NDLI: Using Lucene to index and search the digitized 1940 US census

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Using Lucene to index and search the digitized 1940 US census

Content Provider	ACM Digital Library
Author	Diesendruck, Liana Marini, Luigi McHenry, Kenton Kooper, Rob
Abstract	An improved approach towards enabling search capabilities over large digitized document archives is described, in which Lucene indices were incorporated in a framework developed to provide automatic searchable access to the 1940 US Census, a collection composed of digitized handwritten forms. As an alternative to trying to recognize the handwritten text in the images, Word Spotting feature vectors are used to describe each cell's content. Instead of querying the system using regular ASCII text, any query is rendered as an image and a ranked list of matching results is presented to the user. Among other pre-processing steps required by the framework, an index must be compiled to provide fast access to the feature vectors. The advantages and drawbacks of using Lucene to index these vectors instead of other indexing methods are discussed in light of the challenges confronted when dealing with digitized document collections of considerable size.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781450321709
DOI	10.1145/2484762.2484796
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-07-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Content based retrieval Searchable access Approximate similarity search Lucene
Content Type	Text
Resource Type	Article

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