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.

Sartori, F., 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) (pp.84-95). SciTePress [10.5220/0005612900840095].

Time evolving expert systems design and implementation: The KAFKA approach

SARTORI, FABIO;MELEN, RICCARDO
2015

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.
paper
Knowledge Artifact, Knowledge Acquisition, Android OS
English
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - 12/14 Novembre
2015
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD (IC3K-2015)
9789897581588
2015
2
84
95
reserved
Sartori, F., 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) (pp.84-95). SciTePress [10.5220/0005612900840095].
File in questo prodotto:
File Dimensione Formato  
Sartori-Melen-Submission.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 679.69 kB
Formato Adobe PDF
679.69 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/93546
Citazioni
  • Scopus 11
  • ???jsp.display-item.citation.isi??? ND
Social impact