Image Browsing and Natural Language Paraphrases of Semantic Web Annotations

Abstract

Recently, there has been interest in marking up digital images with annotations describing the content of the images using Web-based ontologies encoded in the W3C's Web Ontology Language (OWL). The annotations are subsequently exploited to improve the user experience of large collections of images, whether by enhanced search or by a structured browsing experience. In the latter case, the complexity and unfamiliarity of logic-based ontology languages may do more to impede, than aid, the user. To alleviate this problem, the authors propose using automatic generation of natural language (NL) paraphrases of OWL statements to assist browsing image content. In this paper, they provide an overview of their NL generation approach and an empirical evaluation of the use of their paraphrases for image browsing.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA448194

Entities

People

  • Bijan Parsia
  • Christian Halaschek-wiener
  • James Hendler
  • Jennifer Golbeck
  • Vladimir Kolovski

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automated Text Summarization
  • Demographic Cohorts
  • Digital Images
  • Formal Languages
  • Images
  • Information Operations
  • Language
  • Language Translation
  • Natural Languages
  • Ontologies
  • Pilot Studies
  • Standards
  • Template Patterns
  • Test And Evaluation
  • Translations

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Database Systems and Applications
  • Image Processing and Computer Vision.