Abstract
Today, information systems are widely employed for administrating
large amounts of data of various application areas. Due to
historical, organizational and technical reasons their infrastructure
is usually characterized by the keywords distribution
and heterogeneity. To enable cooperation among distributed and
heterogeneous system components and to ensure one common access,
it is frequently required to achieve interoperability and to further
integrate them logically. However, distribution and
heterogeneity represent major barriers against achieving these goals.
This thesis presents 3 systems realizing middleware to overcome these
barriers. COMan integrates an object-oriented application and
a relational database, IRO-DB focuses on the integration of arbitrary
relational as well as oo. database systems and OASIS deals with the
integration of various security concepts at an
abstract description level.
All these systems achieve logical integration. They provide
transparency with respect to distribution and heterogeneity while
preserving the autonomy of the system components being integrated
as far as possible. To allow for a flexible and generic integration
all systems realize a metadata-based approach. This metadata-based
approach prevents the hard-coding and distribution of the
transformation knowledge, required due to distribution and
heterogeneity aspects, over various system components. Rather, it is
centralized in a reified way within a repository, thus, resulting in
a system able to perform the essential transformations automatically
and open to adapt to changing requirements.
Based on the experience gained by developing these 3 systems, a
criteria catalogue is developed allowing to categorize and evaluate
different kinds of metadata-based middleware.
| Original language | English |
|---|---|
| Publication status | Published - Apr 1999 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 16 Peace, Justice and Strong Institutions
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
- 101004 Biomathematics
- 101027 Dynamical systems
- 101028 Mathematical modelling
- 101029 Mathematical statistics
- 101014 Numerical mathematics
- 101015 Operations research
- 101016 Optimisation
- 101017 Game theory
- 101018 Statistics
- 101019 Stochastics
- 101024 Probability theory
- 101026 Time series analysis
- 102 Computer Sciences
- 102003 Image processing
- 102004 Bioinformatics
- 102013 Human-computer interaction
- 102018 Artificial neural networks
- 103029 Statistical physics
- 106005 Bioinformatics
- 106007 Biostatistics
- 202017 Embedded systems
- 202035 Robotics
- 202036 Sensor systems
- 202037 Signal processing
- 305901 Computer-aided diagnosis and therapy
- 305905 Medical informatics
- 305907 Medical statistics
- 102032 Computational intelligence
- 101031 Approximation theory
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