1991Journal of Educational Technology SystemsRequires access

Semantic Integrity Considerations for Effective Data Management: Important Issues for the Database Course

Mohammad Dadashzadeh, Mehdi Khosrowpour

Open publisher page 1 citations

Abstract

Semantic integrity constraints are time invariant properties of the world of interest being represented by a database. They constrain the values that may appear in a valid database instance. Despite their crucial role in data modeling, support for them has been largely ignored by database management system (DBMS) vendors. As a result, in most database applications today, either integrity constraints are not enforced resulting in database instances that are not reflections of reality, or precious programmer time is spent in specifying and enforcing integrity constraints as application program logic. Neither of the two situations are acceptable. This article calls for a more systematic coverage of semantic integrity constraints in the database course with the intent of training informed users who can voice their discontent and put pressure on the DBMS vendors to correct the current direction.

About this research paper

What this paper is about

Semantic integrity constraints are time invariant properties of the world of interest being represented by a database. They constrain the values that may appear in a valid database instance. Despite their crucial role in data modeling, support for them has been largely ignored by database management system (DBMS) vendors. As a result, in most database applications today, either integrity constraints are not enforced resulting in database instances that are not reflections of reality, or precious programmer time is spent in specifying and enforcing integrity constraints as application program logic. Neither of the two situations are acceptable. This article calls for a more systematic coverage of semantic integrity constraints in the database course with the intent of training informed users who can voice their discontent and put pressure on the DBMS vendors to correct the current direction.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Semantic integrity constraints are time invariant properties of the world of interest being represented by a database. They constrain the values that may appear in a valid database instance. Despite their crucial role in data modeling, support for them has been largely ignored by database management system (DBMS) vendors. As a result, in most database applications today, either integrity constraints are not enforced resulting in database instances that are not reflections of reality, or precious programmer time is spent in specifying and enforcing integrity constraints as application program logic. Neither of the two situations are acceptable. This article calls for a more systematic coverage of semantic integrity constraints in the database course with the intent of training informed users who can voice their discontent and put pressure on the DBMS vendors to correct the current direction.

Key concepts: Computer science, Database, Data integrity, Programmer, Database design, Database schema, Database testing, Physical data model

Related papers

Back to paper searchBrowse research topicsOriginal source
Semantic Integrity Considerations for Effective Data Management: Important Issues for the Database Course — Research Paper | ScholarLens