Abstract: A dynamic presentation of contextually relevant content during an authoring experience. As a user writes about a topic, the authored content is analyzed to identify one or more keywords that may be used to identify, retrieve and present suggested content to the user. The suggested content may be received from one or more resources, such as a search engine, a data store associated with the user, social media resources or other local or remote files. Techniques described herein might also select the keywords from authored content based on a cursor position. As a result, the suggested content may change as the cursor moves to a new position in the authored content. In addition, techniques described herein provide a user interface control that allows for the selection and de-selection of one or more keywords, which allows a user to tailor the suggested content by toggling one or more controls.

Abstract: A content collection system receives a natural language input and identifies a type of content to be collected based on the natural language input. Items of content from multiple different digital media types are collected from a plurality of different sources and organized in an order.

Abstract: Systems and methods are provided for converting gestures undergone by a device into digital graffiti that is superimposed on a digital canvas.

Abstract: Defining subscriptions to location information for a computing device (e.g., a mobile computing device). Application programs, services, and/or peer devices define the subscriptions based on constraints associated with requests for the location information. A location request scheduler coordinates the subscriptions temporally and spatially to reduce the quantity of the requests from the computing device. In some embodiments, the subscriptions are automatically defined based on an observed mobility pattern of the computing device.

Abstract: Determining geospatial patterns from device data collected from a plurality of computing devices. The devices represent, for example, a plurality of sources providing the device data. The device data describes the computing devices and/or environments thereof. Some embodiments present the determined patterns to users for editing, update maps with the edited patterns, and distribute the maps to the users. The maps are stored to create a searchable map library.

Abstract: An automated researching component is invited to contribute content to a collection of research material. The automated research component can be set to continue to add content at a given pace, or for a given duration of time. The automatically added content is added to the collection, along with manually added content.

Abstract: A dynamic presentation of contextually relevant content during an authoring experience. As a user writes about a topic, the authored content is analyzed to identify one or more keywords that may be used to identify, retrieve and present suggested content to the user. The suggested content may be received from one or more resources, such as a search engine, a data store associated with the user, social media resources or other local or remote files. Techniques described herein might also select the keywords from authored content based on a cursor position. As a result, the suggested content may change as the cursor moves to a new position in the authored content. In addition, techniques described herein provide a user interface control that allows for the selection and de-selection of one or more keywords, which allows a user to tailor the suggested content by toggling one or more controls.

Abstract: Technologies are described herein for generating structured sample authoring content based on a user input. Generally described, sample content, such as a synopsis of a subject, may be generated from a contextual interpretation of one or more keywords provided by a user. Using the one or more keywords, a system retrieves content data from one or more resources. The content data is parsed and used to generate a structure of the content data. The structure is then used to generate sample content that may be presented to the user. The presented information may provide a way to jumpstart an authoring project on particular topics of interest.

Abstract: Concepts and technologies are described herein for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.

Abstract: Concepts and technologies are described herein for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.

Abstract: Concepts and technologies are described herein for creating variations when transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships among data elements or other portions of the data, and to identify any possible approaches to transforming the data (“worlds”) based upon the relationships and the data. The worlds can be ranked and selected based upon rank. The computing device can obtain rules associated with the selected and apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback regarding the world selection.

Abstract: Concepts and technologies are described herein for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.

Abstract: Concepts and technologies are described herein for creating variations when transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships among data elements or other portions of the data, and to identify any possible approaches to transforming the data (“worlds”) based upon the relationships and the data. The worlds can be ranked and selected based upon rank. The computing device can obtain rules associated with the selected and apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback regarding the world selection.

Abstract: Concepts and technologies are described herein for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to analyze the data to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.

Abstract: An automated researching component is invited to contribute content to a collection of research material. The automated research component can be set to continue to add content at a given pace, or for a given duration of time. The automatically added content is added to the collection, along with manually added content.

Abstract: Reading material is presented according to a given format. A user can interact with a user input mechanisms to change the format and text the reading material is automatically reflowed to the changed format.

Abstract: A content collection system receives a natural language input and identifies a type of content to be collected based on the natural language input. Items of content from multiple different digital media types are collected from a plurality of different sources and organized in an order.

Abstract: Defining subscriptions to location information for a computing device (e.g., a mobile computing device). Application programs, services, and/or peer devices define the subscriptions based on constraints associated with requests for the location information. A location request scheduler coordinates the subscriptions temporally and spatially to reduce the quantity of the requests from the computing device. In some embodiments, the subscriptions are automatically defined based on an observed mobility pattern of the computing device.

Abstract: Determining geospatial patterns from device data collected from a plurality of computing devices. The devices represent, for example, a plurality of sources providing the device data. The device data describes the computing devices and/or environments thereof. Some embodiments present the determined patterns to users for editing, update maps with the edited patterns, and distribute the maps to the users. The maps are stored to create a searchable map library.

Abstract: Concepts and technologies are described herein for an abstract relational model for transforming data into consumable content. In accordance with the concepts and technologies disclosed herein, a computing device can execute a transformation engine for transforming data into the consumable content. The computing device can be configured to generate an abstract relational model from data to analyze the data and to identify relationships within data elements or other portions of the data. The computing device also can determine a visualization model to apply to the data and to choose a world based upon the determined visualization model. The computing device can obtain rules associated with the selected or chosen world, and can apply the rules to the data to generate the output. In some embodiments, the computing device can be configured to obtain and apply feedback to the output.