Model composition in a distributed environment

Organizations that operate from multiple locations have data and model resources that are distributed at various sites of the organization. Decision making is facilitated when these resources are leveraged to support model composition and execution, i.e., composing and executing a sequence of models in response to a particular decision making situation. In this paper, we address the problem of model composition when data sources (models and data) are distributed across multiple sites and have different scopes.

[1]  Ralf Michalski,et al.  MIDA: An open systems architecture for model-oriented integration of data and algorithms , 1997, Decis. Support Syst..

[2]  Ting-Peng Liang Development of a Knowledge-Based Model Management System: Special Focus Article , 1988, Oper. Res..

[3]  Calton Pu,et al.  An Adaptive Object-Oriented Approach to Integration and Access of Heterogeneous Information Sources , 1997, Distributed and Parallel Databases.

[4]  Andrew B. Whinston,et al.  Foundations of Decision Support Systems , 1981 .

[5]  Daniel Robey,et al.  Computer information systems and organization structure , 1981, CACM.

[6]  Douglas E. Comer,et al.  Internetworking with TCP/IP - Principles, Protocols, and Architectures, Fourth Edition , 1988 .

[7]  Robert W. Blanning,et al.  A relational framework for join implementation in model management systems , 1985, Decis. Support Syst..

[8]  Amitava Dutta,et al.  An Artificial Intelligence Approach to Model Management in Decision Support Systems , 1984, Computer.

[9]  Douglas E. Comer,et al.  Internetworking with TCP/IP, Volume 1: Principles, Protocols, and Architectures, Fourth Edition , 2000 .

[10]  Ramayya Krishnan,et al.  Reusing Mathematical Models in ASCEND , 1993 .

[11]  Kaushal Chari Model Composition Using Filter Spaces , 2002, Inf. Syst. Res..

[12]  M. Howard Williams,et al.  A Model for Query Decomposition and Answer Construction in Heterogeneous Distributed Database Systems , 1998, Journal of Intelligent Information Systems.

[13]  Ralph H. Sprague,et al.  Building Effective Decision Support Systems , 1982 .

[14]  Roger Alan Pick,et al.  Meta-modeling concepts and tools for model management: a systems approach , 1994 .

[15]  Xia Zhang,et al.  Object-oriented integration of heterogeneous distributed databases , 1993, Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation.

[16]  Robert W. Blanning,et al.  Model Integration Using Metagraphs , 1994, Inf. Syst. Res..

[17]  Ying Chen,et al.  Versatile: a scalable CORBA-based system for integrating distributed data , 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).

[18]  Michael J. Shaw,et al.  Applying machine learning to model management in decision support systems , 1988, Decis. Support Syst..

[19]  Andrew B. Whinston,et al.  NEW IDEAS IN DECISION SUPPORT , 1981 .

[20]  V. S. Mookerjee,et al.  A blackboard control architecture for model selection and sequencing , 1993 .

[21]  Xuequn Wu Query Processing and Transforming for a Federated Database System , 1997, DEXA.

[22]  Hemant K. Bhargava,et al.  Decision support on demand: Emerging electronic markets for decision technologies , 1997, Decis. Support Syst..

[23]  Hartmut J. Will,et al.  Model management systems , 1975 .

[24]  Andrew B. Whinston,et al.  Enterprise decision support using Intranet technology , 1997, Decis. Support Syst..

[25]  Manfred A. Jeusfeld,et al.  Distributed decision support and organizational connectivity: A case study , 1997, Decis. Support Syst..

[26]  Margaret K. Mayer Future trends in model management systems: parallel and distributed extensions , 1998, Decis. Support Syst..

[27]  Elisa Bertino,et al.  Applications of object-oriented technology to the integration of heterogeneous database systems , 1994, Distributed and Parallel Databases.

[28]  Robert W. Blanning,et al.  The Analysis of Assumptions in Model Bases Using Metagraphs , 1998 .

[29]  Jeffrey E. Kottemann,et al.  Model Integration and Modeling Languages: A Process Perspective , 1992, Inf. Syst. Res..

[30]  Anindya Datta,et al.  The cube data model: a conceptual model and algebra for on-line analytical processing in data warehouses , 1999, Decis. Support Syst..

[31]  Amjad Umar,et al.  Object-Oriented Client/Server Internet Environments , 1997 .