Petri nets: an introduction
ACM Computing Surveys (CSUR)
Conceptual schema and relational database design: a fact oriented approach
Conceptual schema and relational database design: a fact oriented approach
The relational model for database management: version 2
The relational model for database management: version 2
Expressiveness in conceptual data modelling
Data & Knowledge Engineering
Understanding Quality in Conceptual Modeling
IEEE Software
Conceptual schema and relational database design (2nd ed.)
Conceptual schema and relational database design (2nd ed.)
Entity-relationship and object-oriented data modeling—an experimental comparison of design quality
Data & Knowledge Engineering
English, Chinese and ER diagrams
Data & Knowledge Engineering - Special issue: natural language for data bases (workshop 1996)
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
Data modeling in UML and ORM: a comparison
Journal of Database Management - Special issue on information modeling methods
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Information Engineering: Introduction
Information Engineering: Introduction
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Information Systems - Special issue on Databases: creation, management and utilization
Primer in Petri Net Design
Enhancing information systems management with natural language processing techniques
Data & Knowledge Engineering - DKE 40
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Unified Modeling Language Reference Manual, The (2nd Edition)
Unified Modeling Language Reference Manual, The (2nd Edition)
Unified Modeling Language User Guide, The (2nd Edition) (Addison-Wesley Object Technology Series)
Unified Modeling Language User Guide, The (2nd Edition) (Addison-Wesley Object Technology Series)
Comparing Relationships in Conceptual Modeling: Mapping to Semantic Classifications
IEEE Transactions on Knowledge and Data Engineering
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Databases, Types and the Relational Model (3rd Edition)
Databases, Types and the Relational Model (3rd Edition)
Axiomatic Theory Of Design Modeling
Journal of Integrated Design & Process Science
Propositional Logic Constraint Patterns and Their Use in UML-Based Conceptual Modeling and Analysis
IEEE Transactions on Knowledge and Data Engineering
English sentence structures and EER modeling
APCCM '07 Proceedings of the fourth Asia-Pacific conference on Comceptual modelling - Volume 67
Recursive object model (ROM)-Modelling of linguistic information in engineering design
Computers in Industry
Environmental Modelling & Software
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
International Journal of Intelligent Information and Database Systems
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Due to the latest advances of information technology and the increasing complexity of engineering applications, it is becoming more and more important to model semantic information. There are many modeling methodologies to do the work of modeling semantic information instead of natural language processing. Since this field is very broad, the comparison discussed here is not an exhaustive study but rather the partial views of the coauthors from our own perspectives. In the present paper we give a review of the literature of conceptual models especially static one and then classify them into four type models namely structure-based model, object-oriented model, knowledge semantic-based model, and web semantic-based model. Based on the classification given above, a hierarchy structured criteria is given. According to the criteria we pick one or two representative conceptual models from each type to conduct the comparison. We compare the following five aspects of conceptual models: expressivity, clarity, semantics, formal foundation, and application fields. The comparative study shows that different models have different features and fit different fields of engineering applications. The present comparison study is useful for users to understand and choose right conceptual models combining with specific requirements of engineering applications.