The objective of this work was the presentation of a knowledge-based framework for the identification of urban features, as well as additional land cover types, contained in the image scene. The test area used was located in an urban environment of Aghios Stefanos, Attica. An IKONOS image (spatial resolution of 1m-resampled) was acquired for the study area and further pre-processed. Furthermore...

Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowledge base through a set of reduction rules that preserve the properties of the RPNM is presented. In addition and based on the RPNM, an efficient algorithm is proposed to perform rough reasoning automatically. Keyword R...

For Diagnostic Problem Solving Methods, appropriate methods and knowledge bases require considerable time for development. Graphical knowledge interfaces and reuse of Problem Solving Methods (PSM) can increase user performance of building knowledge bases. Furthermore classiication accuracy is also imporant which can be increased by combinations of diierent PSM. We combined three algorithms of t...

This paper describes experiments for testing the power of large-scale resources for lexical selection in machine translation (MT) and cross-language information retrieval (CLIR). We adopt the view that verbs with similar argument structure share certain meaning components , but that those meaning components are more relevant to argument realization than to idiosyncratic verb meaning. We verify ...

This paper argues that automated knowledge acquisition for diagnosis has had limited success in both failure-driven diagnosis and model-based diagnosis. The paper describes fault-based and model-based reasoning for diagnosis and surveys some of the approaches to knowledge acquisition in both areas. The Diagnostic Remodeller (DR) algorithm I am currently implementing for the automated generation...

Objective: One of the long-term goals and strategies of the country for development in the 20-year vision plan is the development of the knowledge-based economy, so that with pursuing this strategy, Iran could become a knowledge-based economy by 1404. The purpose of this research is to explain the economic status of Iran among regional competitors based on the components of knowledge-based econ...

AIMS is a knowledge-based system for learning and teaching support within the context of distance education. It is aimed not only at enhancing learner's conceptual knowledge in a specific subject area but also at providing knowledge verification tools for the teacher. The system can be used to aid learning and teaching in different subject areas and to provide user-oriented support in searching...

The most important problem in Interactive Narrative Environments like computer games or interactive fictions is called “the interaction dilemma” [2], an inevitable conflict between the designer's determinism and the user's freedom. An interactive storytelling systems needs to structure an intensive and meaningful experience at the same time as enabling the right development of a pre-authored pl...