IMAS—an integrated manufacturing data administration system
Data & Knowledge Engineering - First International Conference on Data and Knowledge Systems for Manufacturing a
The composite information systems laboratory (CISL) project a MIT
Data Engineering
A metadata system for information modeling and integration
ISCI '90 Proceedings of the first international conference on systems integration on Systems integration '90
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Heterogeneous distributed database systems for production use
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Information Resources Management in Heterogeneous, Distributed Environments: A Metadatabase Approach
IEEE Transactions on Software Engineering
Open System Architecture for CIM
Open System Architecture for CIM
Structured Database System Analysis and Design through Entity Relationship Approach
Proceedings of the Fourth International Conference on Entity-Relationship Approach
Metadatabase solutions for enterprise information integration problems
ACM SIGMIS Database
Decomposition of Knowledge for Concurrent Processing
IEEE Transactions on Knowledge and Data Engineering
A metadatabase-enabled executive information system (part A): a flexible and adaptable architecture
Decision Support Systems
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The Metadatabase project is a multi-year research effort at Rensselaer Polytechnic Institute. Sponsored by industry (ALCOA, DEC, GE, CM, IBM and other) through Rensselaer's Computer Integrated Manufacturing Program, this project seeks to develop novel concepts, methods and techniques for achieving information integration across major functional systems pertaining to computerized manufacturing enterprises. Thus, the metadatabase model emcompasses the generic tasks of heterogeneous, distributed, aand autonomous databases administration, but also includes information resources management and integration of concurrent (functional) systems. The model entails (1) an integrated data and knowledge modeling and representation method; (2) an online kernel (the metadatabase) for information modeling and management; (3) metadatabase assisted global query formulation and processing; (4) a concurrent architectural whereby global synergies are achieved through (distributed) metadata management rather than synchronization of (distributed) database processing; and (5) a theory of information requirements for integration. A metadatabase prototype was recently demonstrated to the industrial sponsors. The basic concept of the metadatabase model is discussed in this paper.