Apple Inc.

Olivier Bonnet

Romain Goyet

Frederic De Jaeger

Wayne Loofbourrow

Brendan John Langoulant

Julien Yann Robert

Julien Jalon

Simon Bovet

Alexandre Moha

Stephen Frederick Decker

Jean-Pierre Ciudad

Jeremy Matthew Werner

Kenneth Buffalo McNeil

Derrick Huhn

Amol V Pattekar

James Callender

Jean-Gabriel Morard

Richard Frederick Wagner

Van Hong

Nicholas K Puz

Frederick De Jaeger

Yannick L Sierra

Alexandre A Aybes

Xiaonan Ma

Toby Paterson

Sean P Devlin

Pierre Habouzit

Nihar Sharma

Paul A Seligman

Daniel M Zitter

William E Anderson

Frédéric De Jaeger

Wayne R Loofbourrow

Data items such as files or database records associated with particular applications (such as messaging applications and other applications) can be stored in one or more remote locations, such as a cloud storage system, and synchronized with other devices. The remote storage can be configured such that each application executing on a client device can only view data items stored at the remote location to which the application has permission to access. An access manager on each client device enforces application specific access policies. Storage at the remote location can be secured for each application associated with a user or user account, for example, using isolated containers. The cloud storage of data can be anonymized and anonymous group data can be stored in the cloud storage.

Cloud messaging system

Some embodiments provide a method for an electronic device. The method receives, through a communication address, an invitation to access a shared data asset via a cloud services platform. When the communication address is not associated with any account on the cloud services platform, the method identifies whether the device is associated with a cloud services account. When the device is associated with a cloud services account, the method prompts for input of a password for the cloud services account in order for the communication address to be associated with the cloud services account and for access to be enabled to the shared data asset.

Association of address with cloud services account

Systems and methods are disclosed for synchronizing one or more user data sets on one or more client devices of a user, using a synchronization system. Each client device can have two independent and asynchronously-operating synchronization engines. The synchronization system can include a synchronization system manager that can resolve conflicts in data that arise from different versions of software being used generate a data set. Each client can maintain two separate databases: a first database that can contain a snapshot of the state of the user data sets across client devices, as known to the synchronization system. The second database can contain a snapshot of the local file system and information about the state of synchronization of the local file system with the synchronization system.

Synchronization system for multiple client devices

Some embodiments provide a method for storing multiple data assets in a folder structure on a cloud services platform. The method stores a separate encrypted structure for each of the data assets on the cloud services platform. A same first key provides access to each of the encrypted structures. The method stores, on the cloud services platform, a folder structure with an encrypted copy of the first key. The method stores a parent structure of the folder on the cloud services platform. The parent structure includes an encrypted copy of a second key that provides access to the encrypted copy of the first key.

Hierarchical encryption of data

Techniques are disclosed for delivering push subscription notifications in large scale distributed systems. Subscription notifications can be delivered to mobile devices of subscribing users by monitoring, at a server, an application database comprising a data record having one or more data values, detecting, at the server, in accordance with the monitoring, a changed data value, querying a subscription database for a subscription having at least one constant value to be compared to the changed data value in accordance with a trigger condition specified in a trigger template, determining whether the trigger condition is true using the changed data value and the constant value as the values of the first and second variables, respectively, in the at least one comparison; and pushing a notification from the server in response to the trigger condition being true.

Push subscriptions

Embodiments of tokenized search suggestions include generating, by at least one suggestion engine executing on a data processing system, first suggestions based on first text input in a text input field. The first suggestions are displayed on a display device and a selection of one of the first suggestions is received. The first text input is replaced with a first token corresponding to the selected one of the first suggestions. The at least one suggestion engine generates second suggestions based on second text input in the text input field and filters the second suggestions using the selected one of the first suggestions. The filtered selections are displayed on a display device.

Tokenized search suggestions

Disclosed herein is a technique for providing status feedback on the execution of a database request. The technique involves receiving a database request that defines an operation to be performed on at least one data record stored in a database. The data record is updated in the database in accordance with the operation, and one or more tasks that are to be performed in connection to the operation are scheduled for execution. A first version of a receipt is generated and provided to the application, and includes, for each of the one or more tasks, a status field that indicates a progress of executing the task. The method further includes the steps of, in response to a change in the execution of any of the one or more tasks, updating the status fields to produce a second version of the receipt, which is then provided to the application.

Method for issuing multipart receipts in connection to extensive database operations

A method for detecting data in a sequence of characters or text using both a statistical engine and a pattern engine. The statistical engine is trained to recognize certain types of data and the pattern engine is programmed to recognize the grammatical pattern of certain types of data. The statistical engine may scan the sequence of characters to output first data, and the pattern engine may break down the first data into subsets of data. Alternatively, the statistical engine may output items that have a predetermined probability or greater of being a certain type of data and the pattern engine may then detect the data from the output items and/or remove incorrect information from the output items.

Detection of data in a sequence of characters

A method of processing a sequence of characters, the method comprising converting the sequence of characters into a sequence of tokens so that each token comprises a lexeme and one of a plurality of token types. Each of the plurality of token types relates to at least one of a plurality of predetermined functions, wherein at least one said token type relates to multiple functions of the plurality of predetermined functions.

An apparatus for processing a sequence of tokens to detect predetermined data, wherein each said token has a token type, and the predetermined data has a structure that comprises a predetermined sequence of token types, including at least one optional token type. The apparatus comprises a processor arranged to: provide a tree for detecting the predetermined data, the tree comprising a plurality of states, each said state being linked with at least one other state by a respective condition, the arrangement of linked states forming a plurality of paths; and compare the token types of the sequence of tokens to respective conditions in the tree to match the sequence of tokens to one or more paths in the tree, wherein the predetermined data can be detected without using an epsilon reduction to take account of said at least one optional token type.

Data detection

Data detection of a character sequence having multiple possible data types

Data detection in a sequence of tokens using decision tree reductions

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Paris, France

Olivier Bonnet