Many representative applications on the semantic web, including collabora-tive ontology building, partial ontology reuse, selective knowledge hiding and distributed data management, call for modular ontologies,. However, although OWL allows using owl:imports to connect multiple ontologies, its current semantics requires all involved ontologies to have a single global semantics, thus providing o...

We clarified the relationship between the display size of MRI images and observer performance using a digital contrast-detail (d-CD) phantom. The d-CD phantom was developed using Microsoft Visual Basic 2010 Express. It had a 512 × 512 matrix in size and a total of 100 holes, whose diameter increased stepwise from 4 to 40 pixels with a 4-pixel interval in the vertical direction; the contrast var...

Expert-provided operator descriptions are expensive, incomplete, and incorrect. Given the assumptions of noise-free information and an completely-observable state, OBSERVER can autonomously learn and refines new operators through observation and practice (Wang 1995). WISER, our learning system, relaxes these assumptions and learns operator preconditions through experimentation utilizing imperfe...

We present a computational model of how partial comprehension of utterances in context may drive the acquisition of children’s earliest grammatical constructions. The model aims to satisfy convergent constraints from cognitive linguistics and crosslinguistic developmental evidence within a statistically driven computational framework. We examine how the tight coupling between contextually groun...

With information technology progressing on a nearly day-to-day basis with respect to technical feasibility, general availability and individual familiarity, challenges of eLearning at the workplace no longer reside in technical impediments. Whereas bulky, unhandy software, weak network connections or low usability used to present the major obstacles, it is now the missing integration of eLearni...

Input-driven models provide an explicit and readily testable account of language learning. Although we share Ellis’s view that the statistical structure of the linguistic environment is a crucial and, until recently, relatively neglected variable in language learning, we also recognize that the approach makes three assumptions about cognition and language learning that are not universally share...

Learning Management Systems or e-Learning systems have been typically deployed to provide a means for the deposition of content which students access in a browse mode. Often a discussion space is provided to facilitate some course relevant communication. In this article we argue that if the e-Learning system can be adapted to match the educational design of particular courses, both students and...

Soil health and quality monitoring in the near past has been highly qualitative speculative with more recent advancements still trying to fill void of a holistic soil profile. In this work, an electrochemical approach proposed build unique quantitative model—“DENSE” that probes diffuse double layer (DDL) dielectric evaluate thorough interfacial profile matrix. Room Temperature Ionic Liquid (RTI...

Existing computational models of emotion are primarily concerned with creating more realistic agents, with recent efforts looking into matching human data, including qualitative emotional responses and dynamics. In this paper, our work focuses on the functional benefits of emotion in a cognitive system where emotional feedback helps drive reinforcement learning. Our system is an integration of ...