The relational model for database management: version 2
The relational model for database management: version 2
Object identifiers, keys, and surrogates: object identifiers revisited
Theory and Practice of Object Systems
Relational database reverse engineering: algorithms to extract cardinality constraints
Data & Knowledge Engineering
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Designing data marts for data warehouses
ACM Transactions on Software Engineering and Methodology (TOSEM)
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Database Management Systems
Discovery of Constraints from Data for Information System Reverse Engineering
ASWEC '97 Proceedings of the Australian Software Engineering Conference
A Method for Demand-Driven Information Requirements Analysis in Data Warehousing Projects
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
YAM2: a multidimensional conceptual model extending UML
Information Systems
GORDIAN: efficient and scalable discovery of composite keys
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Database dependency discovery: a machine learning approach
AI Communications
Automating multidimensional design from ontologies
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Extracting entity-relationship diagram from a table-based legacy database
Journal of Systems and Software
Information Modeling and Relational Databases
Information Modeling and Relational Databases
Discovering functional dependencies for multidimensional design
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
Journal on data semantics X
Automatic validation of requirements to support multidimensional design
Data & Knowledge Engineering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Data-driven multidimensional design for OLAP
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
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Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. However, not all of them guarantee the entity identity. Many works have been introduced in the literature for discovering meaningful IDs, but all of them work at the logical or data level and they share some constraints inherent to the kind of approach. Addressing it at the logical level, we may miss some important data dependencies, while the cost to identify data dependencies at the data level may not be affordable. In this paper, we propose an approach for discovering fact IDs from domain ontologies. In our approach, we guide the process at the conceptual level and we introduce a set of pruning rules for improving the performance by reducing the number of ID hypotheses generated and to be verified with data. Finally, we also introduce a simulation over a case study to show the feasibility of our method.