The paper aims at contributing to the problem of designing ontologies for spatio-temporal knowledge representation. We consider a linguistically oriented, situation-based methodol...
NL interaction and skillful hinting are known as cornerstones for successful tutoring. Despite these insights, a combination of these two factors is widely under-represented in th...
This linguistically motivated work addresses issues in reasoning intelligently over spatial descriptions of simple, static scenes to produce plausible graphical interpretations. I...
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
In this paper we discuss the mechanism of a recommender system recommending papers for an evolving web-based learning system. Our system is unique in three aspects. The first is t...
We discuss description and reasoning over regions. We have proposed a system called SRCC that integrates integration of spatial and semantic data. SRCC can describe and reason abo...
The Semantic Web is intended for knowledge sharing among agents as well as humans. To achieve this goal, Ontologies, which express knowledge in a certain vitality as well as in a ...
This paper is an extension to and revision of Gonzalez and Ahlers' [6] definition of the Context-Based Reasoning Paradigm. Included are rigorous definitions of all terms and ...
Brian S. Stensrud, Gilbert C. Barrett, Avelino J. ...
In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
The probabilistic concept formation general problem in dealing with mixed-data scale environments is due to the use of different evaluation function for each attribute type. We cl...