The emergence in recent years of initiatives like the Linked Open Data (LOD) has led to a significant increase in the amount of structured semantic data on the Web. In this paper we argue that the shareability and wider reuse of such data can very often be hampered by the existence of vagueness within it, as this makes the data’s meaning less explicit. Moreover, as a way to reduce this problem,...

Adaptive learning means offering customized educational environments for each individual. For this to be possible in virtual environments, like the Internet, actual standardized data models for e-learning must be enriched with explicit “machine-processable” semantic information and appropriate inference rules. This would allow Learning Management Systems (LMS) to automatically process and integ...

With the rise of the Internet, virtual communities of practice are gaining importance as a mean of sharing and exchanging information. In such environments, information reuse is of major concern. In this paper, we outline the importance of enriching documents with structural and semantic information in order to facilitate their reuse. We propose a framework for document reuse based on an explic...

Reports of critical lure priming in perceptual implicit tasks [e.g., McKone, E., & Murphy, B. (2000). Implicit false memory: Effects of modality and multiple study presentations on long-lived semantic priming. Journal of Memory and Language, 43, 89-109] using the Deese-Roediger-McDermott [Roediger, H. L., III, & McDermott, K. B. (1995). Creating false memories: Remembering words not presented i...

Model-driven engineering can help in mitigating ever-growing complexity of modern software systems. In this sense, the Unified Modeling Language (UML) has gained a thick share in the market of modelling languages adopted in industry. Nevertheless, the generality of UML can make it hard to build complete code generators, simulators, model-based analysis or testing tools without setting variabili...

Different from explicit customer needs that can be identified directly by analyzing raw data from the customers, latent customer needs are often implied in the semantics of use cases underlying customer needs information. Due to difficulties in understanding semantic implications associated with use cases, typical text mining-based methods can hardly identify latent customer needs, as opposite ...

Although it is well known that the full meaning of a concept includes an intensional and an extensional aspect, the latter is neglected in almost all practically used knowledge representations and semantic formalisms, which consider only the interrelationships between concepts but not their referential meaning. In logically oriented representations with the usual model-theoretic interpretation,...

although explicit and implicit knowledge of language learners are essential to theoretical and pedagogical debates in second language acquisition (sla), little research has addressed the effects of instructional interventions on the two knowledge types (r. ellis, 2005).this study examined the relative effectiveness of explicit and implicit types of form-focused instruction (ffi) on the acquisit...