Semantic similarity relations and computation in schema integration
Schema integration plays an important part in research areas of heterogeneous information systems and semantic interoperability. How to acquire...
Different roles and mutual dependencies of data, information, and knowledge- An AI perspective on...
The unclear distinction between data, information, and knowledge has impaired their combination and utilization for the development of integrated...
An ontology-based expert system for database design
Although it is possible to encode a great deal of process knowledge about database design into a system, experience...
A logic-based information modelling language
A user-friendly language INFOMOD, intended for information modelling and information systems specification, is described. The language, based on predicate...
Specification preservation in schema transformations – application to semantics and statistics
Software design can be modeled as a sequence of transformations applied on initial specifications. In the database domain too,...
Reverse engineering of relational databases: Extraction of an EER model from a relational database
A methodology for extracting an extended Entity-Relationship (EER) model from a relational database is presented. Through a combination of...
Database reverse engineering: From the Relational to the Binary Relationship model
This paper describes an algorithmic method for transforming a relational database schema to a binaryrelationship one. The source schema...
A selective survey of the use of artificial intelligence for database design systems
One of the significant developments of research in Artificial Intelligence and databases is the adoption of knowledge-based techniques for...
Detecting summarizability in OLAP
The industry trend towards self-service business intelligence is impeded by the absence, in commercially-available information systems, of automated identification...
Complete rules for n-ary relationship cardinality constraints
An extended approach is presented for modeling data relationships that involve multiple entities. This approach unifies the relationship cardinality...
