Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
A comprehensive conceptual analysis using ER and conceptual graphs
Journal of Experimental & Theoretical Artificial Intelligence - Special issue: conceptual graphs workshop
The entity-relationship approach
Information technology in action
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Modelling of set membership: the notion and the issues
Data & Knowledge Engineering
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Impediments in the use of explicit ontologies for KBS development
International Journal of Human-Computer Studies
The relative importance of structural constraints and surface semantics in information modeling
Information Systems - Special issue: advanced information systems engineering
A first course in database systems
A first course in database systems
English, Chinese and ER diagrams
Data & Knowledge Engineering - Special issue: natural language for data bases (workshop 1996)
Issues and approaches of database integration
Communications of the ACM
Database design with common sense business reasoning and learning
ACM Transactions on Database Systems (TODS)
Information modeling in the time of the revolution
Information Systems - Special issue: selected papers from the 9th International Conference on advanced information systems engineering (CA ISE '97)
Generalized directive models: integrating model development and knowledge acquisition
International Journal of Human-Computer Studies
An ontology-based expert system for database design
Data & Knowledge Engineering - Special issue on ER '97
Data abstractions: why and how?
Data & Knowledge Engineering
Improving database design through the analysis of relationships
ACM Transactions on Database Systems (TODS)
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
A generic framework for the modeling of contexts and its applications
Data & Knowledge Engineering
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
Communications of the ACM - Ontology: different ways of representing the same concept
Naive Semantics for Natural Language Understanding
Naive Semantics for Natural Language Understanding
Supporting ontological analysis of taxonomic relationships
Data & Knowledge Engineering - ER2000
Understanding semantic relationships
The VLDB Journal — The International Journal on Very Large Data Bases
A Methodology for Learning Across Application Domains for Database Design Systems
IEEE Transactions on Knowledge and Data Engineering
IEEE Intelligent Systems
Guest Editors' Introduction: Ontologies
IEEE Intelligent Systems
IEEE Intelligent Systems
Temporal representation and reasoning
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Classifying the Semantics of Relationships in Conceptual Modeling by Categorization of Roles
NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
Conceptual Modelling and Ontology: Possibilities and Pitfalls
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
Association: A Database Abstraction for Semantic Modelling
ER '81 Proceedings of the Second International Conference on the Entity-Relationship Approach to Information Modeling and Analysis
Modeling Semantics with Concept Abstraction in the EARL Data Model
Proceedings of the Eight International Conference on Enity-Relationship Approach to Database Design and Querying
A Conceptual-Modeling Approach to Extracting Data from the Web
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests
Information Systems Research
Accommodating instance heterogeneities in database integration
Decision Support Systems
Journal of Management Information Systems
ACM Transactions on Database Systems (TODS)
The dream of a global knowledge network—A new approach
Journal on Computing and Cultural Heritage (JOCCH)
Ontology-based knowledge management for joint venture projects
Expert Systems with Applications: An International Journal
A hybrid approach to semantic web services matchmaking
International Journal of Approximate Reasoning
A semantic-based approach to content abstraction and annotation for content management
Expert Systems with Applications: An International Journal
Activity labeling in process modeling: Empirical insights and recommendations
Information Systems
A multi-strategy knowledge interoperability framework for heterogeneous learning objects
Expert Systems with Applications: An International Journal
Ontology creation: extraction of domain knowledge from web documents
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Modeling semantic information in engineering applications: a review
Artificial Intelligence Review
Development of a semantic-based content mapping mechanism for information retrieval
Expert Systems with Applications: An International Journal
On the Usage of Labels and Icons in Business Process Modeling
International Journal of Information System Modeling and Design
Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions
International Journal of Information System Modeling and Design
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Much of the research that deals with understanding the real world and representing it in a conceptual model uses some form of the entity-relationship model as a means of representation. This research proposes an ontology for classifying relationship verb phrases based upon the domain and context of the application within which the relationship appears. The classification categories to which the verb phrases are mapped were developed based upon prior research in databases, ontologies, and linguistics. The usefulness of the ontology for comparing relationships when used in conjunction with an entity ontology is discussed. Together, these ontologies can be effective in comparing two conceptual database designs for integration and validation. Empirical testing of the ontology on a number of relationships from different application domains and contexts illustrates the usefulness of the research.