Here at ChemSpider we’ve been working for almost a year and a half to build a structure centric community for chemists. During this time we have been dabbling, in the background, with ChemSpider being not so structure-centric, but this has not been exposed yet. Of late we have been attracted to the possibilities around text-mining and mark-up of articles.

We are well underway in terms of providing tools for markup and they will be released incrementally. We have a lot more ideas and are interested to participate in the Article 2.0 contest to see what we can do. What is Article 2.0? Article 2.0 was announced by Elsevier here with the following statement:

“We’ve worked hard to build the Article 2.0 dataset, and now we’re opening it up to developers via a simple, straightforward REST API. We will provide contestants with access to approximately 7,500 full-text XML scientific articles (including images) and challenge each contestant to be the publisher. In other words, each contestant will have complete freedom for how they would like to present the scientific research articles contained in the Article 2.0 dataset. We will encourage the use of XQuery, but this will not be a mandate. By leveraging these APIs, the contestant becomes the publisher and can render scientific articles to meet their needs including integrating the article into existing applications or combining it with other web service APIs.”

7500 articles and complete freedom to present the articles as we see fit. Enticing! What do we already have on ChemSpider that we could reuse?

1) Structure deposition

2) Analytical data and image deposition

3) Integration to other data via URLs

4) Add comments/description

5) Text markup with “Chemical enhancements”

6) A dataset of >21 million structures and integration to over 120 data sources

7) Good ideas …

Article 2.0 looks interesting…we hope to be involved

Stumble it!

One Response to “Article 2.0 and ChemSpider might be a good match”

  1. Martin Walker says:

    Sounds intriguing! I think you should go for it if you can. This is a great chance to show what the semantic web is all about.

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