Data & Knowledge Engineering - Special issue on linguistic instruments in knowledge engineering (LIKE)
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Learning belief networks from data: an information theory based approach
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Improved project management through improved document management
Computers in Industry
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Case-Based Reasoning Systems: From Automation to Decision-Aiding and Stimulation
IEEE Transactions on Knowledge and Data Engineering
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
A sharable ontology for the formal representation of engineering-design knowledge
Proceedings of the IFIP TC5/WG5.2 Workshop on Formal Design Methods for CAD
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
Dynamic Ontology Integration in a Multi-agent Environment
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
Representation in case-based reasoning
The Knowledge Engineering Review
The ODESeW 2.0 semantic web application framework
Proceedings of the 15th international conference on World Wide Web
OntoCAPE-A large-scale ontology for chemical process engineering
Engineering Applications of Artificial Intelligence
Multi-perspective ontologies: Resolving common ontology development problems
Expert Systems with Applications: An International Journal
Ontology learning: state of the art and open issues
Information Technology and Management
Meta-modeling framework: A new approach to manage meta-modelbase and modeling knowledge
Knowledge-Based Systems
Investigating ontology development for engineering design support
Advanced Engineering Informatics
A nearest-nodes finite element method with local multivariate Lagrange interpolation
Finite Elements in Analysis and Design
yOWL: An ontology-driven knowledge base for yeast biologists
Journal of Biomedical Informatics
Journal of Biomedical Informatics
The SWAN biomedical discourse ontology
Journal of Biomedical Informatics
Knowledge Acquisition/Transformation to Meet the Quality Needs of the Metallic Constructions Market
Proceedings of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
Proceedings of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
Physical concept ontology for the knowledge intensive engineering framework
Advanced Engineering Informatics
System perspective of knowledge management, organizational learning, and organizational innovation
Expert Systems with Applications: An International Journal
An efficient and scalable algorithm for segmented alignment of ontologies of arbitrary size
Web Semantics: Science, Services and Agents on the World Wide Web
PQONT: A domain ontology for electrical power quality
Advanced Engineering Informatics
Towards automatic merging of domain ontologies: The HCONE-merge approach
Web Semantics: Science, Services and Agents on the World Wide Web
Organisational innovation as part of knowledge management
International Journal of Information Management: The Journal for Information Professionals
Hi-index | 12.05 |
In science-based and technology-intensive projects, knowledge management challenges require a tentative and cautious review of the technological domains, as well as, venues to monitor and assess the way those domains evolve, emerge, mature, and decline. Ontologies play a crucial role in conceptualizing/formalizing domain knowledge, yet any ontological platform that is constructed for supporting R&D throughout the knowledge creation process, must explicitly address the interplay between exploitation and exploration of knowledge at deep and surface levels. Focusing on the product per se and its downstream and upstream knowledge evolution complex system, ontology engineering adopts herein a process-driven view for capturing a continuously changing environment. The authors present a methodological framework for creating specific domain ontologies by means of a cybernetic infrastructure built on a modification of the Nonaka's SECI process. This rationale is exemplified on biosensors, a class of devices strongly attached to multidisciplinary basic and applied science, bearing along many levels of input and output knowledge. The proposed ontological representation, expresses and defines a target product as a metamodel. Combined with knowledge about the scientific background of the product, an aspect model at physical concept level is generated from the metamodel and is further converted into a design model. This scheme enables knowledge to be used not only for representation but also for reasoning at functional level. The research logic followed herein does not bring yet another ontology building methodology through a project-management context, but rather contributes to an ontological approach for exploring the diverse knowledge inputs that a product requires through a specific domain-derived and domain-oriented context, which relies on a collaborative model building methodology and a systemic modeling formalism by using 2nd order cybernetics in order to include human intervention.