An Approach to Integrating Query Refinement in SQL

Abstract

With the emergence of applications that require content based similarity retrieval, techniques to support such a retrieval paradigm over database systems have emerged as a critical area of research. User subjectivity is an important aspect of such queries, i.e., which objects are relevant to the user and which are not depends on the perception of the user. Query refinement is used to handle user subjectivity in similarity search systems. This paper explores how to enhance database systems with query refinement for content-based (similarity) searches in object-relational databases. Query refinement is achieved through relevance feedback where the user judges individual result tuples and the system adapts and restructures the query to better reflect the users information need. We present a query refinement framework and an array of strategies for refinement that address different aspects of the problem. Our experiments demonstrate the effectiveness of the query refinement techniques proposed in this paper.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA466134

Entities

People

  • Kaushik Chakrabarti
  • Michael Ortega-binderberger
  • Sharad Mehrotra

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Carbon Monoxide
  • Commerce
  • Data Analysis
  • Data Sets
  • Database Management Systems
  • Databases
  • Dielectric Gases
  • Electronic Commerce
  • Feedback
  • Information Retrieval
  • Information Systems
  • Mental Processes
  • Object-Relational Database Management Systems
  • Two Dimensional
  • User Interface

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Systems Analysis and Design