Paper Info
Title
An Ontology for Database Design Automation
Abstract
Although it is possible to encode a great deal of process knowledge about database design into a system, experience has shown that the contribution of a human designer extends beyond his or her knowledge of database design techniques. The next step in the evolution of automated database design tools is to incorporate knowledge and reasoning capabilities to support this higher level of participation. Doing so, requires some understanding of what different terms mean. This paper presents an ontology that can be used as a surrogate for the meaning of words in a database design system to simulate the contributions that a designer would make to a design session with a user based on the designer's general knowledge. The ontology classifies a term into one or more categories such as person, abstract good, or tradable document. It is comprised of a semantic network, a knowledge base containing information on the meaning of terms that have been classified, an expert system knowledge acquisition component, and a distance measure for assessing the distance between the meanings of terms. The ontology was tested by different types of users on a variety of problems and was shown to be quite effective.
Year
DOI
Venue
1997
10.1007/3-540-63699-4_2
ER
Keywords
Field
DocType
database design automation,database design,knowledge base,expert system,semantic network
Ontology (information science),Commonsense knowledge,Body of knowledge,Data mining,Knowledge representation and reasoning,Computer science,Knowledge-based systems,Database design,Knowledge base,Knowledge acquisition,Database
Conference
ISBN
Citations 
PageRank 
3-540-63699-4
10
9.97
References 
Authors
11
3
Name
Order
Citations
PageRank
Veda C. Storey12796542.19
Harald Ullrich24213.84
Shankar Sundaresan312024.83