Editing Mika/Temp/WikiFCD/Grants
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| NSF | | NSF | ||
| [https://www.nsf.gov/pubs/ | | [https://www.nsf.gov/pubs/2019/nsf19589/nsf19589.htm: Information Integration and Informatics (III)] under CISE | ||
| | | October 29, 2020 - November 12, 2020 for SMALL projects; September 7, 2020 - September 14, 2020 for MEDIUM projects | ||
| "The III program supports innovative research on computational methods for the full data lifecycle, from collection through archiving and knowledge discovery, to maximize the utility of information resources to science and engineering and broadly to society. III projects range from formal theoretical research to those that advance data-intensive applications of scientific, engineering or societal importance. Research areas within III include: | | "The III program supports innovative research on computational methods for the full data lifecycle, from collection through archiving and knowledge discovery, to maximize the utility of information resources to science and engineering and broadly to society. III projects range from formal theoretical research to those that advance data-intensive applications of scientific, engineering or societal importance. Research areas within III include: | ||
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* Visualizations of this data | * Visualizations of this data | ||
Wikibase is a novel infrastructural platform for data management suitable for data from many domains. This is the first application built on Wikibase tailored to the needs of the epidemiological community. The output of this research will be a knowledge graph of structured data in the form of a Wikibase instance populated with data from heterogeneous food composition tables. | |||
Multiple data visualization options are available via the Query Service of our Wikibase instance | Multiple data visualization options are available via the Query Service of our Wikibase instance. Graphs, charts, network diagrams, and maps are some of the visualizations we will be able to offer end-users of this knowledge base. | ||
* Case Study One: Fermented foods | * Case Study One: Fermented foods | ||
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This project will support multilingual data, reducing barriers to data reuse for speakers of many languages beyond English. Users will be able to query using any of the supported human languages, and see results in the language of their choice. Through the reuse of data from Wikidata, a multilingual knowledge base, we will add common names as well as scientific names for foods items and plant and animal species in as many human languages as possible. | This project will support multilingual data, reducing barriers to data reuse for speakers of many languages beyond English. Users will be able to query using any of the supported human languages, and see results in the language of their choice. Through the reuse of data from Wikidata, a multilingual knowledge base, we will add common names as well as scientific names for foods items and plant and animal species in as many human languages as possible. | ||
Our choice to use Wikibase allows us to access the data serialized as RDF. The SPARQL endpoint we have created allows us to ask questions of this data that previously were not possible to ask. For example, we can now ask questions such as "show me all recipes that call for one or more ingredients containing proanthocyanidins". | Our choice to use Wikibase allows us to access the data serialized as RDF. The SPARQL endpoint we have created allows us to ask questions of this data that previously were not possible to ask. For example, we can now ask questions such as "show me all recipes that call for one or more ingredients containing proanthocyanidins". | ||
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The ability to federate SPARQL queries between our Wikibase and Wikidata allows us to combine our data with resources from the media repository of the Wikimedia Foundation, Wikimedia Commons. The ability to quickly locate images, videos and sound files related to the resources in our Wikibase allows us to provide interactive multi-media interactions in applications we build on top of our Wikibase. Wikimedia Commons has images of many of the taxa of which our food items are products. | The ability to federate SPARQL queries between our Wikibase and Wikidata allows us to combine our data with resources from the media repository of the Wikimedia Foundation, Wikimedia Commons. The ability to quickly locate images, videos and sound files related to the resources in our Wikibase allows us to provide interactive multi-media interactions in applications we build on top of our Wikibase. Wikimedia Commons has images of many of the taxa of which our food items are products. | ||
The Wikibase infrastructure supports both human and algorithmic curation. Thus we can programmatically ingest data from external sources and also support crowdsourced recipes from anyone with access to the internet | The Wikibase infrastructure supports both human and algorithmic curation. Thus we can programmatically ingest data from external sources and also support crowdsourced recipes from anyone with access to the internet. | ||
Our decision to build this knowledge base using the infrastructure of the Wikimedia Foundation means that other researchers will be able to access this data for reuse in their own projects in a variety of formats. Results from our SPARQL endpoint are available for download as JSON, TSV, CSV and HTML. Preformatted code snipits for making requests to our SPARQL endpoint are available in PHP, jQuery, JavaScript, Java, Perl, Python, Ruby, R and Matlab. These options allow researchers to more quickly integrate data from our knowledge base into their existing projects using the tools of their choice. | Our decision to build this knowledge base using the infrastructure of the Wikimedia Foundation means that other researchers will be able to access this data for reuse in their own projects in a variety of formats. Results from our SPARQL endpoint are available for download as JSON, TSV, CSV and HTML. Preformatted code snipits for making requests to our SPARQL endpoint are available in PHP, jQuery, JavaScript, Java, Perl, Python, Ruby, R and Matlab. These options allow researchers to more quickly integrate data from our knowledge base into their existing projects using the tools of their choice. |