Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
The Rational Unified Process: An Introduction, Second Edition
The Rational Unified Process: An Introduction, Second Edition
An Overview of Repository Technology
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Representing and reasoning about semantic conflicts in heterogeneous information systems
Representing and reasoning about semantic conflicts in heterogeneous information systems
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
AI Magazine - Special issue on semantic integration
Semantic-integration research in the database community
AI Magazine - Special issue on semantic integration
Queue - Semi-structured Data
The Challenges of Building Advanced Mechatronic Systems
FOSE '07 2007 Future of Software Engineering
Systems Engineering with SysML/UML: Modeling, Analysis, Design
Systems Engineering with SysML/UML: Modeling, Analysis, Design
Integrating Production Automation Expert Knowledge Across Engineering Stakeholder Domains
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
Software and Systems Modeling (SoSyM)
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Software-intensive systems in business IT and industrial automation have become increasingly complex due to the need for more flexible system re-configuration, business and engineering processes. Systems and software engineering projects depend on the cooperation of experts from heterogeneous engineering disciplines using tools that were not designed to cooperate seamlessly. Current multi-discipline engineering is often ad hoc and fragile, making the evolution of tools and re-use of integration solutions across projects unnecessarily inefficient and risky. This paper describes an ontology-based methodology, the so-called Engineering Knowledge Base (EKB), for engineering environment integration in multi-disciplinary engineering projects. The EKB stores explicit engineering knowledge to support access to and management of engineering models across tools and disciplines by providing a) data integration based on mappings between local and domain-level engineering concepts; b) transformations between local engineering concepts; and c) advanced applications built on these foundations, e.g., end-to-end analyses. As a result experts from different organizations may use their well-known tools and data models, and can access data from other tools in their syntax. The methodology has been evaluated in an industrial application domain and initial evaluation results indicate an effort reduction for re-use in new engineering projects and finding defects earlier in the engineering process.