GHO: Publishing and Interlinking the Global Health Observatory Dataset

  • screenshot

The improvement of public health is one of the main indicators for societal progress. Statistical data for monitoring public health is highly relevant for a number of sectors, such as research (e.g. in the life sciences or economy), policy making, health care, pharmaceutical industry, insurances etc. Such data is meanwhile available even on a global scale, e.g. in the Global Health Observatory (GHO) of the United Nations’s World Health Organization (WHO). GHO comprises more than 50 different datasets, it covers all 198 WHO member countries and is updated as more recent or revised data becomes available or when there are changes to the methodology being used. However, this data is only accessible via complex spreadsheets and, therefore, queries over the 50 different datasets as well as combinations with other datasets are very tedious and require a significant amount of manual work. By making the data available as RDF, we lower the barrier for data re-use and integration.

Homepage Download

The converted GHO data is now available at http://gho.aksw.org/. After converting the entire GHO data, an RDF dataset containing almost 8 million triples was obtained. Following is the example of a single statistical item, the death value of 1098, from the GHO dataset represented using the Data Cube vocabulary:

gho:o1     a           qb:Observation;
       gho:Country     Afghanistan;
       gho:stat_pop    24076;
       gho:Disease     All Causes;
       gho:incidence   18437.

gho:Country    a    qb:DimensionProperty;
                    rdfs:label    "Country".

gho:Disease    a    qb:DimensionProperty;
                    rdfs:label    "Disease".

Further Information

  • This is a short presentation describing the process of conversion of the CSV files to RDF using SCOVO (Statistical Core Vocabulary) in OntoWiki. SCOVO is an earlier version of the Data Cube Vocabulary and the conversion process is similar for both.
  • This is a position paper that was accepted for a presentation at the Ontologies in Biomedicine and Life Sciences workshop held at Mannheim (Germany) from September 9 – 10, 2010.
  • The dataset description has been published here.
  • This dataset is also part of the LODD datasets.

Project Team

Former Members

Publications

by (Editors: ) [BibTex of ]

News

DBpedia Knowledge Engineering PhD Symposium ( 2022-05-02T16:59:37+02:00 by Julia Holze)

2022-05-02T16:59:37+02:00 by Julia Holze

Dear all,  We are excited to invite you to the 1st DBpedia Knowledge Engineering PhD Symposium, organized on July 6th, 2022 in Leipzig, Germany. Read more about "DBpedia Knowledge Engineering PhD Symposium"

Tutorial @ Knowledge Graph Conference 2022 ( 2022-04-25T12:24:06+02:00 by Julia Holze)

2022-04-25T12:24:06+02:00 by Julia Holze

On May 2, 2022 we will organize a tutorial 2.0 at the Knowledge Graph Conference (KGC) 2022. Read more about "Tutorial @ Knowledge Graph Conference 2022"

International Workshop on Data-driven Resilience Research 2022 ( 2022-04-21T14:43:27+02:00 by Julia Holze)

2022-04-21T14:43:27+02:00 by Julia Holze

In the face of continuously changing contextual conditions and ubiquitous disruptive crisis events, the concept of resilience refers to some of the most urgent, challenging, and interesting issues of nowadays society. Read more about "International Workshop on Data-driven Resilience Research 2022"

DBpedia @ Google Summer of Code Program 2022 ( 2022-03-23T14:26:48+01:00 by Julia Holze)

2022-03-23T14:26:48+01:00 by Julia Holze

DBpedia, one of InfAI’s community projects, will be part of the 11th Google Summer of Code (GSoC) program. The GSoC program has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code Program 2022"

DBpedia Tutorial @ The Web Conference 2022 ( 2022-03-16T13:52:16+01:00 by Julia Holze)

2022-03-16T13:52:16+01:00 by Julia Holze

Dear all, We are proud to announce that we will organize an online tutorial at the Web Conference on 25th of April 2022. A particular focus will be put on the DBpedia Infrastructure, i.e. Read more about "DBpedia Tutorial @ The Web Conference 2022"