Implementing imprecision in information systems
Information Sciences: an International Journal - Special issue on expert systems
ARES: a relational database with the capability of performing flexible interpretation of queries
IEEE Transactions on Software Engineering
VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
Providing cooperative answers in knowledge-based type abstraction and refinement
Methodologies for intelligent systems, 5
Decision support and expert systems (4th ed.): management support systems
Decision support and expert systems (4th ed.): management support systems
Exploiting user models to avoid misconstruals
Nonstandard queries and nonstandard answers
Intelligent database design using the unifying semantic model
Information and Management
CoBase: a scalable and extensible cooperative information system
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Enterprise-Wide Data Modelling
Enterprise-Wide Data Modelling
FLEX: A Tolerant and Cooperative User Interface to Databases
IEEE Transactions on Knowledge and Data Engineering
Intensional Answers to Database Queries
IEEE Transactions on Knowledge and Data Engineering
A Structured Approach for Cooperative Query Answering
IEEE Transactions on Knowledge and Data Engineering
APPROXIMATE: A Query Processor that Produces Monotonically Improving Approximate Answers
IEEE Transactions on Knowledge and Data Engineering
Using Type Inference and Induced Rules to Provide Intensional Answers
Proceedings of the Seventh International Conference on Data Engineering
An Information-Theoretic Study on Aggregate Responses
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Explanation for Cooperative Information Systems
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Development of an Intelligent Web Interface to Online Library Catalog Databases
APSEC '99 Proceedings of the Sixth Asia Pacific Software Engineering Conference
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Incremental controlled relaxation of failing flexible queries
Journal of Intelligent Information Systems
Cooperative answering to flexible queries via a tolerance relation
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
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As database users adopt a query language to obtain information from a database, a more intelligent query answering system is increasingly needed that cooperates with the users to provide informative responses by understanding the intent behind a query. The effectiveness of decision support would improve significantly if the query answering system returned approximate answers rather than a null information response when there is no matching data available. Even when exact answers are found, neighboring information is still useful to users if the query is intended to explore some hypothetical information or abstract general fact. This chapter proposes an abstraction hierarchy as a framework to practically derive such approximate answers from ordinary everyday databases. It provides a knowledge abstraction database to facilitate the approximate query answering. The knowledge abstraction database specifically adopts an abstraction approach to extract semantic data relationships from the underlying database, and uses a multi-level hierarchy for coupling multiple levels of abstraction knowledge and data values. In cooperation with the underlying database, the knowledge abstraction database allows the relaxation of query conditions so that the original query scope can be broadened and thus information approximate to exact answers can be obtained. Conceptually abstract queries can also be posed to provide a less rigid query interface. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database systems.