Low-cost semantic enhancement to digital library metadata and indexing: Simple yet effective strategies

David Bainbridge, Annika Hinze, Sally Jo Cunningham, J. Stephen Downie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing and query interface) would require major technological effort, and would most likely be disruptive. In this paper, we describe ways to use the results of semantic analysis and disambiguation, while retaining an existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into existing digital library metadata and index structures, and thus incorporated without the need for architecture modifications.

Original languageEnglish (US)
Title of host publicationJCDL 2016 - Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages93-102
Number of pages10
ISBN (Electronic)9781450342292
DOIs
StatePublished - Sep 1 2016
Event16th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2016 - Newark, United States
Duration: Jun 19 2016Jun 23 2016

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
Volume2016-September
ISSN (Print)1552-5996

Other

Other16th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2016
Country/TerritoryUnited States
CityNewark
Period6/19/166/23/16

Keywords

  • Semantic analysis
  • disambiguation
  • indexing
  • semantic enrichment

ASJC Scopus subject areas

  • General Engineering

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