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A figure search engine architecture for a chemistry digital library

  • Sagnik Ray Choudhury
  • , Suppawong Tuarob
  • , Prasenjit Mitra
  • , Lior Rokach
  • , Andi Kirk
  • , Silvia Szep
  • , Donald Pellegrino
  • , Sue Jones
  • , C. Lee Giles
  • Pennsylvania State University
  • Faculty of Health Sciences of the Ben-Gurion University of the Negev
  • Dow Chemical Company

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

31 Citations (Scopus)

Abstract

Academic papers contain multiple figures representing important findings and experimental results; we present a search engine specifically focused on figures in academic documents. This search engine allows users to search on figures in approximately 150,000 chemistry journal articles though the method is easily extendable to other domains. Our system indexes figure caption and mentions extracted from the PDF in documents using a custom built extractor. Recall and precision performance of extracted figures is in the 80 to 90 % range. We give the frame work for the extraction algorithm, architecture and ranking function.

Original languageEnglish
Title of host publicationJCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages369-370
Number of pages2
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 - Indianapolis, IN, United States
Duration: 22 Jul 201326 Jul 2013

Publication series

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

Conference

Conference13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
Country/TerritoryUnited States
CityIndianapolis, IN
Period22/07/1326/07/13

Keywords

  • Figure search
  • Information extraction

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