Vast volumes of raw data are generated from the digital world each day. Acquiring useful information and chief features this is challenging, it has become a prime area current research. Another crucial knowledge inferencing. Much research been carried out in both directions. Swarm intelligence used for feature selection whereas inferencing either fuzzy or rough computing widely used. Hybridizat...

The wide adoption of smart devices and Internet-of-Things (IoT) sensors has led to massive growth in data generation at the edge Internet over past decade. Intelligent real-time analysis such a high volume data, particularly leveraging highly accurate deep learning (DL) models, often requires be processed as close sources (or Internet) minimize network processing latency. advent specialized, lo...

Contrary to earlier reports in literature, exhaustive forward inferencing is a feasible approach for practical RDF. It is sufficiently fast and the increase in necessary storage size is sufficiently small to make it work. Benefits of this approach are low-cost design and implementation, and very cheap query answering, since this task is reduced to simple lookup without inferencing. A potential ...

C o n si st en t * lete * W ll D o c u m e n t e d * E a s y t o R e u s e * * E v a l u a t e d * E C O O P * Ar tifact * A E C Reflection has always been an obstacle both for sound and for effective under-approximate pointer analysis for Java applications. In pointer analysis tools, reflection is either ignored or handled partially, resulting in missed, important behaviors. In this paper, we ...

We review recent results on inferencing for SROEL(×), a description logic that subsumes the main features of the W3C recommendation OWL EL. Rule-based deduction systems are developed for various reasoning tasks and logical sublanguages. Certain feature combinations lead to increased space upper bounds for materialisation, suggesting that efficient implementations are easier to obtain for suitab...

Recent work in the area of interactive narrative has sought to develop systems that automatically produce experiences for a user that are understood as stories. Much of this work, however, has focused on the structural aspects of narrative rather than the process of narrative comprehension undertaken by users. Motivated by approaches in natural language discourse generation where explicit model...