Authors:
Fabio Sartori
and
Riccardo Melen
Affiliation:
University of Milano-Bicocca, Italy
Keyword(s):
Knowledge Artifact, Knowledge Acquisition, Android OS.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Expert Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
Expert Systems design and implementation has been always conceived as a centralized activity, characterized
by the relationship between users, domain experts and knowledge engineers. The growing diffusion of
sophisticated PDAs and mobile operating systems opens up to new and dynamic application environments
and requires to rethink this statement. New frameworks for expert systems design, in particular rule–based
systems, should be developed to allow users and domain experts to interact directly, minimizing the role of
knowledge engineer and promoting the real–time updating of knowledge bases when needed. This paper
present the KAFKA approach to this challenge, based on the implementation of the Knowledge Artifact conceptual
model supported by Android OS devices.