A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A logical reasoning with preference
Decision Support Systems
Understanding, building and using ontologies
International Journal of Human-Computer Studies
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
A multi-agent system for acquiring and sharing lessons learned
Computers in Industry - Special issue: Knowledge sharing in collaborative design environments
Knowledge Representation and Reasoning
Knowledge Representation and Reasoning
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
An Ontology-Based Approach to Context Modeling and Reasoning in Pervasive Computing
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Object-oriented knowledge representation and discovery of human chewing behaviours
Engineering Applications of Artificial Intelligence
Knowledge formalization in experience feedback processes: An ontology-based approach
Computers in Industry
Designing ontologies for higher level fusion
Information Fusion
Competition policy for technological innovation in an era of knowledge-based economy
Knowledge-Based Systems
Knowledge representation concepts for automated SLA management
Decision Support Systems
Part-whole representation and reasoning in formal biomedical ontologies
Artificial Intelligence in Medicine
Analyzing the structure of expert knowledge
Information and Management
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
Deriving knowledge representation guidelines by analyzing knowledge engineer behavior
Decision Support Systems
User-centered visual analysis using a hybrid reasoning architecture for intensive care units
Decision Support Systems
Discovering role-based virtual knowledge flows for organizational knowledge support
Decision Support Systems
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In the knowledge economy era of the 21st century [14,17], the competitive advantage of enterprises has shifted from visible equipment, capital and labor in the past to invisible knowledge nowadays. Knowledge can be distinguished into tacit knowledge and explicit knowledge. Meanwhile, tacit knowledge largely encompasses empirical knowledge difficult to be documented and generally hidden inside of personal mental models. The inability to transfer tacit knowledge to organizational knowledge would cause it to disappear after knowledge workers leaving their post, ultimately losing important intellectual assets for enterprises. Therefore, enterprises attempting to create higher knowledge value are highly concerned with how to transfer personal empirical knowledge inside of an enterprise into an organizational explicit knowledge by using a systematic method to manage and share such valuable empirical knowledge effectively. This study develops a method of ontology-based empirical knowledge representation and reasoning, which adopts OWL (Web Ontology Language) to represent empirical knowledge in a structural way in order to help knowledge requesters clearly understand empirical knowledge. An ontology reasoning method is subsequently adopted to deduce empirical knowledge in order to share and reuse relevant empirical knowledge effectively. Specifically, this study involves the following tasks: (i) analyze characteristics for empirical knowledge, (ii) design an ontology-based multi-layer empirical knowledge representation model, (iii) design an ontology-based empirical knowledge concept schema, (iv) establish an OWL-based empirical knowledge ontology, (v) design reasoning rules for ontology-based empirical knowledge, (vi) develop a reasoning algorithm for ontology-based empirical knowledge, and (vii) implement an ontology-based empirical knowledge reasoning mechanism. Results of this study facilitate the tacit knowledge storage, management and sharing to provide knowledge requesters with accurate and comprehensive empirical knowledge for problem solving and decision support.