Microsoft Technology Licensing, LLC

Pankaj Khanzode

Vipindeep Vangala

Amit Singla

Beethika Tripathi

Daraksha Parveen

Abid Ali

Madan Gopal Jhanwar

Ranganath Kondapally

Jimish Bhayani

Priyam Bakliwal

Karandeep Singh Anand

Vijay Sen

Jatin Kakkar

Vanita Prabhu

Sai Peyyeti

Seshagiri K V

Harsh Mittal

Ravisankar V Pudipeddi

Ye-Yi Wang

Dilip Madhusudan Ranade

Omar Zia Khan

Nitin Agrawal

Shobana Balakrishnan

Manoj K Valiyaparambil

Rashi Anand

Pavan Kumar Dasari

Neha Singh

Charumathy Srinivasan

Sadhvi Shekhar

Ankit Rastogi

Tony Thampan

Sachin Durge

Gangula Rama Rohit Reddy

Rishabh Malhotra

Sriram Balasubramaniam

Ruchi Bansal

Satish Chandra

Venkata Suman Yaram

Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.

Extracting and surfacing contextually relevant topic descriptions

A computing system obtains a document that includes text. The computing system identifies a fact referenced in the text of the document, where the fact includes a fact name and a fact value. The computing system determines a topic of the document based upon the text of the document. The computing system identifies a factoid stored in a data store based upon the topic and the fact name, where the factoid includes the fact name and a second fact value, and further where the factoid has been generated based upon second text of a second document. While the document is being displayed to a user, the computing system causes a message to be displayed to the user, where the message prompts the user to accept or reject replacement of the fact value in the document with the second fact value.

Computing system for detecting and updating stale information

An entity interlinkage platform may receive a corpus of enterprise documents and user profile data that corresponds to an individual user. The entity interlinkage platform utilizes topic extraction models to extract entities from the corpus and further utilizes the user profile data to generate a knowledge graph that includes interlinkages between the extracted entities. The entity interlinkage platform may identify a multitude of topic descriptions and corresponding topic terms from source documents that an access control list permits an individual user to access. Then, based on the user profile data, the entity interlinkage platform may generate a knowledge graph that is tailored for the individual user's specific purposes within the enterprise. For example, the knowledge graph may be generated based on knowledge graph preferences (which may be defined by the individual user) indicating preferred topic description types and/or levels of detail in association with specific topics and/or categories of topics.

Generating user-specific entity interlinkages of extracted enterprise topic descriptions

Technologies described herein offer a contextually aware schedule service technology. User-related activity is monitored to detect a future event related to the user. Information is extracted from the monitored user-related activity information. The extracted information about the future event can be evaluated to determine whether it is related to another future event associated with the user. When a particular future event for the user changes, a set of related events may be utilized to determine a related event is affected by the change. For example, a user may be notified to cancel or modify the future event. Additionally, service providers associated with the affected event(s) may be notified, or a personal assistant service may facilitate automatically rescheduling the affected events.

Contextually aware schedule services

A computer-implemented technique is described herein for creating a relational data structure by extracting user data items from a collection of one or more applications sources. These data items evince interests exhibited by the users, and may include messages, documents, tasks, meetings, etc. The technique also collects knowledge data items from one or more knowledge sources. In one implementation, these data items may include terms used to describe skills possessed by the users. The technique constructs the data structure by providing objects associated with respective data items, and links between respective pairs of objects. In its real-time phase of operation, the technique allows a user to interrogate the relational data structure, e.g., to identify skills possessed by a particular user, to find users associated with a specified skill, etc.

Querying a relational knowledgebase that provides data extracted from plural sources

Aspects of the subject matter described herein relate to a storage architecture. In aspects, an address provided by a data source is translated into a logical storage address of virtual storage. This logical storage address is translated into an identifier that may be used to store data on or retrieve data from a storage system. The address space of the virtual storage is divided into chunks that may be streamed to the storage system.

Storage architecture for backup application

Methods and systems are disclosed for backup using a metadata virtual hard drive (VHD) and a differential VHD. A particular system includes a memory device that stores files and a backup agent configured to detect changes to the files. The system includes a translation module configured to translate the detected changes into VHD formatted changes and a VHD module configured to write the VHD formatted changes to a metadata VHD stored at the memory device. The VHD module is also configured to generate a differential VHD based on the metadata VHD. A network interface at the system is configured to transmit the metadata VHD and the differential VHD to a remote storage device.

Backup using metadata virtual hard drive and differential virtual hard drive

A backup and restore system may present recovered backup data as local resources and in a read and write manner so that the recovered backup data may be accessed using an application that created the data. In some embodiments, the recovered data may be read only data, but a differencing virtual hard disk (VHD), Common Internet File System protocol, or differencing driver may be used to present a read/write version of the data. Additionally, the data may be presented using iSCSI or other technologies to present the data as local data, even though the data may be remotely located. The backup and restore system may additionally use VHD differencing technologies to create multiple backups.

Item level recovery

In accordance with an aspect of the present invention, in a data protection system having a production location, a storage location, and a communication path for transmitting data between the production location and the storage location, a method for creating a makeup archive job is provided. The method includes determining if a task of an archive job was successful and, if it is determined that the task was not successful, including the task in an archive makeup job. Additionally, the method determines if there are any tasks of the archive job that are dependent upon the failed task. If there are dependent tasks, those dependent tasks are also included in the archive makeup job.

Method and system for monitoring and managing archive operations

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Hyderabad Telangana, India

Pankaj Khanzode