Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
An agent-based model for domain knowledge representation
Data & Knowledge Engineering
Automatic Fuzzy Ontology Generation for Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Ontologies for supply chain simulation modeling
WSC '05 Proceedings of the 37th conference on Winter simulation
An ontology-based architecture for implementing semantic integration of supply chain management
International Journal of Computer Integrated Manufacturing
A semantic fuzzy expert system for a fuzzy balanced scorecard
Expert Systems with Applications: An International Journal
Rule-based ontological knowledge base for monitoring partners across supply networks
Expert Systems with Applications: An International Journal
Models for Evaluating and Planning City Logistics Systems
Transportation Science
Sharing knowledge in a supply chain using the semantic web
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
City logistics is a discipline specialized to cope with the sustainability problems encountered in urban freight transport. A key characteristic of it is the heterogeneity of the stakeholders involved. Besides the traditional logistics actors such as shippers, carriers and receivers that share consistent interests (i.e. price and quality), city logistics highly respect the interests of public administrators and citizens that care more about the social welfare. To reach an optimal balance between private and public benefit, it is necessary to understand and in turn forecast the behavior pattern of different groups. In recent years, agent-based modeling has been practiced as an unconventional tool to fulfill this task for its strong capability on capturing the dynamic behavior of individual stakeholders and their interconnections. Referring to other domains (e.g. energy system) where the application of agent-based modeling is relatively mature, a following urgency is to achieve interoperability and in turn reusability between models via introducing formal ontology as a shared template with which developers can standardize their models. This paper introduces an initiative of developing an ontology that formalizes the domain knowledge of city logistics.