Abstract: Content providers define a set of scenarios that are addressed by their datasets. The scenarios include user-friendly, human-readable attributes such as a title, description, and visualization. The scenarios may also include a technical description that can be used to generate sample queries that can then be executed against the dataset. The technical description may be machine translated to arbitrary data querying protocols while maintaining the semantic meaning of the query. A user interface may be provided to allow users to intuitively generate the scenarios. In one embodiment, an extensible framework provides for the creation of protocol-specific translation plug-ins that are used to generate implementations of the scenario suitable for selected protocols. Known market-relevant translator plug-ins may also be implemented.

Abstract: Content providers define a set of scenarios that are addressed by their datasets. The scenarios include user-friendly, human-readable attributes such as a title, description, and visualization. The scenarios may also include a technical description that can be used to generate sample queries that can then be executed against the dataset. The technical description may be machine translated to arbitrary data querying protocols while maintaining the semantic meaning of the query. A user interface may be provided to allow users to intuitively generate the scenarios. In one embodiment, an extensible framework provides for the creation of protocol-specific translation plug-ins that are used to generate implementations of the scenario suitable for selected protocols. Known market-relevant translator plug-ins may also be implemented.

Abstract: Individual datasets are accessed using an application programming interface (API). Multiple APIs may be combined into a composite API that allows a user to access multiple datasets using a single query. The composite API may be designed to provide a simpler way to consume information from multiple datasets in response to a particular scenario or problem. The composite API may comprise multiple levels of intermediate APIs that call on each other to access desired datasets. A user may select the datasets that the composite API accesses and/or the composite API may require certain specific datasets. The composite API may be offered for sale or use by other users via a website, such as a data market.

Abstract: Content providers define a set of scenarios that are addressed by their datasets. The scenarios include user-friendly, human-readable attributes such as a title, description, and visualization. The scenarios may also include a technical description that can be used to generate sample queries that can then be executed against the dataset. The technical description may be machine translated to arbitrary data querying protocols while maintaining the semantic meaning of the query. A user interface may be provided to allow users to intuitively generate the scenarios. In one embodiment, an extensible framework provides for the creation of protocol-specific translation plug-ins that are used to generate implementations of the scenario suitable for selected protocols. Known market-relevant translator plug-ins may also be implemented.

Abstract: Individual datasets are accessed using an application programming interface (API). Multiple APIs may be combined into a composite API that allows a user to access multiple datasets using a single query. The composite API may be designed to provide a simpler way to consume information from multiple datasets in response to a particular scenario or problem. The composite API may comprise multiple levels of intermediate APIs that call on each other to access desired datasets. A user may select the datasets that the composite API accesses and/or the composite API may require certain specific datasets. The composite API may be offered for sale or use by other users via a website, such as a data market.

Abstract: A data fulfillment system is described herein that identifies data needs of data marketplace consumers and actively seeks out and attempts to fulfill those needs by adding new data and data providers to the marketplace. After a user enters a search, the system captures the search term(s). If no matching data is found, the data fulfillment system presents to the consumer a screen to suggest a new data offering and to provide a description of data for which the consumer was looking. The system then mines these consumer wants to seek partnerships programmatically by seeing who has this data or operates in this space. Thus, the data fulfillment system provides implicit and explicit ways for consumers to provide information describing data offerings that they want and for potential providers to learn about opportunities to fill current data gaps.