Abstract. It has often been observed that a point-free style of programvides a more abstract view on programs. We aim to use the gain in abstraction to obtain a denotational semant...
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Abstract. Transactional memory (TM) has recently emerged as an effective tool for extracting fine-grain parallelism from declarative critical sections. In order to make STM systems...
Lukasz Ziarek, Adam Welc, Ali-Reza Adl-Tabatabai, ...
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...