Although it supports a subset of the W3C SPARQL query language, its APIs also include tools - such as a Pandas dataframe interface - oriented towards data science, statistics and data visualization.ĭ is integrative, meaning that, rather than providing a hosting platform for diverse datasets, it attempts to consolidate much of the information the datasets provide into a single data graph.ĭ is built on a graph data-model. It centers on the entity-oriented integration of statistical observations from a variety of public datasets. It represents data as semantic triples each of which can have its own provenance. It includes geographical, demographic, weather and real estate data alongside other categories, describing states, Congressional districts, and cities in the United States as well as biological specimens, power plants, and elements of the human genome via the Encyclopedia of DNA Elements (ENCODE) project. Features ĭ places more emphasis on statistical data than is common for Linked Data and knowledge graph initiatives. In 2020 the service improved its coverage of non-US datasets, while also increasing its coverage of bioinformatics and coronavirus. The service was announced to a wider audience in 2019. The service expanded during 2019 to include an RDF-style Knowledge Graph populated from a number of largely statistical open datasets. Google has worked with partners including the United States Census, the World Bank, and US Bureau of Labor Statistics to populate the repository, which also hosts data from Wikipedia, the National Oceanic and Atmospheric Administration and the Federal Bureau of Investigation. The site was launched in May 2018 with an initial dataset consisting of fact-checking data published in "ClaimReview" format by several fact checkers from the International Fact-Checking Network. Knowledge repository integrating open datasetsĭ is an open knowledge graph hosted by Google that provides a unified view across multiple public datasets, combining economic, scientific and other open datasets into an integrated data graph.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |