Data summarization ontology-based query processing

  • Authors:

  • Hai Wang;Shouhong Wang

  • Affiliations:

  • Sobey School of Business, Saint Mary's University, 903 Robie Street, Halifax, NS, Canada B3H 2W3;Charlton College of Business, University of Massachusetts Dartmouth, 285 Old Westport Road, Dartmouth, MA 02747-2300, USA

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2013

Quantified Score

Hi-index 12.05

Visualization

Abstract

Data summarization has recently received considerable attention in the knowledge systems community. This paper discusses the design of data summarization query system. Based on an initial analysis of requirement representations in data summarization, the study develops a generic organization of ontology for data summarization query system. Furthermore, this paper proposes a framework of ontology-based query language of data summarization based on the proposed ontology structure. A prototype project of data summarization ontology-based Query by Examples (QBE) for summarizing the data incompleteness demonstrates the effectiveness of the proposed framework.