Conceptual queries using ConQuer-II

52Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Formulating non-trivial queries in relational languages such as SQL and QBE can prove daunting to end users. ConQuer is a conceptual query language that allows users to formulate queries naturally in terms of elementary relationships, operators such as “and”, “or”, “not” and “maybe”, contextual forclauses and object-correlation, thus avoiding the need to deal explicitly with implementation details such as relational tables, null values, outer joins, groupby clauses and correlated subqueries. While most conceptual query languages are based on the Entity-Relationship approach, ConQuer is based on Object- Role Modeling (ORM), which exposes semantic domains as conceptual object types, allowing queries to be formulated via paths through the information space. As a result of experience with the first implementation of ConQuer, the language has been substantially revised and extended to become ConQuer-II, and a new tool, ActiveQuery, has been developed with an improved interface. ConQuer-II's new features such as arbitrary correlation and subtyping enable it to be used for a wide range of advanced conceptual queries.

Cite

CITATION STYLE

APA

Bloesch, A. C., & Halpin, T. A. (1997). Conceptual queries using ConQuer-II. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1331, pp. 113–126). Springer Verlag. https://doi.org/10.1007/3-540-63699-4_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free