Knowledge Integration Methods for Probabilistic Knowledge-based Systems

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A01=Ngoc Thanh Nguyen
A01=Trong Hieu Tran
A01=Van Tham Nguyen
Actual Experimental Sets
Age Group_Uncategorized
Age Group_Uncategorized
Author_Ngoc Thanh Nguyen
Author_Trong Hieu Tran
Author_Van Tham Nguyen
automatic-update
Bayesian Network
Bayesian Network Model
Category1=Non-Fiction
Category=GPF
Category=KJMK
Category=KJMV3
Category=UY
Category=UYQE
Category=UYZM
Complete Conjunctions
Construction Theorems
COP=United Kingdom
DDF
decision support algorithms
Delivery_Delivery within 10-20 working days
Differential Algorithm
Dynamic Knowledge Management
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Generalized Polynomials
IDP
Inconsistency Measure
Inconsistency measures
Inference Engine
Integrating Operator
Knowledge and integration methods
Knowledge Inconsistency
Knowledge Integration
Knowledge management
Knowledge Representation Methods
Knowledge-based systems
Language_English
Lexicographical Term Order
medical data analysis
MIO
MLN
multimedia information retrieval
NAI
ontology reasoning
PA=Available
PCFGs
Price_€50 to €100
Probabilistic Constraint
Probabilistic knowledge
probabilistic knowledge base consistency
PS=Active
semantic web integration
softlaunch
uncertainty modelling
Uncertainty Resolution

Product details

  • ISBN 9781032233888
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 09 Oct 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.

Van Tham Nguyen is currently PhD at Thuyloi University, Hanoi, Vietnam. He received his Ph.D. degree from VNU – University of Engineering and Technology in 2022. His scientific interests consist of collective intelligence, knowledge integration methods, inconsistent knowledge processing, and machine learning. He has published nine peer-reviewed papers in journals and conference proceedings.

Ngoc Thanh Nguyen (Ph.D., D.Sc.) is a full professor and the Head of Applied Informatics Department at the Wroclaw University of Science and Technology, Poland. He is author or co-author of 6 books and over 450 papers.

Trong Hieu Tran is currently an Associate Professor at VNU – University of Engineering and Technology. He received his dual Ph.D. degree from Wroclaw University of Technology (Poland) and Swinburne University of Technology (Australia) in 2013. His research interests include belief merging, multi-agent systems, data mining and machine learning. He is the author of 21 peer-reviewed papers in reputable journals and conferences.

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