The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
Resolving the semantic heterogeneity problem is crucial to allow interoperability between ontology-based systems. Ontology matching based on argumentation is an innovative research...
Document clustering has been used for better document retrieval, document browsing, and text mining. In this paper, we investigate if biomedical ontology MeSH improves the cluster...
We propose that, at the highest level of video understanding, the human needs for meaning and the methodologies to extract it are both universal and generic. One must develop an o...
In order to regulate different circumstances over an extensive period of time, norms in institutions are stated in a vague and biguous manner, thereby abstracting from concrete as...