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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. | ||
In many FCTs food items are identified with a single label. Our approach supports searching across multiple aliases for a single resource. This broadens search options so that lookups are not constrained to a single search term. These aliases serve several disambiguation functions. They allow the use of common names as well as scientific names and they allow multilingual indexing. They also allow us to store historic names, whether scientific or common, that are no longer used, but may be found in the literature or in historical sources | In many FCTs food items are identified with a single label. Our approach supports searching across multiple aliases for a single resource. This broadens search options so that lookups are not constrained to a single search term. These aliases serve several disambiguation functions. They allow the use of common names as well as scientific names and they allow multilingual indexing. They also allow us to store historic names, whether scientific or common, that are no longer used, but may be found in the literature or in historical sources. | ||
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". |