Abstract: Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.

Abstract: Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.

Abstract: Non-limiting examples of the present application are directed to automatic adjustment and sharing of content. In one example, a distributed storage service may access content and automatically execute recognition processing for the content. The distributed storage service may automatically execute a clean-up operation on the content based on a result of execution of the recognition processing. A version of the cleaned-up content may be automatically transmitted to a distributed storage associated with a user account of the distributed storage service. As the distributed storage service is executing automatic operations on behalf of a user, the distributed storage service automatically generates a push notification indicating that the content is cleaned-up and ready to be shared with other user accounts of the distributed storage service. In some examples, the push notification may comprise the cleaned-up content. The push notification may be displayed on a client computing device.

Abstract: The present disclosure describes a system and method to automatically extract image features from an image uploaded to an image processing service executing on a cloud server from an image capture device, determine an image classification based at least in part on the image features, transmit a request to the image capture device for an image action based at least in part on the image classification, and execute the image action on the image based at least in part on receiving the image action from the image capture device in response to the request.

Abstract: Non-limiting examples of the present application are directed to automatic adjustment and sharing of content. In one example, a distributed storage service may access content and automatically execute recognition processing for the content. The distributed storage service may automatically execute a clean-up operation on the content based on a result of execution of the recognition processing. A version of the cleaned-up content may be automatically transmitted to a distributed storage associated with a user account of the distributed storage service. As the distributed storage service is executing automatic operations on behalf of a user, the distributed storage service automatically generates a push notification indicating that the content is cleaned-up and ready to be shared with other user accounts of the distributed storage service. In some examples, the push notification may comprise the cleaned-up content. The push notification may be displayed on a client computing device.

Abstract: Technologies are described herein for analyzing data to determine an upload account. In some configurations, techniques disclosed herein cause the data, and other data, to be analyzed to determine whether the data is to be uploaded to a business account associated with the user or a personal account associated with the user. A request to upload data is received from a computing device. Instead of prompting a user to manually select whether to upload the data to the personal account or the business account, the techniques determine whether the data is personal or business related. When the data is determined to be personal, the data is uploaded to the personal account. When the data is determined to be business related, the data is uploaded to the business account.

Abstract: Application resource usage reduction can be accomplished by reducing an application's attempts at uploading content (and calls to a network interface) when there is a fail state at the device. The application can carry out this reduction by managing an upload queue, including pausing and un-pausing the upload queue based on failure states identified to the system before or after an attempt is made to upload content. For example, outside of the upload process, the application can detect network connection changes such that at any time the application detects a loss of the network connection, the upload queue is set to a paused state where no upload attempt would be performed, even if new content is indicated at the upload queue.

Abstract: The present disclosure describes a system and method to manage image file storage that includes a memory device to store instructions and at least one processing device to execute the instructions stored in the memory device to determine an image capture context for an image, identify an image type corresponding to the image based at least in part on the image capture context, associate the image type with the image, and automatically store a copy of the image on a remote memory device based at least in part on the image type.

Abstract: The present disclosure describes a system and method to automatically extract image features from an image uploaded to an image processing service executing on a cloud server from an image capture device, determine an image classification based at least in part on the image features, transmit a request to the image capture device for an image action based at least in part on the image classification, and execute the image action on the image based at least in part on receiving the image action from the image capture device in response to the request.