia Statistics

Proc. of 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, 17-19 September, Aarhus, Denmark, 2008

Konferenz
2008

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

Context-Aware Knowledge Services

Workshop on Personal Information Management (PIM2008) at the 26th Computer Human Interaction Conference (CHI2008), Florence, Italy, 2008

Konferenz
Improving the productivity of knowledge workers is anopen research challenge. Our approach is based onproviding a large variety of knowledge services which takethe current work task and information need (work context)of the knowledge worker into account. In the following wepresent the DYONIPOS application which strives toautomatically identify a user’s work task and thencontextualizes different types of knowledge servicesaccordingly. These knowledge services then provideinformation (documents, people, locations) both from theuser’s personal as well as from the organizationalenvironment. The utility and functionality is illustratedalong a real world application scenario at the Ministry ofFinance in Austria.
2008

Granitzer Michael, Seifert C., Zechner Mario

Context Resolution Strategies for Automatic Wikipedia Linking

INEX 2008 pre-proceedings, Dagstuhl, Germany, Geva, S., Kamps, J., Trotman, A., Shlomo Geva and Jaap Kamps and Andrew Trotman (Eds.), 2008

Konferenz
2008

Lex Elisabeth, Kienreich Wolfgang, Granitzer Michael, Seifert C.

A generic framework for visualizing the news article domain and its application to real-world data

Journal of Digital Information Management, 2008

Journal
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