Metadata extraction and indexing for map search in web documents

Qingzhao Tan, Prasenjit Mitra, C. Lee Giles

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

Abstract

In academic scientific articles, maps are widely used to provide the related geographic information and to give readers a visual understanding of the document content. As more digital documents containing maps become accessible on the Web, there is a growing demand for a Web search system to provide users with tools to retrieve documents based on the information available within a document's maps. In this paper, we design methods and algorithms to extract, identify, and index maps from academic and scientific documents in digital libraries. Experimental results show that our approach can accurately locate maps and significantly improve the retrieve quality for maps in digital documents.

Original languageEnglish
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
Pages1367-1368
Number of pages2
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA
Duration: 26 Oct 200830 Oct 2008

Other

Other17th ACM Conference on Information and Knowledge Management, CIKM'08
CityNapa Valley, CA
Period26/10/0830/10/08

    Fingerprint

Keywords

  • Digital library
  • Extraction
  • Indexing
  • Ranking function

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Decision Sciences(all)

Cite this

Tan, Q., Mitra, P., & Giles, C. L. (2008). Metadata extraction and indexing for map search in web documents. In International Conference on Information and Knowledge Management, Proceedings (pp. 1367-1368) https://doi.org/10.1145/1458082.1458282