Knowledge management and networked environments: leveraging intellectual capital in virtual business communities
Multi-View Software Evolution: A UML-based Framework for Evolving Object-Oriented Software
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Metamodel driven model migration
Metamodel driven model migration
An approach to the development of commonsense knowledge modeling systems for disaster management
Artificial Intelligence Review
Formal concept analysis for an e-learning semantic web
Expert Systems with Applications: An International Journal
Worst Practices for Domain-Specific Modeling
IEEE Software
FAML: A Generic Metamodel for MAS Development
IEEE Transactions on Software Engineering
Architecture analysis of enterprise systems modifiability - Models, analysis, and validation
Journal of Systems and Software
Feature selection for fluency ranking
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Metamodelling approach towards a disaster management decision support system
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
A disaster management metamodel (DMM) validated
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Locality preserving multimodal discriminative learning for supervised feature selection
Knowledge and Information Systems
How do we measure and improve the quality of a hierarchical ontology?
Journal of Systems and Software
Developing and evaluating a generic metamodel for MAS work products
Software Engineering for Multi-Agent Systems IV
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Disaster Management (DM) is a multidisciplinary endeavour and a very difficult knowledge domain to model. It is a diffused area of knowledge that is continuously evolving and informally represented. Metamodel is the output artefact of metamodelling, a software engineering approach, which makes statements about what can be expressed in the valid models of the knowledge domain. It is an appropriate high level knowledge structure to facilitate it being communicated among DM stakeholders. A Disaster Management Metamodel (DMM) is developed. To satisfy the expressiveness and the correctness of a DMM, in this paper we present a metamodel evaluation technique by using a Frequency-based Selection. The objective of this technique is to evaluate the importance of the individual concepts used in the DMM, thus, the quality of the metamodel can be measured quantitatively.