Modelling and thus metamodelling have become increasingly important in Software Engineering through the use of Model Driven Engineering. In this paper we present a systematic literature review of instance generation techniques for metamodels, i.e. the process of automatically generating models from a given metamodel. We start by presenting a set of research questions that our review is intended...

Diverse authoring approaches and tools have been designed to assist the creation of units of learning compliant to current learning technology specifications. Although visual and pattern-based editors of Learning Designs (LD) can help to abstract the learning designer from the details of the specifications, they are still far from a high-level, integrated authoring environment. This paper analy...

This paper suggests an analysis of Modern Hebrew noun phrases in the framework of HPSG. It focuses on the peculiar properties of the deenite article, including the requirement for deeniteness agreement among various elements in the noun phrase, deeniteness inheritance in construct-state nominals, the fact that the article does not combine with constructs and the similarities between construct-s...

The definition and development of learning ecosystems is a complex process with a wide range of requirements. Although two different institutions or companies share the same problems and goals regarding their learning and training processes, the learning ecosystems to support them are different. The components of the ecosystem, including the human factor as a key element, and the relationships ...

Reified logics have been a major subject of interest in the knowledge representation community for well over twenty years, since over the years, the need to quantify and reason about propositional entities such as events and states among other temporal entities has grown. Galton had made it clear that one may either refer to types or tokens (instances) of such entities in the ontology. A clear ...

in today’s global economy, the fundamental attribute of competitiveness have been driven from pecuniary capital to knowledge capital so that knowledge is known as the unique strategic resource to acquire competitive advantage. therefore, businesses that efficiently utilize existing knowledge within their organizations are expected to gain comparative advantage over their competitors. this resea...

The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit symbolic hypotheses. These hypotheses are subject to the constraints of the KB and are easily human-readable and verifiable. Toward this end, we have implemented algorithms that hypothesize new relations and new types of...