Fundamentals of database systems
Fundamentals of database systems
An Ontological Model of an Information System
IEEE Transactions on Software Engineering
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
Database design with common sense business reasoning and learning
ACM Transactions on Database Systems (TODS)
An ontology-based expert system for database design
Data & Knowledge Engineering - Special issue on ER '97
A semiotics framework for information systems classification and development
Decision Support Systems
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
A generic framework for the modeling of contexts and its applications
Data & Knowledge Engineering
Naive Semantics to Support Automated Database Design
IEEE Transactions on Knowledge and Data Engineering
A Methodology for Learning Across Application Domains for Database Design Systems
IEEE Transactions on Knowledge and Data Engineering
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
Exploiting Domain Knowledge During the Automated Design of Object-Oriented Databases
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
A Conceptual-Modeling Approach to Extracting Data from the Web
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Understanding and Representing Relationship Semantics in Database Design
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
| Hi-index | 0.02 |
Relationships are an integral part of conceptual database design because they represent associations between entities from the real world. With the proliferation of both traditional, corporate, and now, web-based, databases representing similar entities, comparison of relationships across these databases is increasingly important. The ability to compare and resolve similarities in relationships in an automated manner is critical for merging diverse database designs, thus facilitating their effective use and reuse. The key to automating such comparisons is the capture and classification of the semantics of the relationship verb phrases. This research presents a multi-layered ontology for classifying verb phrases to capture their semantics. The fundamental layer captures the most elementary relationships between entities. The next, generic layer combines or arranges fundamental relationships to represent generic, realworld relationships. Finally, the contextual layer instantiates the generic relationships with specific verb phrases in different situations. Empirical testing of the ontology illustrates its effectiveness.