Capture and Reuse of Knowledge in ICT-based Decisional Environments

Health care practitioners continually confront with a wide range of challenges, seeking to making difficult diagnoses, avoiding errors, ensuring highest quality, maximizing efficacy and reducing costs. Information technology has the potential to reduce clinical errors and to im-prove the decision making in the clinical milieu. This paper presents a pilot development of a clinical decision support systems (CDSS) entitled MEDIS that was designed to incorporate knowledge from heterogeneous environments with the purpose of increasing the efficiency and the quality of the decision making process, and reducing costs based on advances of in-formation technologies, especially under the impact of the transition towards the mobile space. The system aims to capture and reuse knowledge in order to provide real-time access to clinical knowledge for a variety of users, including medical personnel, patients, teachers and students.Clinical Decision Support Systems, Knowledge Management, Knowledge Interoperability, Mobile Interface, Object-relational Mapping

Emergent Frameworks for Decision Support Systems

Knowledge is generated and accessed from heterogeneous spaces. The recent advances in in-formation technologies provide enhanced tools for improving the efficiency of knowledge-based decision support systems. The purpose of this paper is to present the frameworks for developing the optimal blend of technologies required in order to better the knowledge acquisition and reuse in large scale decision making environments. The authors present a case study in the field of clinical decision support systems based on emerging technologies. They consider the changes generated by the upraising social technologies and the challenges brought by the interactive knowledge building within vast online communities.Knowledge Acquisition, CDDSS, 2D Barcodes, Mobile Interface

The Role of Ontologies for Designing Accounting Information Systems

The accounting ontologies were conceptualized as a framework for building accounting information systems in a shared data environment, within enterprises or between different enterprises. The model’s base feature was an object pattern consisting of two mirror-image that represented conceptual the input and output components of a business process. The REA acronym derives from that pattern’s structure, which consisted of economic resources, economic events, and economic agents. The REA model was proposed as a means for an organization to capture the signification of economic exchanges between two business partners. The REA ontology provides an alternative for modelling an enterprise’s economic resources, economic events, economic agents, and their relationships. Resources are considerate organization assets that are able to generate revenue for implicated parties. Events provide a source of detailed data in this approach. Agents participate in events and can affect some resources. They can be an individual or organization inside or outside the organization that is capable of controlling economic resources and interacting with other agents. The objective of this work is to offer an understandable of this framework and to explain how this model can help us via the identification of the afferent concepts.REA ontology, accounting information systems, business process, economic exchange

The influence of Greek banking capital in non-Eurozone countries

The Greek debt crisis is poised to undermine already dwindling investment flows into south-eastern Europe's emerging economies, adding to barriers to recovery in one of the continent's most fragile regions. Greek lending in Central and Eastern Europe is concentrated mainly in Romania and Bulgaria, both struggling to recover from sharp economic contractions and most exposed to any scaling back in funding as Greece's banks shore up their own finances. Greece has been a major investor in the region- it is the second biggest in Serbia- since the fall of communism in 1989. Its problems have so far had only a limited impact on nearby states and it is unclear how much of a drag it may create. The European Bank for Reconstruction and Development- B.E.R.D.- warned of potential hits to bank systems and economies and analysts have also raised concerns. Greek firms are also not expected to invest heavily in their usual target areas as they digest severe government cost cuts at home, while simple proximity to a country that has become the latest trouble spot on investors' radar may also be an issue. Greek banks could be the main canal to transmit the crisis in Romania. At the same time, the measures of prudenciality taken by Central Bank should counteract the possible difficulties for Romanian banking system.peer-reviewe

Implementing and Running a Workflow Application on Cloud Resources

Scientist need to run applications that are time and resource consuming, but, not all of them, have the requires knowledge to run this applications in a parallel manner, by using grid, cluster or cloud resources. In the past few years many workflow building frameworks were developed in order to help scientist take a better advantage of computing resources, by designing workflows based on their applications and executing them on heterogeneous resources. This paper presents a case study of implementing and running a workflow for an E-bay data retrieval application. The workflow was designed using Askalon framework and executed on the cloud resources. The purpose of this paper is to demonstrate how workflows and cloud resources can be used by scientists in order to achieve speedup for their application without the need of spending large amounts of money on computational resources.Workflow, Cloud Resource

Capture and Reuse of Knowledge in ICT-based Decisional Environments

Health care practitioners continually confront with a wide range of challenges, seeking to making difficult diagnoses, avoiding errors, ensuring highest quality, maximizing efficacy and reducing costs. Information technology has the potential to reduce clinical errors and to im-prove the decision making in the clinical milieu. This paper presents a pilot development of a clinical decision support systems (CDSS) entitled MEDIS that was designed to incorporate knowledge from heterogeneous environments with the purpose of increasing the efficiency and the quality of the decision making process, and reducing costs based on advances of in-formation technologies, especially under the impact of the transition towards the mobile space. The system aims to capture and reuse knowledge in order to provide real-time access to clinical knowledge for a variety of users, including medical personnel, patients, teachers and students

The Role of Ontologies for Designing Accounting Information Systems

The accounting ontologies were conceptualized as a framework for building accounting information systems in a shared data environment, within enterprises or between different enterprises. The model’s base feature was an object pattern consisting of two mirror-image that represented conceptual the input and output components of a business process. The REA acronym derives from that pattern’s structure, whichconsisted of economic resources, economic events, and economic agents. The REA model was proposed as a means for an organization to capture the signification of economic exchanges between two business partners. The REA ontology provides an alternative for modelling an enterprise’s economic resources, economic events, economic agents, andtheir relationships. Resources are considerate organization assets that are able to generate revenue for implicated parties. Events provide a source of detailed data in this approach. Agents participate in events and can affect some resources. They can be anindividual or organization inside or outside the organization that is capable of controlling economic resources and interacting with other agents. The objective of this work is to offer an understandable of this framework and to explain how this model can help us via the identification of the afferent concepts

Emergent Frameworks for Decision Support Systems

Knowledge is generated and accessed from heterogeneous spaces. The recent advances in in-formation technologies provide enhanced tools for improving the efficiency of knowledge-based decision support systems. The purpose of this paper is to present the frameworks for developing the optimal blend of technologies required in order to better the knowledge acquisition and reuse in large scale decision making environments. The authors present a case study in the field of clinical decision support systems based on emerging technologies. They consider the changes generated by the upraising social technologies and the challenges brought by the interactive knowledge building within vast online communities