Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Techniques for hosting data or connecting to hosted data are disclosed herein. In one embodiment, a first computing device in a first region of control can receive a data set from a second computing device in a second region of control via a communication network. The first computing device can then analyze the received data set to determine structural information, such as one or more structural features associated with the received data set. The determined structural information can then be transmitted to the second computing device. In response to the transmission, the first computing device can receive input from the second computing device regarding a query capability to enforce over the received data set.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Techniques for hosting data or connecting to hosted data are disclosed herein. In one embodiment, a first computing device in a first region of control can receive a data set from a second computing device in a second region of control via a communication network. The first computing device can then analyze the received data set to determine structural information, such as one or more structural features associated with the received data set. The determined structural information can then be transmitted to the second computing device. In response to the transmission, the first computing device can receive input from the second computing device regarding a query capability to enforce over the received data set.

Abstract: Techniques for hosting data or connecting to hosted data are disclosed herein. In one embodiment, a first computing device in a first region of control can receive a data set from a second computing device in a second region of control via a communication network. The first computing device can then analyze the received data set to determine structural information, such as one or more structural features associated with the received data set. The determined structural information can then be transmitted to the second computing device. In response to the transmission, the first computing device can receive input from the second computing device regarding a query capability to enforce over the received data set.

Abstract: Techniques for hosting data or connecting to hosted data are disclosed herein. In one embodiment, a first computing device in a first region of control can receive a data set from a second computing device in a second region of control via a communication network. The first computing device can then analyze the received data set to determine structural information, such as one or more structural features associated with the received data set. The determined structural information can then be transmitted to the second computing device. In response to the transmission, the first computing device can receive input from the second computing device regarding a query capability to enforce over the received data set.

Abstract: Techniques are described herein that are capable of enforcing conditions of use associated with disparate data sets. For example, content may be published. Conditions of use that are associated with the published content may be specified. The published content may include disparate data sets. Each data set may be associated with its own condition(s) of use. The condition(s) of use associated with each data set may be enforced.

Abstract: Data is published by publishers to an information service configured to receive data sets and allow consumers to consume the data sets via queries. Structural information of the data sets (e.g., column information) is presented to the publishers to select which information of the data sets can be a search parameter and which information can be returned in query results. Query interfaces are automatically created based on the selections by the publisher, and the back end databases are optimized for such query interfaces, e.g., creation of indexes based on the search parameters or query results selected by the publisher. A query aggregator can automatically combine a given query interface with other query interfaces to form more complicated (but still permitted) queries based on the intersection of permissions for the given query interface and the other query interfaces.

Abstract: Techniques are described herein that are capable of enforcing conditions of use associated with disparate data sets. For example, content may be published. Conditions of use that are associated with the published content may be specified. The published content may include disparate data sets. Each data set may be associated with its own condition(s) of use. The condition(s) of use associated with each data set may be enforced.

Abstract: A single integrated offering includes a dataset license and a license to an application tailored for using the dataset. The dataset licensor and the application licensor are distinct entities. However, the integrated offering is electronically purveyed under a single offering price, in a public online marketplace and/or on licensor websites. In some cases, purveyance includes obtaining a purchaser's consents to the licenses, disclosing one or both of the licensors' identities, provisioning a purchaser with the dataset and the application, making payments to licensors, tax authorities, and/or other parties in response to a purchaser's payment, and reporting dataset/application usage to the licensors. Purveyor code permits cancelation of a purchase of the integrated offering only as a unified whole.

Abstract: Semantic categorization of data includes submitting obtained data values to a data enhancement service which has a semantic criterion for incoming data. A response from the service indicates whether the submitted data values meet the criterion, and is used to assign a likelihood that the values belong to a semantic category matching the criterion. Other semantic categorization operations do not necessarily use a data enhancement service. Some are based on which device was used to collect the data values, on a subject heading in which data was published, and/or on syntactic patterns. A semantic taxonomy shows semantic categorizations for one or more datasets and connections between datasets, possibly filtered per user request. Different versions of the taxonomy are stored for respective different users. Similarity between the data values can be assessed using semantic categorization. Taxonomies can be federated to allow exploration and understanding across multiple repositories.

Abstract: Various aspects for scaling an availability of information are disclosed. In one aspect, a response performance associated with responding to data consumption requests is monitored. A characterization of the response performance is ascertained, and a scaling of resources is facilitated based on the characterization. In another aspect, a data consumption status indicative of data consumed is ascertained. Here, a scalability interface is provided, which displays aspects of the status, and receives an input from a content provider. An allocation of resources is then modified in response to the input. In yet another aspect, a response performance associated with responding to data consumption requests is monitored. An application programming interface (API) call is generated based on a characterization of the response performance, and transmitted to a content provider. An API response is then received from the content provider indicating whether a scaling of resources for hosting the data was performed.

Abstract: Systems and methods for providing end user license agreements on demand for information as a service is provided. In some embodiments, a computer-implemented system can include: at least one processor; and at least one publication module configured to publish content to a consumer. The computer-implemented system can also include at least one condition generation module configured to generate a representation of one or more conditions associated with use by the consumer for published content from the at least one publication module. The conditions can be canonicalized conditions representing standard terms to be included in the representation. In some embodiments, the representation is a license agreement for the consumer. The computer-implemented system can also a computer-readable storage medium storing computer-executable instructions that, when executed, cause the at least one processor to perform one or more functions of the at least one publication module or the at least one condition generation module.