A form based meta-schema for information and knowledge elicitation

Knowledge is considered important for the survival and growth of an enterprise. Currently knowledge is stored in various places including the bottom drawers of employees. The human being is considered to be the most important knowledge provider. Over the years knowledge based systems (KBS) have been developed to capture and nurture the knowledge of domain experts. However, such systems were considered to be separate and different from the traditional information systems development. Many KBS development projects have failed. The main causes for such failures have been recognised as the difficulties associated with the process of knowledge elicitation, in particular the techniques and methods employed. On the other hand, the main emphasis of information systems development has been in the areas of data and information capture relating to transaction based systems. For knowledge to be effectively captured and nurtured it is necessary for knowledge to be part of the information systems development activity. This thesis reports on a process of investigation and analysis conducted into the areas of information, knowledge and the overlapping areas. This research advocates a hybrid approach, where knowledge and information capture to be considered as one in a unified environment. A meta-schema design based on Formal Object Role Modelling (FORM), independent of implementation details, is introduced for this purpose. This is considered to be a key contribution of this research activity. Both information and knowledge is expected to be captured through this approach. Meta data types are provided for the capture of business rules and they form part of the knowledge base of an organisation. The integration of knowledge with data and information is also described. XML is recognised by many as the preferred data interchange language and it is investigated for the purpose of rule interchange. This approach is expected to enable organisations to interchange business rules and their meta-data, in addition to data and their schema. During interchange rules can be interpreted and applied by receiving systems, thus providing a basis for intelligent behaviour. With the emergence of new technologies such as the Internet the modelling of an enterprise as a series of business processes has gained prominence. Enterprises are moving towards integration, establishing well-described business processes within and across enterprises, to include their customers and suppliers. The purpose is to derive a common set of objectives and benefit from potential economic efficiencies. The suggested meta-schema design can be used in the early phases of requirements elicitation to specify, communicate, comprehend and refine various artefacts. This is expected to encourage domain experts and knowledge analysts work towards describing each business process and their interactions. Existing business processes can be documented and business efficiencies can be achieved through a process of refinement. The meta-schema design allows for a 'systems view' and sharing of such views, thus enabling domain experts to focus on their area of specialisation whilst having an understanding of other business areas and their facts. The design also allows for synchronisation of mental models of experts and the knowledge analyst. This has been a major issue with KBS development and one of the main reasons for the failure of such projects. The intention of this research is to provide a facility to overcome this issue. The natural language based FORM encourages verbalisation of the domain, hence increasing the understanding and comprehension of available business facts.