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Translation of fuzzy queries for relational database system
1Knowledge Systems Laboratory, Department of Information Engineering, University of Illinois, Chicago, IL 60680.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
This study introduces a database skeleton to bridge user and system understanding of data. This structure aids in translating and clarifying fuzzy queries using conceptual graphs.
Area of Science:
- Computer Science
- Database Management
- Information Retrieval
Background:
- Traditional databases struggle with ambiguous user queries.
- Bridging the gap between user perception and system data representation is challenging.
- Existing query languages lack robust mechanisms for handling fuzzy or imprecise information.
Purpose of the Study:
- To introduce the concept of a database skeleton for improved data interpretation.
- To describe a novel approach for translating and disambiguating fuzzy database queries.
- To present the eXtensible Query Language (XQL) and its translator.
Main Methods:
- Development of a database skeleton comprising a conceptual schema (conceptual graphs) and a relational schema (information graph).
- Utilizing conceptual graphs within the database skeleton to analyze and clarify query semantics.
- Introduction and detailed description of the eXtensible Query Language (XQL) and its associated translator.
Main Results:
- The database skeleton effectively models both user and system perspectives of data relationships.
- Conceptual graphs facilitate the disambiguation of fuzzy queries by analyzing their meaning within the database context.
- The eXtensible Query Language (XQL) provides a mechanism for querying databases with enhanced precision.
Conclusions:
- The database skeleton offers a robust framework for managing complex data interrelationships.
- Employing conceptual graphs within the skeleton significantly enhances fuzzy query processing.
- The eXtensible Query Language (XQL) represents a promising advancement in database query capabilities.
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