Title :
A knowledge representation model for multiuser knowledge-based systems
Author_Institution :
Owen Graduate Sch. of Manage., Vanderbilt Univ., Nashville, TN, USA
fDate :
4/1/1993 12:00:00 AM
Abstract :
A description is given of a multiuser knowledge-based system (MKBS) model. In this system, knowledge is represented in a collection of interlinked, largely autonomous user knowledge bases (UKBs) and supports use of the system by multipole heterogeneous users. The UKBs are defined so that while each user´s view of the knowledge base is limited to the local UKB, problem solving can be achieved using knowledge from multiple UKBs. Different ways of sharing knowledge, including rules, are discussed. A method for rule translation that enables a rule to be used in multiple UKBs is presented. Issues relating to consistency maintenance and explanation in MKBS are addressed
Keywords :
knowledge based systems; knowledge representation; multi-access systems; MKBS; UKBs; consistency maintenance; explanation; knowledge representation model; largely autonomous user knowledge bases; multipole heterogeneous users; multiuser knowledge-based system; problem solving; rule translation; Costs; Engines; Expert systems; Indexing; Inference algorithms; Information retrieval; Knowledge acquisition; Knowledge based systems; Knowledge representation; Problem-solving;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
