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With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

Liangzhi You

Liangzhi You is a Senior Research Fellow and theme leader in the Foresight and Policy Modeling Unit, based in Washington, DC. His research focuses on climate resilience, spatial data and analytics, agroecosystems, and agricultural science policy. Gridded crop production data of the world (SPAM) and the agricultural technology evaluation model (DREAM) are among his research contributions. 

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Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

Global Hunger Index Joins the Five Star Web

Open Access | CC-BY-4.0

Global Hunger Index Joins the Five Star Web

What is the 5 star web? Well as Tim Berners Lee, inventor of the web, explains in this video– the next big thing on the web is the semantic web and 2011 is the year when it will really take off.

He has assigned a 5 star scheme to assess how well web content is suited for what he calls the semantic web. This is the idea that our content is published on the web in a way that it can be used by websites, apps (through the software which runs them) to present our content together with related information from others. Essentially we need to publish data which is machine readable and becomes part of the growing web of linked data.

To see what is involved in making more IFPRI data available in this form, we have taken the Global Hunger Index (GHI) as an example and published it as linked data RDF files and documented the experience. This is the first stage of the project as we make the data available and then monitor its use and look at ways to promote and integrate it with more datasets.

The GHI 2010 data is made available as linked data (modeled in SCOVO and an RDF Data Cube multi-measure model) at http://data.ifpri.org/rdf/ghi/.

The complete range of IFPRI datasets can be found on IFPRI’s collection on dataverse and through the datasets section on the IFPRI website.

This work was inspired by the iKMemergent project which now has a discussion group discussing linked data at http://dgroups.org/groups/LinkInfo4Dev. They have produced an interesting discussion note following their workshop in London.

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