The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...
We present a novel matching and similarity evaluation method for planar geometric shapes represented by sets of polygonal curves. Given two shapes, the matching algorithm randomly...
The tutorial first addresses requirements and semantic problems to integrate digital information into large scale, meaningful networks of knowledge that support not only access to...
Calling context enhances program understanding and dynamic analyses by providing a rich representation of program location. Compared to imperative programs, objectoriented program...
Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the semantic web. The aim is to represent the user’s positi...