A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
The effects of relational and entity-relationship data models on query performance of end users
International Journal of Man-Machine Studies
Comparing representations with relational and EER models
Communications of the ACM
Representing extended entity-relationship structures in relational databases: a modular approach
ACM Transactions on Database Systems (TODS)
An ontological evaluation of Niam's grammar for conceptual schema diagrams
ICIS '91 Proceedings of the twelfth international conference on Information systems
Tools and transformations—rigorous and otherwise—for practical database design
ACM Transactions on Database Systems (TODS)
Reverse engineering of relational databases: extraction of an EER model from a relational database
Data & Knowledge Engineering
A unifying object role modelling theory
Information Systems
Comparing data modeling formalisms
Communications of the ACM
ACM Computing Surveys (CSUR)
Tuning databases for high performance
ACM Computing Surveys (CSUR)
Expressing casual relationships in conceptual database schemas
Journal of Systems and Software
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
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
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
Understanding relationships with attributes in entity-relationship diagrams
ICIS '99 Proceedings of the 20th international conference on Information Systems
ICIS '99 Proceedings of the 20th international conference on Information Systems
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
User evaluations of IS as surrogates for objective performance
Information and Management
The effects of information request ambiguity and construct incongruence on query development
Decision Support Systems - Decision-making and E-commerce systems
Accounting,Information Technology,and Business Solutions
Accounting,Information Technology,and Business Solutions
Event Driven Business Solutions: Today's Revolution in Business and Information Technology
Event Driven Business Solutions: Today's Revolution in Business and Information Technology
CODASYS: a consulting tool for novice database designers
ACM SIGMIS Database
Decision Support in the Data Warehouse
Decision Support in the Data Warehouse
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
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
Complexity and clarity in conceptual modeling: comparison of mandatory and optional properties
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
The influence of database structure representation on database system learning and use
Journal of Management Information Systems
A conceptual model for the logical design of temporal databases
Decision Support Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
ACM Transactions on Database Systems (TODS)
Is Query Reuse Potentially Harmful? Anchoring and Adjustment in Adapting Existing Database Queries
Information Systems Research
Towards ontology-driven information systems: redesign and formalization of the REA ontology
BIS'07 Proceedings of the 10th international conference on Business information systems
Editor's comments: perspectives on time
MIS Quarterly
Journal of Database Management
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Ad hoc query formulation is an important task in effectively utilizing organizational data resources. To facilitate this task, managers and casual end-users are commonly presented with database views expressly constructed for their use. Differences in the way in which things, states, and events are represented in such views can affect a user's ability to understand the database, potentially leading to different levels of performance (i.e., accuracy, confidence, and prediction of the accuracy of their queries). An experiment was conducted over the Internet involving 342 subjects from 6 universities in North America and Europe to investigate these effects. When presented with an event-based view, subjects expressing low or very low comfort levels in reading entity-relationship diagrams expressed confidence that better predicted query accuracy although there were no significant differences in actual query accuracy or level of confidence expressed.