Computer based learning gets more and more important in higher education. Particularly, in Legal domain, students have little chance to deal with realistic situations. One way to alleviate this problem is to provide Law students with real cases, rules, and viewpoints of which a given body of knowledge is often recognized as important to their successful learning. In this paper is proposed a nov...

In this paper we present design and development of the grid workflow system based on the semantic grid services. We will highlight the process of the discovery and composition of grid and web services into workflows and semantic technologies supporting the users during the workflow composition and evaluation of the results [13]. We will describe in detail the challenges of the design and develo...

Welcome to this special issue of the Information Technology and Management journal on knowledge based decision support systems. The main goal for this special issue is to be a timely vehicle for publishing selected research papers from academia and practitioners in different industries on this emerging topic. Knowledge-based decision support systems are systems designed to ensure more precise d...

knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. the km strategy selection is a complex decision that requires consideration of several factors. for evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. the identified factors and their impact on kno...

â â â  â â â  nowadays, the world economies are rapidly moving towards being more knowledge-based economy (kbe) and supporting the force of knowledge as a vital component of economic growth. this recent acceleration in the transition to knowledge-based economy in the world, has affected regional economic performance. in this paper, we surveyed the regional convergence in knowledge-based economy...

Knowledge acquisition is important in order to build a knowledge based system. One of the methods used in acquiring knowledge is reinforcement learning. Reinforcement learning is commonly defined as a try and error style learning that occurred in episodes. This is difficult to ensure a real control object safety condition since a control object is restricted to its environmental constraints. Th...

State of the art recommender systems support users in the selection of items from a predefined assortment (e.g., movies, books, and songs). In contrast to an explicit definition of each individual item, configurable products such as computers, financial service portfolios, and cars are represented in the form of a configuration knowledge base that describes the properties of allowed instances. ...

Manufacturers, wholesalers and retailers in the distribution chain can be seen as Community of Core Knowledge Practitioners (CoCKPs) working together towards making profit, satisfying and meeting the needs of consumers of finished goods or products. Retailers through business transactions deal directly with the end users and are seen to better understand consumer behavior particularly in line w...

Knowledge-based knowledge management (KBKM) focuses on applications of knowledge-based systems (KBS) tailored to knowledge management (KM) problems. Although KM is primarily concerned with how people and organizations utilize their knowledge assets, one key to doing so efficiently is to employ technology to facilitate the KM process. One particular kind of technology has shown itself to be extr...