In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Automated methods for resource annotation are a clear necessity, as the success of the Semantic Web depends on the availability of Web resources with meta-data conforming to known...
In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. Fr...
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
In this paper I take a dynamic view in the spirit of the update semantics by Veltman (1996) on the first–order model construction procedure presented by Manthey and Bry (1988)....