reference information extraction and processing using random conditional fields

Clicks: 129
ID: 221198
2012
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Abstract
Fostering both the creation and the linking of data with the scope of supporting the growth of the Linked Data Web requires us to improve the acquisition and extraction mechanisms of the underlying semantic metadata. This is particularly important for the scientific publishing domain, where currently most of the datasets are being created in an author-driven, manual manner. In addition, such datasets capture only fragments of the complete metadata, omitting usually, important elements such as the references, although they represent valuable information. In this paper we present an approach that aims at dealing with this aspect of extraction and processing of reference information. The experimental evaluation shows that, currently, our solution handles very well diverse types of reference format, thus making it usable for, or adaptable to, any area of scientific publishing.
Reference Key
groza2012informationreference Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Tudor Groza;AAstrand Grimnes;Siegfried Handschuh
Journal research papers in education
Year 2012
DOI
10.6017/ital.v31i2.2163
URL
https://ejournals.bc.edu/ojs/index.php/ital/article/view/2163
Keywords
bibliography information resources library science

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