Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-13654-2_28
Title: Kairos: Proactive harvesting of research paper metadata from scientific conference web sites
Authors: Hänse, M.
Kan, M.-Y. 
Karduck, A.P.
Issue Date: 2010
Source: Hänse, M.,Kan, M.-Y.,Karduck, A.P. (2010). Kairos: Proactive harvesting of research paper metadata from scientific conference web sites. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6102 LNCS : 226-235. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-13654-2_28
Abstract: We investigate the automatic harvesting of research paper metadata from recent scholarly events. Our system, Kairos, combines a focused crawler and an information extraction engine, to convert a list of conference websites into a index filled with fields of metadata that correspond to individual papers. Using event date metadata extracted from the conference website, Kairos proactively harvests metadata about the individual papers soon after they are made public. We use a Maximum Entropy classifier to classify uniform resource locators (URLs) as scientific conference websites and use Conditional Random Fields (CRF) to extract individual paper metadata from such websites. Experiments show an acceptable measure of classification accuracy of over 95% for each of the two components. © 2010 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41322
ISBN: 3642136532
ISSN: 03029743
DOI: 10.1007/978-3-642-13654-2_28
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