FLEX: A Tolerant and Cooperative User Interface to Databases
IEEE Transactions on Knowledge and Data Engineering
A Structured Approach for Cooperative Query Answering
IEEE Transactions on Knowledge and Data Engineering
The Knowledge-Based Object-Oriented PICQUERY+ Language
IEEE Transactions on Knowledge and Data Engineering
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Incomplete path expressions and their disambiguation
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
An error-based conceptual clustering method for providing approximate query answers
Communications of the ACM - Electronic supplement to the December issue
A Knowledge-Based Approach for Retrieving Images by Content
IEEE Transactions on Knowledge and Data Engineering
A Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
IEEE Transactions on Knowledge and Data Engineering
The EVE Approach: View Synchronization in Dynamic Distributed Environments
IEEE Transactions on Knowledge and Data Engineering
Approximate Query Translation Across Heterogeneous Information Sources
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Approximate query mapping: Accounting for translation closeness
The VLDB Journal — The International Journal on Very Large Data Bases
A semantically advanced querying methodology for medical knowledge and decision support
Knowledge media in healthcare
Semantic Errors in SQL Queries: A Quite Complete List
QSIC '04 Proceedings of the Quality Software, Fourth International Conference
Methods for automated concept mapping between medical databases
Journal of Biomedical Informatics
A history-driven approach at evolving views under meta data changes
Knowledge and Information Systems
| Hi-index | 0.00 |
CoBase, a cooperative database, is a new type of distributed database that integrates knowledge base technology with database systems to provide cooperative (approximate and conceptual) query answering. Based on the database schema and application characteristics, data are organized into conceptual (type abstraction) hierarchies. The higher levels of the hierarchy provide a more abstract data representation than the lower levels. Generalization (moving up in the hierarchy), specialization (moving down in the hierarchy) and association (moving between hierarchies) are the three key operations in deriving cooperative query answers.Relaxation in CoBase can also be specified explicitly in the query by the user or calling program through cooperative operators. We have extended SQL to CSQL by adding cooperative primitives. We describe the CoBase software implementation, including an inter-module data protocol that provides a uniform module interface. This modular approach provides flexibility in adding new relaxation modules and simplifies software maintenance.CoBase uses LOOM as its knowledge representation and inference system and supports relational data bases (e.g. Oracle and Sybase). We have demonstrated the feasibility and functionality of CoBase on top of a Transportation Database. The CoBase methodology has also been adopted in the multi-media medical distributed database project at UCLA, which provides approximate query answers to medical queries.