Authors:
Rim Ayadi
1
;
Yasser Hachaichi
1
;
Saleh Alshomrani
2
and
Jamel Feki
3
Affiliations:
1
Multimedia, InfoRmation Systems and Advanced, Computing Laboratory and University of Sfax, Tunisia
;
2
University of Jeddah, Saudi Arabia
;
3
Multimedia, InfoRmation Systems and Advanced, Computing Laboratory and University of Jeddah, Tunisia
Keyword(s):
Heterogeneous Knowledge, Knowledge Harmonization, Knowledge Warehouse, Data Mining, MOT, Metamodels, Transformation Rules, Source Model, Target Model.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Web Information Systems and Technologies
Abstract:
Explicit knowledge extracted from data, formalized tacit knowledge from experts or even knowledge existing
in business sources may be in several heterogeneous formal representations and structures: as rules, models,
functions, etc. However, a knowledge warehouse should solve this structural heterogeneity before storing
knowledge. This requires specific tasks of harmonizing. This paper first presents our proposed definition and
architecture of a knowledge warehouse, and then presents some languages for knowledge representations as
particular the MOT (Modeling with Object Types) language. In addition, we suggest a metamodel for the
MOT, and a metamodel for the explicit knowledge obtained using decision trees technique. As we aim to
represent knowledge having different modeling formalisms into MOT, as a unified model, then we suggest
a set of transformation rules that assure the move from the decision tree source model into the MOT target
model. This work is still in progress, it is cur
rently completed with tranformations for additional.
(More)