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Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry

by on Feb 27, 2009

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The original abstract for the talk is below BUT the talk changed based on a big interest in InChI and the possibilities to use in a Semantic Web for Chemistry ...

The original abstract for the talk is below BUT the talk changed based on a big interest in InChI and the possibilities to use in a Semantic Web for Chemistry

The increasing availability of free and open access resources for scientists on the internet presents us with a revolution in data availability. However, freedom costs and in many cases the cost is quality. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 150 separate data sources, ChemSpider has taken on the task of both robotically and manually curating publicly available data sources. This presentation will provide an overview of how a curated platform can become the centralized hub for resourcing information about chemical entities. We will also present ChemMantis, an entity extraction platform for extracting chemical names and scientific terms in documents and providing a platform for structure-based searching of Open Access chemistry literature.

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Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry Presentation Transcript