Sciweavers

Share
KER
2011
8 years 1 months ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artiļ¬cial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen
IEAAIE
2009
Springer
8 years 8 months ago
Constructing Decisional DNA on Renewable Energy: A Case Study
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
Cesar Sanín, Edward Szczerbicki
DKE
1998
149views more  DKE 1998»
8 years 10 months ago
Knowledge Engineering: Principles and Methods
This paper gives an overview about the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling v...
Rudi Studer, V. Richard Benjamins, Dieter Fensel
KES
2008
Springer
8 years 10 months ago
The User Centred Knowledge Model - t-UCK
In knowledge engineering, modelling knowledge is the process of structuring knowledge before implementation. A crucial part of system development depends on the acquiring and struc...
Anne Håkansson
MVA
1992
131views Computer Vision» more  MVA 1992»
8 years 11 months ago
A New Perceptual Approach to Noisy X-Ray Image Segmentation
Thls paper proposes a new perceptual approach to noisy X-ray image segmentation. It consistsof the five major step :(1)Pre -segmentation, (2)Improved region growing, (3 ) Object de...
Jian-qin Liu, Nanning Zheng, Xudong Guan
EKAW
2008
Springer
8 years 12 months ago
Principles for Knowledge Engineering on the Web
With the advent of the Web and the efforts towards a Semantic Web the nature of knowledge engineering has changed drastically. In this position paper we propose four principles fo...
Guus Schreiber
IEAAIE
2000
Springer
9 years 1 months ago
Maintenance of KBS's by Domain Experts: The Holy Grail in Practice
Enabling a domain expert to maintain his own knowledge in a Knowledge Based System has long been an ideal for the Knowledge Engineering community. In this paper we report on our ex...
Arne Bultmann, Joris Kuipers, Frank van Harmelen
ECAI
2006
Springer
9 years 1 months ago
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
Adam Zagorecki, Marek J. Druzdzel
KSEM
2007
Springer
9 years 4 months ago
Knowledge Engineering Technique for Cluster Development
After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key succ...
Pradorn Sureephong, Nopasit Chakpitak, Yacine Ouzr...
KI
2007
Springer
9 years 4 months ago
Using UML for Knowledge Engineering - A Critical Overview
Abstract The paper analyzes UML, the well known software engineering tool, from the knowledge engineering perspective. The goal of the paper is to evaluate UML as the possible desi...
Grzegorz J. Nalepa, Igor Wojnicki
books