682 research outputs found
DRIVER Technology Watch Report
This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field
TOWARDS A SEMANTIC RESEARCH INFORMATION SYSTEM BASED ON RESEARCHERS' CV DOCUMENTS
Curricula vitae are widely used as the main mechanisms for evaluation of researchers. They also reflect a fraction of the data about the research activity of an organization and geographic area. The nature of the academic world causes researchers to have to continuously keep the information updated. There are tools to help manage this information, usually offered by an organization such as a university or the national government. However, the reports generated by these tools have a local scope when in most of the cases they are used outside the organization. We explore Semantic Web as a solution to this problem because of its benefits on interoperability, inference capabilities when merging data from different sources, and expedience when responding to semantic queries made by evaluators. We design a software solution using the existing tools, able to get data from a CV document, insert it into a semantic system, and then build a document CV from the existing amount of semantic data of a researcher in that system
Semantic discovery and reuse of business process patterns
Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse
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Advances in Technology Enhanced Learning
‘Advances in Technology Enhanced Learning’ presents a range of research projects which aim to explore how to make engagement in learning (and teaching) more passionate. This interactive and experimental resource discusses innovations which pave the way to open collaboration at scale. The book introduces methodological and technological breakthroughs via twelve chapters to learners, instructors, and decision-makers in schools, universities, and workplaces.
The Open University's Knowledge Media Institute and the EU TELMap project have brought together the luminaries from the European research area to showcase their vision of the future of learning with technology via their recent research project work. The projects discussed range widely over the Technology Enhanced Learning area from: environments for responsive open learning, work-based reflection, work-based social creativity, serious games and many more
SWA-KMDLS: An Enhanced e-Learning Management System Using Semantic Web and Knowledge Management Technology
In this era of knowledge economy in which knowledge have become the most precious
resource, surveys have shown that e-Learning has been on the increasing trend in various
organizations including, among others, education and corporate. The use of e-Learning is
not only aim to acquire knowledge but also to maintain competitiveness and advantages
for individuals or organizations. However, the early promise of e-Learning has yet to be
fully realized, as it has been no more than a handout being published online, coupled with
simple multiple-choice quizzes. The emerging of e-Learning 2.0 that is empowered by
Web 2.0 technology still hardly overcome common problem such as information
overload and poor content aggregation in a highly increasing number of learning objects
in an e-Learning Management System (LMS) environment.
The aim of this research study is to exploit the Semantic Web (SW) and Knowledge
Management (KM) technology; the two emerging and promising technology to enhance
the existing LMS. The proposed system is named as Semantic Web Aware-Knowledge
Management Driven e-Learning System (SWA-KMDLS). An Ontology approach that is
the backbone of SW and KM is introduced for managing knowledge especially from
learning object and developing automated question answering system (Aquas) with
expert locator in SWA-KMDLS. The METHONTOLOGY methodology is selected to
develop the Ontology in this research work.
The potential of SW and KM technology is identified in this research finding which will
benefit e-Learning developer to develop e-Learning system especially with social
constructivist pedagogical approach from the point of view of KM framework and SW
environment. The (semi-) automatic ontological knowledge base construction system
(SAOKBCS) has contributed to knowledge extraction from learning object semiautomatically
whilst the Aquas with expert locator has facilitated knowledge retrieval
that encourages knowledge sharing in e-Learning environment.
The experiment conducted has shown that the SAOKBCS can extract concept that is the
main component of Ontology from text learning object with precision of 86.67%, thus
saving the expert time and effort to build Ontology manually. Additionally the
experiment on Aquas has shown that more than 80% of users are satisfied with answers
provided by the system. The expert locator framework can also improve the performance
of Aquas in the future usage.
Keywords: semantic web aware – knowledge e-Learning Management System (SWAKMDLS),
semi-automatic ontological knowledge base construction system (SAOKBCS),
automated question answering system (Aquas), Ontology, expert locator
Personal Profile Monitoring
Employees are the human capital which, to a great extent, contributes to the success and
development of high-performance and sustainable organizations. In a work environment, there
is a need to provide a tool for tracking and following-up on each employees' professional
progress, while staying aligned with the organization’s strategic and operational goals and
objectives.
The research work within this Thesis aims to contribute to improve employees' selfawareness
and auto-regulation; two predominant research areas are also studied and analyzed:
Visual Analytics and Gamification. The Visual Analytics enables the specification of
personalized dashboard interfaces with alerts and indicators to keep employees aware of their
skills and to continuously monitor how to improve their expertise, promoting simultaneously
behavioral change and adoption of good-practices. The study of Gamification techniques with
Talent Management features enabled the design of new processes to engage, motivate, and
retain highly productive employees, and to foster a competitive working environment, where
employees are encouraged to be involved in new and rewarding activities, where knowledge
and experience are recognized as a relevant asset. The Design Science Research was selected
as the research methodology; the creation of new knowledge is therefore based on an iterative
cycle addressing concepts such as design, analysis, reflection, and abstraction.
By collaborating in an international project (Active@Work), funded by the Active and
Assisted Living Programme, the results followed a design thinking approach regarding the
specification of the structure and behavior of the Skills Development Module, namely the
identification of requirements and the design of an innovative info-structure of metadata to
support the user experience. A set of mockups were designed based on the user role and main
concerns. Such approach enabled the conceptualization of a solution to proactively assist the
management and assessment of skills in a personalized and dynamic way. The outcomes of this
Thesis aims to demonstrate the existing articulation between emerging research areas such as
Visual Analytics and Gamification, expecting to represent conceptual gains in these two
research fields
Front-Line Physicians' Satisfaction with Information Systems in Hospitals
Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe
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