Exploring knowledge based method for fishing world

Abstract

The growth of researches in area of biological sciences over the last two decades is dramatic. But, there been considerably low usage of IT in fishery sciences. Fishery sciences include not only facilitation of fishing but also incorporate heavy researches for their conservation, culture, and drug research programs etc. Today's one of the most developed and contributory work carried across is at ICLARM, Malaysia. They have got a very vast relational database on finfishes. This paper focuses the need and development of a ruled knowledge based system for 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 has emerged as an important discipline which can further enhance the effectiveness and the productivity of the current system. 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 goal is kept is in mind: ??? 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. ??? to maintain consistency of the shared knowledge base as it evolves.