Intelligent Information Access from Scientific Papers

Ted Briscoe; Karl Harrison; Andrew Naish-Guzman; Andy Parker; Marek Rei; Advaith Siddharthan; David Sinclair; Mark  Slater; Rebecca Watson

doi:10.1007/978-3-642-19231-9_16

Intelligent Information Access from Scientific Papers

Ted Briscoe, Karl Harrison, Andrew Naish-Guzman, Andy Parker, Marek Rei, Advaith Siddharthan, David Sinclair, Mark Slater, Rebecca Watson

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We describe a novel search engine for scientific literature. The system allows for sentence-level search starting from portable document format (PDF) files, and integrates text and image search, thus facilitating the retrieval of information present in tables and figures. It allows the user to generate in an intuitive manner complex queries for search terms that are related through particular grammatical (and thus implicitly semantic) relations. The system uses grid processing to parallelise the analysis of large numbers of scientific papers. It is currently undergoing user evaluation, but we report some preliminary evaluation and comparison with Google Scholar, demonstrating its utility. Finally, we discuss future work and the potential and complimentarity of the system for patent search.

Original language	English
Title of host publication	Current Challenges in Patent Information Retrieval
Editors	K Mayer, J Tait
Publisher	Springer
Pages	329-342
Number of pages	14
ISBN (Print)	3642192300 , 978-3642192302
DOIs	https://doi.org/10.1007/978-3-642-19231-9_16
Publication status	Published - 2011

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10.1007/978-3-642-19231-9_16

http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-642-19230-2

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title = "Intelligent Information Access from Scientific Papers",

abstract = "We describe a novel search engine for scientific literature. The system allows for sentence-level search starting from portable document format (PDF) files, and integrates text and image search, thus facilitating the retrieval of information present in tables and figures. It allows the user to generate in an intuitive manner complex queries for search terms that are related through particular grammatical (and thus implicitly semantic) relations. The system uses grid processing to parallelise the analysis of large numbers of scientific papers. It is currently undergoing user evaluation, but we report some preliminary evaluation and comparison with Google Scholar, demonstrating its utility. Finally, we discuss future work and the potential and complimentarity of the system for patent search. ",

author = "Ted Briscoe and Karl Harrison and Andrew Naish-Guzman and Andy Parker and Marek Rei and Advaith Siddharthan and David Sinclair and Mark Slater and Rebecca Watson",

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AU - Briscoe, Ted

AU - Harrison, Karl

AU - Naish-Guzman, Andrew

AU - Parker, Andy

AU - Rei, Marek

AU - Siddharthan, Advaith

AU - Sinclair, David

AU - Slater, Mark

AU - Watson, Rebecca

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AB - We describe a novel search engine for scientific literature. The system allows for sentence-level search starting from portable document format (PDF) files, and integrates text and image search, thus facilitating the retrieval of information present in tables and figures. It allows the user to generate in an intuitive manner complex queries for search terms that are related through particular grammatical (and thus implicitly semantic) relations. The system uses grid processing to parallelise the analysis of large numbers of scientific papers. It is currently undergoing user evaluation, but we report some preliminary evaluation and comparison with Google Scholar, demonstrating its utility. Finally, we discuss future work and the potential and complimentarity of the system for patent search.

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DO - 10.1007/978-3-642-19231-9_16

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SP - 329

EP - 342

BT - Current Challenges in Patent Information Retrieval

A2 - Mayer, K

A2 - Tait, J

PB - Springer

ER -

Intelligent Information Access from Scientific Papers

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