Exploiting Ontologies for Search Result Diversification

Abstract

We report our systems and experimental results in the diversity task of web track 2012. Our goal is to exploit the structured data, i.e., the ontologies, as well as unstructured data for search result diversification. We use two strategies in the diversification systems. The first strategy combines the ontology and unstructured data to extract integrated subtopics. It then uses the coverage based diversification function to diversify documents based on the integrated subtopics. The second strategy exploits the structure information in the ontology for diversification. We use a structural diversification to diversify documents based on the structural relationships of their subtopics in the ontology.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2012
Accession Number
ADA581311

Entities

People

  • Hui Fang
  • Wei Xing Zheng

Organizations

  • University of Delaware

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Delaware
  • Equations
  • Extraction
  • Governments
  • Hierarchies
  • Information Operations
  • Instructions
  • Ontologies
  • Standards
  • Universities

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Information Retrieval