OSCAR4: a flexible architecture for chemical text-mining

David M Jessop; Sam E Adams; Egon L Willighagen; Lezan Hawizy; Peter Murray-rust

doi:10.1186/1758-2946-3-41

OSCAR4: a flexible architecture for chemical text-mining

David M Jessop
, Sam E Adams
, Egon L Willighagen
, Lezan Hawizy
, Peter Murray-rust^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Journal	Journal of Cheminformatics
Volume	3
Issue number	1
DOIs	https://doi.org/10.1186/1758-2946-3-41
Publication status	Published - 1 Dec 2011
Externally published	Yes

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https://jcheminf.biomedcentral.com/articles/10.1186/1758-2946-3-41

Cite this

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OSCAR4: a flexible architecture for chemical text-mining

Abstract

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