A Figure Search Engine Architecture for a Chemistry Digital Library

被引：0

作者：

Choudhury, Sagnik Ray ^{[1
]}

Tuarob, Suppawong ^{[2
]}

Mitra, Prasenjit ^{[1
,2
]}

Rokach, Lior ^{[3
]}

Kirk, Andi ^{[4
]}

Szep, Silvia ^{[4
]}

Pellegrino, Donald ^{[4
]}

Jones, Sue ^{[4
]}

Giles, C. Lee ^{[1
,2
]}

机构：

[1] Penn State Univ, Informat Sci & Technol, University Pk, PA 16802 USA

[2] Penn State Univ, Comp Sci & Engn, University Pk, PA 16802 USA

[3] Ben Gurion Univ Negev, Informat Syst Engn, IL-84105 Beer Sheva, Israel

[4] Dow Chem Co USA, Spring House, PA 19477 USA

来源：

JCDL'13: PROCEEDINGS OF THE 13TH ACM/IEEE-CS JOINT CONFERENCE ON DIGITAL LIBRARIES | 2013年

基金：

美国国家科学基金会;

关键词：

Information Extraction; Figure Search;

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

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.

引用

页码：369 / 370

页数：2

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