1,721,182 research outputs found
The European Learning Grid Infrastructure Integrated Project
semantic Grid for human learning is the vision behind the European ELeGI
Integrated Project for the implementation of future learning scenarios based on
ubiquitous, collaborative, experiential-based and contextualized learning through
the design, implementation and validation of the Learning Grid
Generalised Environment for Process Management in Cooperative Software Engineering
In this paper we present an Open Source platform supporting distributed software engineering processes, which is currently under development in the GENESIS project1 (GEneralised eNvironment for procEsS management in cooperatIve Software engineering). It supports the definition, enactment and control of software processes in a distributed manner and the formal and informal communication among distributed software engineer teams using Workflow and Document Management technologies. We make use of software agents as technological glue to control and monitor the activities execution at different sites (low invasive
approach). The highly flexible process definition language allows Project manager to define a software process at different levels of detail supporting both iterative refinement and on the fly activities flow modification
Corrigendum to “An approach based on semantic stream reasoning to support decision processes in smart cities” [Telemat. Informat. 35 (1) (2018) 68–81](S0736585317304768)(10.1016/j.tele.2017.09.019)
The authors regret that, in the work “An approach based on semantic stream reasoning to support decision processes in smart cities”, Telematics and Informatics (https://doi.org/10.1016/j.tele.2017.09.019), the name of the fourth author Antonio Simonetti has not been reported in the string of authors but erroneously only in acknowledgements. Thus, the correct string of authors and their affiliations are shown above. The authors would like to apologise for any inconvenience caused
ELeGI as enabling architecture for e-learning 2.0
Web 2.0 is supposed to be the second generation of internet-based services – such as social networking sites, wikis, communication tools and folksonomies – that let people collaborate and share information online in a previously unavailable way. Currently, many leading enterprises have a strong interest in Web 2.0 and on the impact that it can have on traditional web-based applications such as e-learning, namely, e-learning 2.0. This paper analyses what the European Learning Grid Infrastructure (ELeGI) project could provide to e-learning 2.0, in terms of its vision of learning, processes, methodologies and technologies. Our preliminary investigations have raised up which results obtained in the ELeGI project can give support to e-learning 2.0 and improve some of its typical aspects and processes
Development of mathematical models and methods of task distribution in distributed computing system
The article deals with certain aspects of Grid and Grid modeling. Grid is a distributed softwarehardware environment based on new computation and job flow management structure, principally. For analyzing the problems related to the logics of user-resource interaction, there has been developed a general model scheme. Within that scheme the authors consider the models that allow the formulation of concrete mathematical tasks. The ways of solving the assigned tasks are discussed as well
KnowMIS-ABSA: an overview and a reference model for applications of sentiment analysis and aspect-based sentiment analysis
The analysis of the opinions of customers and users has been always of great interest in supporting decision-making in many fields, especially in marketing. Sentiment analysis (SA) is the umbrella term for techniques and approaches that analyze user's sentiments, emotions, opinions in text or other media. The need for a better understanding of these opinions paved the way to novel approaches that focus on the analysis of the sentiment related to specific features of a product, giving birth to the field of aspect-based sentiment analysis (ABSA). Although the increasing interest in this discipline, there is still confusion regarding the basic concepts of ABSA: terms like sentiment, affect, emotion, opinion, are used as synonyms while they represent different concepts. This often leads to an incorrect analysis of the users' opinions.This work presents an overview of the state-of-the-art techniques and approaches for ABSA, highlighting the main critical issues related to current trends in this field. Following this analysis, a new reference model for SA and ABSA, namely the KnowMIS-ABSA model, is proposed. The model is grounded on the consideration that sentiment, affect, emotion and opinion are very different concepts and that it is profoundly wrong to use the same metric and the same technique to measure them. Accordingly, we argue that different tools and metrics should be adopted to measure each of the dimensions of an opinion. A qualitative case study, regarding product reviews, is proposed to motivate the advantages of the KnowMIS-ABSA model
A Discrete-event Simulation Tool for ODL, Internal Report
DIIMA -Università degli Studi di Salern
Information theory and possible mathematical descriptions of economical and social system based on real physical phenomena
Recent approaches in informatics to model large complex systems are considered following the ideas from real phenomena explained by physical tools. The econo-physics and sociophysics are considered. In particular, Master Equation approach and Markov chains approaches are discussed. Also the partial differential equations as the tool for modeling economical and social systems are represented. New ap-proaches for modeling systems with memory and with accounting internal properties of system elements are considered and some new research problems are proposed
IWT: an innovative solution for AGS e-Learning model
This paper is a technological development and realisation of the e-learning model presented by Albano G., Gaeta M. and Salerno S. (AGS) which appeared in the previous issue of IJKL, focused on the advanced features provided by Intelligent Web Teacher (IWT) an innovative learning platform available in the market. In this paper, the approaches used in IWT for knowledge representation and management through ontologies are examined in detail. Similarly, the way the special component Learner Intelligent Advisor (LIA) uses these and other information available on the system for creating personalised learning paths taking into account the single user preferences including present knowledge state and preferred didactic approach, etc. is carefully studied. IWT is in continuing evolution. In particular, we are improving LIA structure and algorithm and integrating IMS learning design for the description of our unit of learning. We paid particular attention to the issue of giving an insight into the main ideas and challenges underlying the solutions we chose
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