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Authors: Fabio Sartori and Riccardo Melen

Affiliation: University of Milano-Bicocca, Italy

ISBN: 978-989-758-158-8

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.

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Paper citation in several formats:
Sartori, F. and Melen, R. (2015). Time Evolving Expert Systems Design and Implementation: The KAFKA Approach.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 84-95. DOI: 10.5220/0005612900840095

@conference{keod15,
author={Fabio Sartori. and Riccardo Melen.},
title={Time Evolving Expert Systems Design and Implementation: The KAFKA Approach},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={84-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005612900840095},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - Time Evolving Expert Systems Design and Implementation: The KAFKA Approach
SN - 978-989-758-158-8
AU - Sartori, F.
AU - Melen, R.
PY - 2015
SP - 84
EP - 95
DO - 10.5220/0005612900840095

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