Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
IAM: an inferential abstract modeling approach to design of conceptual schema
SIGMOD '77 Proceedings of the 1977 ACM SIGMOD international conference on Management of data
From information requirements to DBTG-data structures
Proceedings of the 1976 conference on Data : Abstraction, definition and structure
The derivation problem of summary data
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Query processing techniques in the summary-table-by-example database query language
ACM Transactions on Database Systems (TODS)
Aggregate evaluability in statistical databases
VLDB '89 Proceedings of the 15th international conference on Very large data bases
A universal-scheme approach to statistical databases containing homogeneous summary tables
ACM Transactions on Database Systems (TODS)
Information synthesis in statistical databases
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
CROSS-DB: a feature-extended multidimensional data model for statistical and scientific databases
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
Query optimization by using derivability in a data warehouse environment
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
On the Data Model and Access Method of Summary Data Management
IEEE Transactions on Knowledge and Data Engineering
Query Evaluability in Statistical Databases
IEEE Transactions on Knowledge and Data Engineering
Methods and Interpretation of Database Summarisation
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Additional facilities of a concentional DBMS to support interactive statistical analysis
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
For large meta information of national integrated statistics
SSDBM'81 Proceedings of the 1st LBL Workshop on Statistical database management
Statistical database research project in Japan and the CAS SDB project
SSDBM'83 Proceedings of the 2nd international workshop on Proceedings of the Second International Workshop on Statistical Database Management
Temporal summary table management and graphic interface
SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management
A visual interface for browsing and manipulating statistical entities
SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management
Research topics in statistical and scientific database management: the IV SSDBM
SSDBM'1988 Proceedings of the 4th international conference on Statistical and Scientific Database Management
The classification problem with semantically heterogeneous data
SSDBM'1988 Proceedings of the 4th international conference on Statistical and Scientific Database Management
A model of summary data and its applications in statistical databases
SSDBM'1988 Proceedings of the 4th international conference on Statistical and Scientific Database Management
An analytical approach to the inference of summary data of additive type
Theoretical Computer Science
Two approaches to the integration of heterogeneous data warehouses
Distributed and Parallel Databases
Fuzzy statistical dependency and normalisation in fuzzy statistical database
International Journal of Intelligent Information and Database Systems
Partial multi-dimensional schema merging in heterogeneous data warehouses
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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"Summary data" is a representation of "groups of facts." Statistics are a typical example of summary data, which is often a major component of databases that deal with huge domains, such as objects in a whole country or events that occurred over a long time range. Although any summary can be reproduced from the corresponding originals, these are often unavailable and the required data may or may not be derivable from the given summary data. A schema of summary data is defined as a relationship between classifications of object types and domains for attributes. Reclassification rules are introduced as semantic relations among classifications. Set theoretical lemmata provide an inference mechanism that judges derivability of required summary data from collected summary data, and derives the former, if it is derivable, from the latter. It is also shown how this inference mechanism improves a summary database in usability and logical data independence. Discussions are made with examples in the statistical field.