Preiss, J. and Stevenson, R.M. orcid.org/0000-0002-9483-6006 (2018) HiDE: A Tool for Unrestricted Literature Based Discovery. In: Demo Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018). The 27th International Conference on Computational Linguistics (COLING 2018), 20-26 Aug 2018, Santa Fe, New Mexico, USA. International Committee on Computational Linguistics , pp. 34-37. ISBN 9781948087537
Abstract
As the quantity of publications increases daily, researchers are forced to narrow their attention to their own specialism and are therefore less likely to make new connections with other areas. Literature based discovery (LBD) supports the identification of such connections. A number of LBD tools are available, however, they often suffer from limitations such as constraining possible searches or not producing results in real-time. We introduce HiDE (Hidden Discovery Explorer), an online knowledge browsing tool which allows fast access to hidden knowledge generated from all abstracts in Medline. HiDE is fast enough to allow users to explore the full range of hidden connections generated by an LBD system. The tool employs a novel combination of two approaches to LBD: a graph-based approach which allows hidden knowledge to be generated on a large scale and an inference algorithm to identify the most promising (most likely to be non trivial) information.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http:// creativecommons.org/licenses/by/4.0/. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/J008427/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jul 2018 15:24 |
Last Modified: | 01 Jul 2020 11:01 |
Published Version: | https://coling2018.org/wp-content/uploads/2018/08/... |
Status: | Published |
Publisher: | International Committee on Computational Linguistics |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132768 |