Data as models: an approach to implementing model management
Decision Support Systems
An introduction to structured modeling
Management Science
The SML language for structured modeling: levels 1 and 2
Operations Research
The SML language for structured modeling: levels 3 and 4
Operations Research
Model management systems: an overview
Decision Support Systems - Special issue on model management systems
Model management issues and directions
Decision Support Systems - Special issue on model management systems
Model type selection in an integrated DSS environment
Decision Support Systems - Special issue on model management systems
Meta-modeling concepts and tools for model management: a systems approach
Management Science
Optimization as an Internet Resource
Interfaces
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
IEEE Intelligent Systems
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Model Composition Using Filter Spaces
Information Systems Research
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Model Management in Electronic Markets for Decision Technologies: A Software Agent Approach
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Advanced Technology Track - Volume 5
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
Service-Oriented Architecture: A Field Guide to Integrating XML and Web Services
A real-time synchronization mechanism for collaborative model management
Decision Support Systems
Understanding SOA with Web Services (Independent Technology Guides)
Understanding SOA with Web Services (Independent Technology Guides)
Service-oriented architecture: programming model and product architecture
IBM Systems Journal
Model management decision environment: a web service prototype for spreadsheet models
Decision Support Systems
A framework for deriving semantic web services
Information Systems Frontiers
A web services framework for distributed model management
Information Systems Frontiers
Model-driven decision support systems: Concepts and research directions
Decision Support Systems
An XML-based schema definition for model sharing and reuse in a distributed environment
Decision Support Systems
The Dark Side of the Semantic Web
IEEE Intelligent Systems
The evolution of web-based optimisation: From ASP to e-Services
Decision Support Systems
A software architecture and framework for Web-based distributed Decision Support Systems
Decision Support Systems
SAWSDL: Semantic Annotations for WSDL and XML Schema
IEEE Internet Computing
ODDM: A framework for modelbases
Decision Support Systems
Electronic Commerce Research and Applications
A Design Science Research Methodology for Information Systems Research
Journal of Management Information Systems
Semantic Web Programming
A declarative approach to composing web services in dynamic environments
Decision Support Systems
The Development of an EDSS: Lessons Learned and Implications for DSS Research
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Toward a decision informatics paradigm: a real-time, information-based approach to decision making
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Decision models are organizational resources that need to be managed to facilitate sharing and reuse. In today's networked economy, the ubiquity of the Internet and distributed computing environments further amplifies the need and the potential for distributed model management system (DMMS) that manages decision models throughout the modeling lifecycle and throughout the extended enterprise. This paper presents a service-oriented architecture for DMMS. The proposed architecture leverages service-oriented design principles and recent developments in semantic web services to enable model sharing and reuse in a distributed setting. The paper describes a prototype implementation, case study scenarios, and a discussion highlighting lessons learned and implications for research and practice.