Camtology: Intelligent Information Access for Science

T. Briscoe, K. Harrison, A. Naish-Guzman, A. Parker, Advaith Siddharthan, D. Sinclair, M. Slater, R. Watson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe a novel semantic search engine for scientific literature. The Camtology system allows for sentence-level searches of PDF files and combines text and image searches, thus facilitating the retrieval of information present in tables and figures. It allows the user to generate complex queries for search terms that are related through particular grammatical/semantic relations in an intuitive manner. The system uses Grid processing to parallelise the analysis of large numbers of papers.
Original languageEnglish
Title of host publicationProceedings of the NAACL HLT 2010: Demonstration Session
Place of PublicationLos Angeles, CA
PublisherACL
Publication statusPublished - 2 Jun 2010
EventHuman Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics - Los Angeles, California, United States
Duration: 1 Jun 20106 Jun 2010

Conference

ConferenceHuman Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics
CountryUnited States
CityLos Angeles, California
Period1/06/106/06/10

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  • Cite this

    Briscoe, T., Harrison, K., Naish-Guzman, A., Parker, A., Siddharthan, A., Sinclair, D., Slater, M., & Watson, R. (2010). Camtology: Intelligent Information Access for Science. In Proceedings of the NAACL HLT 2010: Demonstration Session ACL. http://www.aclweb.org/anthology/N/N10/N10-2001.pdf