Multiple distributed and modular ontology representation frameworks have recently appeared. They typically extend Description Logics (DL), with new constructs to represent relations between entities across several ontologies. Three kinds of constructs appear in the literature: link properties, found in E-connections, semantic mapping, found in Distributed Description Logics (DDL), and semantic ...

Modular ontology languages, such as Distributed Description Logics (DDL), E-connections and Package-based Description Logics (P-DL) offer two broad classes of approaches to connect multiple ontology modules: the use of mappings or linkings between ontology modules e.g., DDL and E-connections; and the use of importing e.g., P-DL. The major difference between the two approaches is on the usage of...

Phosphoprotein-binding domains are found in many different proteins and specify protein-protein interactions critical for signal transduction pathways. Forkhead-associated (FHA) domains bind phosphothreonine and control many aspects of cell proliferation in yeast (Saccharomyces cerevisiae) and animal cells. The Arabidopsis (Arabidopsis thaliana) protein kinase-associated protein phosphatase inc...

Smart Learning environments (SLEs) are defined [1] as learning ecologies where students engage in activities, or teachers facilitate such activities with the support of tools and technology. SLEs can encompass physical virtual spaces which a system senses context process by collecting data, analyzes consequently reacts customized interventions that aim at improving [1]. In this way, may collect...

Water is a valuable, necessary and unfortunately rare commodity in both developing developed countries all over the world. It undoubtedly most important natural resource on planet constitutes an essential nutrient for human health. Geo-environmental pollution can be caused by many different types of waste, such as municipal solid, industrial, agricultural (e.g., pesticides fertilisers), medical...

The geometric structure of an optimization landscape is argued to be fundamentally important support the success deep neural network learning. A direct computation beyond two layers hard. Therefore, capture global view landscape, interpretable model network-parameter (or weight) space must established. However, lacking so far. Furthermore, it remains unknown what looks like for networks binary ...

Developing reduced-order models for turbulent flows, which contain dynamics over a wide range of scales, is an extremely challenging problem. In statistical mechanics, the Mori-Zwanzig (MZ) formalism provides mathematically formal procedure constructing representations high-dimensional dynamical systems, where effect due to unresolved are captured in memory kernel and orthogonal dynamics. Turbu...