Dynamic Integration of Multiple Evidence Sources for Ontology Learning
Keywords:Evidence Integration, Games with a Purpose, Knowledge Evolution, Ontology Learning
AbstractAlthough ontologies are central to the Semantic Web, current ontology learning methods primarily make use of a single evidence source and are agnostic in their internal representations to the evolution of ontology knowledge. This article presents a continuous ontology learning framework that overcomes these shortcomings by integrating evidence from multiple, heterogeneous sources (unstructured, structured, social) in a consistent model, and by providing mechanisms for the fine-grained tracing of the evolution of domain ontologies. The presented framework supports a tight integration of human and machine computation. Crowdsourcing in the tradition of games with a purpose performs the evaluation of the learned ontologies and facilitates the automatic optimization of learning algorithms.
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How to Cite
Wohlgenannt, G., Weichselbraun, A., Scharl, A., & Sabou, M. (2012). Dynamic Integration of Multiple Evidence Sources for Ontology Learning. Journal of Information and Data Management, 3(3), 243. https://doi.org/10.5753/jidm.2012.1451