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Web Crawler Research Papers 2012 Movie

Intelligent web crawler

Authors: P. DahiwaleNYSS College of Engineering and Research, Nagpur, India
A. MokhadeVisvesvaraya National Institute of Technology, Nagpur, India
M. M. RaghuwanshiNYSS College of Engineering and Research, Nagpur, India
Published in:

· Proceeding
ICWET '10 Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Pages 613-617

Mumbai, Maharashtra, India — February 26 - 27, 2010
ACMNew York, NY, USA ©2010
table of contents ISBN: 978-1-60558-812-4 doi>10.1145/1741906.1742046
2010 Article
· Citation Count: 0
· Downloads (cumulative): 400
· Downloads (12 Months): 38
· Downloads (6 Weeks): 1

algorithmsdesigndomain knowledgeexperimentationimportance-metricsontologyperformancereliabilityweb applicationsweb crawlerweb services

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This paper proposes a novel system that aids in the writing of research papers by gathering and analysing other researchers’ comments for a given reference paper to provide some features, advantages or disadvantages of the referenced research. A lexicon-based reference comments crawler (LRCC) classifies the comments about a reference paper and the surrounding sentences using part-of-speech lexicons and a dynamic text window into four categories (normal, advantage, disadvantage and complex). The extraction of comments and surrounding sentences from research papers is effectively and efficiently carried out using the reference identifier and some simple extraction rules. In this paper, we considered the various types of reference identifiers, because a reference identifier is a key solution for the sentence extraction in the LRCC system. Several experiments were performed using published research papers to evaluate the LRCC’s precision and recall. The results showed that the LRCC can extract and classify comments with a high degree of precision and recall, as well as present them to the user in an effective and efficient manner.

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