International Journal of Computer Applications (0975 – 8887) Volume 62– No.11, January 2013 27 Design of New Architecture for Model Management Systems using Knowledge Sharing Concept Sandeep Kautish Research Scholar Bhagwant University, Ajmer Rajasthan M.P. Thapliyal, PhD. Professor Deptt. Of Computer Engg. H.N.B. Garhwal University, Srinagar Uttrakhand ABSTRACT Information system designing is no more typical process with the advent of various methods and techniques. Decision Support Systems are one class of Information Systems which helps decision makers in situations when problem is multifaceted and complex enough to understand and solve manually. The most critical part of Decision Support Systems designing is developing Model Management Systems, a systems which determine the feasibility of one decision model and makes comparison of same with its alternatives to suggest best suitable decision model for given problem. Structured modeling is the oldest and widely accepted approach for MMS designing and this paper explores this oldest approach of MMS development and aligns the concept of knowledge sharing with Structured Modeling for designing more effective Model Management systems. Finally a new architecture is proposed for MMS designing with integration of knowledge sharing concept. Keywords Model Management Systems (MMS), Information Systems, Structured Modeling. 1. INTRODUCTION Decision (DSS) can be explained as a class of information systems which is computerized and support the activities of decision-making. According to Turban [1], Decision Support System is “an interactive, flexible, and adaptable computer- based information system, developed especially for better decision making as it supports the solution of a non-structured management problem. It utilizes data which provides an easy- to-use interface, and allows for the decision maker's own insights". It’s impossible to give a more precise definition with all the DSS facets, although the above definition is also good, we can say that these are context- and task-specific. One fact that is suitable about DSS is, it includes a decision- making process, and this definition is widely acceptable by all. Decision Support Systems has several components such as Database Management Systems (DBMS), Model Based Management Systems (MMS) and a User Interface. Out of these three components, designing of the MMS is the most typical one. There are many approaches being used for designing Model Management Systems. Structured modeling is the oldest and widely accepted approach. Improvement in productivity of models has been an issue of concern for a long time. Research which explores the modeling process can be traced to early 60's (e.g., Harary, Norman and Cartwright [9] and results are found as areas such as structural modeling, cybernetics and simulation. Recently, rapid advances in computer and decision support technologies have focused much attention on applying these technologies to develop a productive modeling environment. The resulting computer aided modeling systems are called model management systems (MMS). The architecture of a typical DSS model is presented here Figure 1 depicts a typical architecture which is based upon expert system. Figure 1 – Typical architecture of DSS The architecture consists of four main components: a database, a model management subsystem, dialogue system and knowledge management subsystem. 2. CONCEPT OF KNOWLEDGE SHARING The roots of knowledge sharing concepts lie within the technology transfer and innovation literature. The main focus is on the successes of failures of different nations’ in fostering the economic growth through the development of technology. Whereas some of the theorists argues that national innovation and growth rates are due to high investments in physical and human capital [3, 4], ‘assimilation theorists’ on the other hand says that entrepreneurship, effective learning, and innovation are separate but act equally important variables that affect to the development.. An understanding of the importance of sharing of ideas is the central of both the approaches. The firms are mastering and getting into new practices like product design, manufacturing processes, and organizational designs which are the result of successful knowledge sharing [5]. On technology transfer it is the recent volume by the title of Richard Nelson’s, Technology, Learning & Innovation [16], it is seen that knowledge sharing is occurring through dynamic leaning process where customer and the supplier can continually been interacted by the organizations in order to innovate or imitate creativity. The case of technology transfer which was proposed by Lall [13] is been considered technologies being used in industries are mainly obtained from the industrialized world by the developing countries, and their major problem is technology and to master, adapt and improve knowledge and unlike the sale of a good, when the physical delivery takes place than only the transaction is complete, a prolonged process is a successful transfer of the technology, and the completion of transaction involves local DATABASE MODEL BASE KNOWLEDGE BASE DIALOGUE