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Service-Oriented Knowledge Modeling Method and its Application
- Source :
- 2006 International Conference on Machine Learning and Cybernetics.
- Publication Year :
- 2006
- Publisher :
- IEEE, 2006.
-
Abstract
- Knowledge services technology is becoming the important means to realize Business Intelligence and Knowledge-Based Systems. Based on the development of Grid and Web Services technologies, using Service-Oriented Architecture to build knowledge services is mentioned by many researchers. In this paper, a multi-perspective Knowledge Service Description Model (KSDM) for overall knowledge service modeling is proposed. The model pays attention to the executable part such as the dynamics, process, functionality and context of knowledge within knowledge service, which have not been addressed in existing knowledge service methods. Besides the basic configuration part, the model emphasizes definition of the knowledge contents part from four main perspectives that are Domain Knowledge, Inference Knowledge, Task Knowledge and Context Knowledge. For the application in real systems, a task-oriented architecture based on KSDM is proposed. And an implementation of mine resources evaluation knowledge service on Spatial Information Grid is introduced.
- Subjects :
- Knowledge management
Knowledge representation and reasoning
Commonsense knowledge
Computer science
computer.internet_protocol
Knowledge engineering
Open Knowledge Base Connectivity
Inference
computer.software_genre
Body of knowledge
Knowledge-based systems
Knowledge modeling
Knowledge extraction
Knowledge integration
Personal knowledge management
IDEF3
business.industry
Knowledge value chain
Service-oriented architecture
Mathematical knowledge management
Procedural knowledge
Knowledge base
Business intelligence
Organizational learning
Domain knowledge
Web service
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2006 International Conference on Machine Learning and Cybernetics
- Accession number :
- edsair.doi...........2753b37bf8a68b500cccebc4481cb418
- Full Text :
- https://doi.org/10.1109/icmlc.2006.258767