NDLI: Using Bayesian networks as an inference engine in KAMET

Content Provider	IEEE Xplore Digital Library
Author	Cairo, O. Penaloza, R.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Inst. Tecnologico Autonomo de Mexico, Mexico City, Mexico (Cairo, O.; Penaloza, R.)
Abstract	During the past decades, many methods have been developed for the creation of knowledge-based systems (KBS). For these methods, probabilistic networks have shown to be an important tool to work with probability-measured uncertainty. However, quality of probabilistic networks depends on a correct knowledge acquisition and modelation. KAMET is a model-based methodology designed to manage knowledge acquisition from multiple knowledge sources by Cairo, O. (1998) that leads to a graphical model that represents causal relations. Up to now, all inference methods developed for these models are rule-based, and therefore eliminate most of the probabilistic information. We present a way to combine the benefits of Bayesian networks and KAMET, and reduce their problems. To achieve this, we show a transformation that generates directed acyclic graphs, the basic structure of Bayesian networks by Castillo, E., Gutierrez J.M. and Hadi A.S. (1997), and conditional probability tables, from KAMET models. Thus, inference methods for probabilistic networks may be used in KAMET models.
Sponsorship	Chilean Comput. Sci. Soc
Starting Page	79
Ending Page	85
File Size	305180
Page Count	7
File Format	PDF
ISBN	0769520081
ISSN	15224902
DOI	10.1109/SCCC.2003.1245448
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-06
Publisher Place	Chile
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Intelligent networks Uncertainty Bayesian methods Knowledge acquisition Design methodology Knowledge based systems Cities and towns Knowledge management Engines
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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