The Unified Modeling Language user guide
The Unified Modeling Language user guide
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Requirements analysis and system design: developing information systems with UML
Requirements analysis and system design: developing information systems with UML
Object-Oriented Methods
Object-Process Methodology: A Holistic Systems Paradigm
Object-Process Methodology: A Holistic Systems Paradigm
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Ontology based object-oriented domain modelling: fundamental concepts
Requirements Engineering
Enterprise Ontology: Theory and Methodology
Enterprise Ontology: Theory and Methodology
Information Systems Research
Information Modeling and Relational Databases
Information Modeling and Relational Databases
Modern Systems Analysis and Design
Modern Systems Analysis and Design
Inference Rules of Semantic Dependencies in the Enterprise Modelling
Proceedings of the 2005 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the fourth SoMeT_W05
UML'99 Proceedings of the 2nd international conference on The unified modeling language: beyond the standard
Modal aspects of object types and part-whole relations and the de re/de dicto distinction
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
Enterprise Architecture at Work: Modelling, Communication, and Analysis
Enterprise Architecture at Work: Modelling, Communication, and Analysis
Modeling Approach for Integration and Evolution of Information System Conceptualizations
International Journal of Information System Modeling and Design
Conceptual Modeling Method for Separation of Concerns and Integration of Structure and Behavior
International Journal of Information System Modeling and Design
XML Documents Normalization Using GN-DTD
International Journal of Information Retrieval Research
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Information systems can be conceptualized in a number of ways. Most methodologies propose to analyze separately process and data semantics by projecting them into totally different diagram types. This system analysis and design tradition is very strong in most modeling approaches such as structured analysis as well as object-oriented design. Structural and behavioral aspects are complementary. They cannot be analyzed in isolation. Lack of a conceptual modeling approach, which can be used for verification of semantic integrity among various types of diagrams, is the cornerstone of frustration for information system architects. Inconsistency, incompleteness and ambiguity of conceptual views create difficulties in verification and validation of technical system architectures by business experts, who determine the organizational strategies. Consequently, the traditional information system methodologies are not able to bridge a communication gap among business experts and IT-system designers. Various interpretations of semantic relations in conceptual modeling approaches make the system analysis and design process more art than science. It creates difficulties to formulate comprehensible principles of decomposition and separation of concerns. Unambiguous definition of aggregation and generalization is necessary for breaking down information system functionality into coherent non-overlapping components. This article concentrates on conceptual modeling enhancements, which help to avoid semantic integrity problems in conceptualizations on various levels of abstraction. The presented conceptual modeling approach is based on a single type of diagram, which can be used for reasoning on semantic integrity between business process and data across organizational and technical system boundaries.