Introduction
        
            
            One criticism of Expert System (ES) technology is that it is very time consuming
            to build an Expert System compared to conventional Information Systems. The knowledge
            acquisition phase is the most thing to blame in this judgment. Knowledge Acquisition
            (KA) is the most expensive phase in knowledge based systems development. Also, it
            is a time-consuming process in which the Knowledge Engineer (KE) elicits problem
            solving heuristics (rules) that human experts use to solve a particular problem
            in some specific domain. To setup a knowledge acquisition session, a meeting has
            to be organized in a certain place where knowledge engineer and domain experts begin
            to document the problem solving heuristics. Organizing such meetings is time-consuming
            as it is difficult for domain experts to leave their sites frequently to attend
            such knowledge acquisition sessions. Usually, the acquired knowledge has to be verified
            after it was documented. This is another time-consuming phase.
            
            
            To make the knowledge acquisition performed in an efficient way, it would be useful
            to allow domain experts provide their contribution remotely through the Internet.
            In this way, we save transportation time and effort and allow for an instant participation
            that can be performed any time. Another benefit is to allow for the participation
            of regional and international as well as resident experts. Motivated by this goal,
            the Web Knowledge Acquisition Tool (WKAT) was developed at the Central Laboratory
            for Agriculture Expert Systems (CLAES) to facilitate the knowledge acquisition process.
            
            
            WKAT is a knowledge acquisition tool that enables collaboration of domain experts
            in different sites. This online help presents the tool and its components and how
            to use it to create, update, browse, and search a knowledge base. The knowledge
            is stored centrally in a web server.