Browsing Data Science Institute by Subject "Knowledge management"
Now showing items 1-7 of 7
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EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing
(CEUR-WS, 2008)One of the major Semantic Web challenges is the knowledge acquisition bottleneck. New content on the web is produced much faster than the respective machine readable annotations, while a scalable knowledge extraction ... -
Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition
(INSTICC, 2007)The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically ... -
Knowledge Sharing and Filtering on Semantic Web 2.0
(2007)E-learning and other popular services that grow on the fertile soil of the Internet technologies usually fail to reach their full potential. With new, emerging technologies of the second generation Internet there is even ... -
Semantic Versioning Manager: Integrating SemVersion in Protégé
(2006)Knowledge domains and their semantic representations via ontologies are typically subject to change in practical applications. Additionally, engineering of ontologies often takes place in distributed settings where multiple ... -
Semantic Wikis for Personal Knowledge Management
(Springer, 2006)Wikis are becoming popular knowledge management tools. Analysing knowledge management requirements, we observe that wikis do not fully support structured search and knowledge reuse. We show how Semantic wikis address the ... -
Towards a Practical Emergent Knowledge Exploitation
(AAAI Press, 2009) -
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing
(Springer, 2009)We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatible, but allows also for direct representation ...