In this paper we propose a language-driven approach for the high-level design of web-based learning applications. In our approach we define a domainspecific language that character...
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
Semantic Web technologies offer the possibility of increased accuracy and completeness in search and retrieval operations. In recent years, curators of data resources have begun f...
Kevin L. Garwood, Phillip W. Lord, Helen Parkinson...
Abstract. In this paper, we propose a logical framework for reasoning about uncertain belief fusion. The framework is a combination of multi-agent epistemic logic and possibilistic...
Abstract. Integration of GIS and hydrologic models has been a common approach for monitoring our ever-changing hydrologic system. One important issue in adapting such an approach i...
Chen-Chieh Feng, Thomas Bittner, Douglas M. Flewel...