Knowledge-Based Management Systems for the Fishery Sector : An Analysis

The growth of researches in the area of biological sciences over the past two decades has been dramatic. But, there has been a considerable low usage of IT in fishery sciences. Fishery sciences include not only facilitation of fishing but also incorporates heavy researches for their conservation, culture and drug research programs, etc. Today, one of the most developed and contributory works carried out is at ICLARM, Malaysia. They have got a very vast relational database on finfishes. This paper focuses the need and development of a Knowledge-Based System (KBS) for the fishery world. Knowledge-based methods offer the most flexible and expressive representation methods for the domain and for the type of applications that are required to be built. These systems have emerged as an important discipline which can further enhance the effectiveness and the productivity of the current system (Aakalu et al., 1991; and Shue and Lau, 1994). The paper concerns with the development of a knowledge-based management system capturing all the relevant data in its micro form and linking it using mathematical logics and relations. The following are the main goals: To allow knowledge researchers/scientists to update a knowledge base and have these updates persist on secondary storage; to allow multiple knowledge engineers to have shared access to knowledge base and modify the knowledge base concurrently; and to maintain consistency of the shared knowledge base as it evolves