Data Commons
datacommons.org
datacommons.org is an open knowledge repository hosted by Google that provides a unified view across multiple public datasets, combining economic, scientific and other open datasets into an integrated data graph.
The datacommons.org site was launched in May 2018 with an initial dataset consisting of fact-checking data published in Schema.org "ClaimReview" format by several fact checkers from the International Fact-Checking Network ("Fact Checks". datacommons.org. 29 March 2019. Retrieved 14 October 2020.). The service expanded during 2019 to include an RDF-style Knowledge Graph populated from a number of largely statistical open datasets. The service was announced to a wider audience in 2019Cite error: A <ref> tag is missing the closing </ref> (see the help page)..
Features
The emphasis of datacommons.org is more focused on statistical data than is common for Linked Data and Knowledge Graph initiatives. It centers on the entity-oriented integration of statistical observations from a variety of public datasets. As such, although it supports a subset of the W3C SPARQL query language (https://docs.datacommons.org/api/python/query.html), its APIs (https://docs.datacommons.org/api/) also include tools - such as a Pandas dataframe interface - oriented towards data science, statistics and data visualization.
The most important feature of datacommons.org is that it is integrative. Rather than providing a hosting platform for diverse datasets, it also attempts to consolidate much of the information the datasets provide into a single data graph.
Technology
The dataCommons.org approach is built on a graph data-model. The graph can be accessed through several APIs, and is expanded through loading data (typically CSV and MCF-based templates). Meta_Content_Framework
[1]. The data vocabulary used to define the datacommons.org graph is based upon Schema.org. In particular the schema.org terms http://schema.org/StatisticalPopulation and https://schema.org/Observation were proposed to Schema.org to support datacommons-like usecases. [2]
External links
- ^ datacommons.org. Data Commons https://docs.datacommons.org/contributing/adding_datasets.html.
{{cite web}}: Missing or empty|title=(help); Text "accessdate 14 October 2020" ignored (help) - ^ "Proposal for representing Aggregate Statistical Data". Github - Schema.org repository. 25 June 2019. Retrieved 14 October 2020.