| Title: | OSCAR4: a flexible architecture for chemical text-mining |
| Authors: | Jessop, David M Adams, Sam E Willighagen, Egon L Hawizy, Lezan Murray-Rust, Peter |
| Issue Date: | 14-Oct-2011 |
| Abstract: | Abstract The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002. Recent work has resulted in the separation of the core OSCAR functionality and its release as the OSCAR4 library. This library features a modular API (based on reduction of surface coupling) that permits client programmers to easily incorporate it into external applications. OSCAR4 offers a domain-independent architecture upon which chemistry specific text-mining tools can be built, and its development and usage are discussed. |
| Description: | RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are. |
| URI: | http://www.dspace.cam.ac.uk/handle/1810/239919 |
| Other Identifiers: | http://dx.doi.org/10.1186/1758-2946-3-41 |
| Appears in Collections: | Scholarly Works - Unilever Centre for Molecular Informatics |
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