Towards a general theory of action and time
Artificial Intelligence
Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
The nature of semantic relations: a comparison of two approaches
Relational models of the lexicon
The entity-relationship approach
Information technology in action
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Object models: strategies, patterns, applications
Object models: strategies, patterns, applications
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
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
The relative importance of structural constraints and surface semantics in information modeling
Information Systems - Special issue: advanced information systems engineering
An ontology-based expert system for database design
Data & Knowledge Engineering - Special issue on ER '97
Data abstractions: why and how?
Data & Knowledge Engineering
Database description with SDM: a semantic database model
ACM Transactions on Database Systems (TODS)
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
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
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
Data Model Patterns: Conventions of Thought
Data Model Patterns: Conventions of Thought
Naive Semantics for Natural Language Understanding
Naive Semantics for Natural Language Understanding
Fundamentals of Database Systems with Cdrom and Book
Fundamentals of Database Systems with Cdrom and Book
Developing a meta model for the Bunge---Wand---Weber ontological constructs
Information Systems - Databases: Creation, management and utilization
Set Restrictions for Semantic Groupings
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
An Ontology for Classifying the Semantics of Relationships in Database Design
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
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
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
A Taxonomy of Recursive Relationships and Their Structural Validity in ER Modeling
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
Dealing with Semantic Heterogeneity During Data Integration
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
A framework for modeling and evaluating automatic semantic reconciliation
The VLDB Journal — The International Journal on Very Large Data Bases
Comparing Relationships in Conceptual Modeling: Mapping to Semantic Classifications
IEEE Transactions on Knowledge and Data Engineering
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Relationships are an integral part of the design of a database. Comparing and integrating relationships from heterogeneous databases requires that the relationships be mapped to each other or to a common classification. Identifying similarities and resolving differences in relationships across large data sources is a resource-intensive task that could benefit greatly from semi-automated approaches. A prerequisite to developing such approaches is a clear understanding of the semantics of relationships used in database design. This research presents a layered ontology for classifying the semantics of relationships. It consists of a core layer that captures the fundamental types of relationships between entities. A middle layer provides the internal context, obtained from entities surrounding the relationship, to interpret the fundamental types. The outer layer allows further interpretation using the external context, that is, the domain in which a relationship is being used. An initial assessment on relationships from a variety of application domains demonstrates that the ontology can be adequate and useful for comparing relationships across databases.