The effects of relational and entity-relationship data models on query performance of end users
International Journal of Man-Machine Studies
Data analysis and learning: an experimental study of data modeling tools
International Journal of Man-Machine Studies
Comparing representations with relational and EER models
Communications of the ACM
Explaining ambiguity in a formal query language
ACM Transactions on Database Systems (TODS)
End-user training and computing effectiveness in public agencies: An empirical study
Journal of Management Information Systems
A framework for studying human error behavior in conceptual database modeling
Information and Management
Improving conceptual database design through feedback
International Journal of Human-Computer Studies
Subtyping and polymorphism in object-role modelling
Data & Knowledge Engineering
Framework for a conceptual query language for capturing relationship semantics in databases
Framework for a conceptual query language for capturing relationship semantics in databases
A general explanation component for conceptual modeling in CASE environments
ACM Transactions on Information Systems (TOIS)
Conceptual schema and relational database design (2nd ed.)
Conceptual schema and relational database design (2nd ed.)
Metadata view graphs: a framework for query optimization and metadata management
Metadata view graphs: a framework for query optimization and metadata management
Maximal objects and the semantics of universal relation databases
ACM Transactions on Database Systems (TODS)
A formal basis for an abbreviated concept-based query language
Data & Knowledge Engineering
Extensions to Query Languages for Graph Traversal Problems
IEEE Transactions on Knowledge and Data Engineering
A Universal Relation Data Model with Semantic Abstractions
IEEE Transactions on Knowledge and Data Engineering
KDA: A Knowledge-Based Database Assistant with a Query Guiding Facility
IEEE Transactions on Knowledge and Data Engineering
Towards the Correctness and Consistency of Update Semantics in Semantic Database Schema
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
An Exploratory Study of Ad Hoc Query Languages to Databases
Proceedings of the Eighth International Conference on Data Engineering
Query by Diagramm: A Graphic Query System
Proceedings of the Seventh International Conference on Enity-Relationship Approach: A Bridge to the User
Abbreviated Query Interpretation in Extended Entity-Relationship Oriented Databases
Proceedings of the Eight International Conference on Enity-Relationship Approach to Database Design and Querying
Natural Language Restatement of Queries Expressed in a Graphical Language
ER '92 Proceedings of the 11th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Database Schema Transformation and Optimization
OOER '95 Proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling
ConQuer: A Conceptual Query Language
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
Conceptual Queries Using ConQuer-II
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
Explaining Conceptual Models - An Architecture and Design Principles
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
Improving Query Optimization with Instance-Based Semantic Constraints
DS-6 Proceedings of the Sixth IFIP TC-2 Working Conference on Data Semantics: Database Applications Semantics
End user logical database design: the structured entity model approach
End user logical database design: the structured entity model approach
A knowledge level user interface using the entity-relationship model
A knowledge level user interface using the entity-relationship model
Natural Language Query Filtration in the Conceptual Query Language
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Information System Track-Organizational Systems and Technology - Volume 3
An intelligent approach to handling imperfect information in concept-based natural language queries
ACM Transactions on Information Systems (TOIS)
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Research on the use of conceptual information in database queries has primarily focused on semantic query optimization. Studies on the important aspects of conceptual query formulation are currently not as extensive. Only a relatively small number of works exist in this area. The existing concept-based query languages are similar in the sense that they require the user to specify the entire query path in formulating a query. In this study, we present the Conceptual Query Language (CQL), which does not require entire query paths to be specified but only their terminal points. CQL is an abbreviated concept-based query language that allows for the conceptual abstraction of database queries and exploits the rich semantics of semantic data models to ease and facilitate query formulation. CQL was developed with the aim of providing typical end-users like secretaries and administrators an easy-to-use database query interface for querying and report generation. A CQL prototype has been implemented and currently runs as a front-end to an underlying relational DBMS. A statistical experiment conducted to probe end-users' reaction to using CQL vis-à-vis SQL as a database query language indicates that end-users perform better with CQL and have a better perception of it than of SQL. This paper discusses the design of CQL, the strategies for CQL query processing, and the comparative study between CQL and SQL.