Representing Knowledge Base into Database for WAP and Web-based Expert System
This work addresses the need for affordable and widespread access to expert systems for the public through mobile and web platforms, but it appears incremental as it adapts existing methods to new contexts.
The paper tackled the problem of making expert systems accessible via both web and WAP by proposing a single database for knowledge representation using a decision tree mapping approach, enabling simultaneous access and more affordable public services.
Expert System is developed as consulting service for users spread or public requires affordable access. The Internet has become a medium for such services, but presence of mobile devices make the access becomes more widespread by utilizing mobile web and WAP (Wireless Application Protocol). Applying expert systems applications over the web and WAP requires a knowledge base representation that can be accessed simultaneously. This paper proposes single database to accommodate the knowledge representation with decision tree mapping approach. Because of the database exist, consulting application through both web and WAP can access it to provide expert system services options for more affordable for public.