A model for intuitive knowledge sharing

This paper proposes a system which eases the job of entering and sharing expert analysis on a database system, with emphasis to pictorial and document information. With this system a medical doctor expert on the analysis of certain imagery can not only do the normal browsing/querying but also interact with the images in a human-like fashion storing his analysis to be shared in a PACS system. Knowledge information is organized in dynamically configurable nested collections hierarchy with categories and registries that allow a web-based intuitive navigation and interaction with the system. The system combines hyperlink navigation applied at all levels with user-friendly advanced visual query facilities. It also includes facilities for extended semantics. It is cooperative, helping the user to choose the next step. The intelligent conjunction of all those features creates a very useful system. We conceive it as a possible add-on to any existing database. It is called KnowShareSys or KSS, synonyms for Knowledge Sharing System.