Microsoft Technology Licensing, LLC

Huawei Technologies Co., Limited

Nokia Corporation

Chinese Academy of Sciences

Huawei Technologies,co., Ltd.

Dongmei Zhang

Shi Han

Jian Wang

Yingnong Dang

Jing Lan Chen

Haidong Zhang

Yu Zou

Xiaohui Hou

Zhitao Hou

Rui Ding

Ming Chang

Song Ge

Xiao Bi Liang

Bo Lin

Xu Yang

Yang Cui

Zhouyu Fu

Haoyu Dong

Lei Huang

He Huang

Lijia Zhang

Jian-Lai Zhou

Xiaoyu Bi

Mingqing Xu

Jian-Guang Lou

Song Huang

Yingjun Qiu

Tao N Zhang

Min Wang

Zhouchen Lin

Aiqin Zhang

Mehul Y Shah

Xinjian Chen

Peng Liu

Yue Li

Zhuo Chen

Ming Liu

Jian Ma

Lei Ma

Jing Chen

Ke Wang

Sergio Paolantonio

Xiang Cao

Xianfang Wang

Hao Wei

Bryan Dove

Jennifer Michelstein Halberstam

Frank Soong

Vladimir Rovinsky

Yan Gao

Mina Mikhail

Wei Cong

Gong Cheng

Yi-Jian Wu

Xia Wu

Xu Zhang

Fei Liu

Qiang Wang

Jue Wang

Yi Guo

Xiaoying Xu

Hang Li

Hongzhuo Zhang

Junren Chang

Qiang Fu

Jing Liu

Jian Jun Wang

Khiem Le

Bin Zhao

Lei Li

Yu Shi

Bin Zhu

Kai Chen

Johan Christer Johansson

Qian Wu

Zhangwei Xu

Xiao Yang

Jussi Pekka Ruutu

Haitao Wu

Qingwei Lin

Tao Xie

Jiang Wu

Hui Ma

Lei Jin

Xiaohan Liu

Cong Chen

Wenli Zhu

Bo Zhang

Maria Del Mar Gines Marin

Daniel M Cheung

Li Yang

Ghassan Naim

Jim Sun

Prashant Ratanchandani

Yu Mao

Liqun Li

Xiaofeng Gao

Hongyun Yang

Hongyu Zhang

Qianchuan Zhao

A method provides an automatic notification manner of data changes. After collecting information related to a target user such as a dataset, a data dashboard, or a data report, the analysis preference of the user can be determined based on the collected information. Then, upon the dataset is updated, a variety of critical data changes in the dataset may be detected as an alert, and a notification related to the alert may be provided to the user via various manners. The method does not require the user to manually configure or create an alert rule for data changes, which makes data-driven alerting much easier for the user, thereby improving the user experience.

Automatic notification of data changes

According to implementations of the subject matter described herein, a solution for semantic parsing of the natural language query is provided. In this solution, a first natural language query for a first data table is received, where the first natural language query comprises words. A first set of knowledge representations associated with the first data table are obtained and the first set of knowledge representations describe, in a structured manner, knowledge required for understanding a natural language query for the first data table. The first natural language query is converted into a first sequence of symbols. A first computer-executable query corresponding to the first natural language query is generated. According to this solution, various kinds of knowledge representations from different fields can be represented into universal structured knowledge representations, such that the knowledge representations are used to assist in understanding semantics of natural language queries and generating corresponding computer-executable queries.

Semantic parsing of natural language query

Implementations of the present disclosure provide a solution for spreadsheet table transformation. In this solution, one or more header areas and a data area of a spreadsheet table are detected. A hierarchical structure of each of the header areas is determined by analysis of cell merging and/or indents in the header area, and/or a function relationship between data items in corresponding cells of the data area. The spreadsheet table can be transformed to a relational table based on recognition of the hierarchical structure of the header area. In this way, by facilitating understanding of header structures based on the header hierarchy, it is possible to achieve automated transformation from spreadsheet tables to relational tables.

Spreadsheet table transformation

According to implementations of the present disclosure, there is provided a solution for auto-formatting of a data table. A computer-implemented method comprises obtaining values of at least one attribute for a plurality of cells in a data table, the values of the at least one attribute indicating at least one of a semantic meaning of data filled in the cells or a structure of the data table, the cells being arranged in rows and columns in the data table; extracting a feature representation of the values of the at least one attribute In using a first learning network; and determining respective formats for the cells based on the feature representation using at least the first learning network. In this way, it is possible to implement automatic mapping from attribute settings of cells to cell formats by using a learning network, thereby achieving auto-formatting of the data table.

Auto-formatting of a data table

Various implementations of the present disclosure relate to text to visualization. In a method, information items are extracted from a natural language sentence. Visual elements associated with the information items are determined. A visual representation of the natural language sentence based on the visual elements is determined, the visual representation indicating information expressed by the natural language sentence.

Text to visualization

According to implementations of the subject matter described herein, there is provided a solution of providing a health index of a service. In this solution, a plurality of incident information sets associated with a plurality of services are obtained. The plurality of services are provisioned in a computing environment. An incident information set indicates at least one incident reported during operation of a service. Respective health indices are determined for the plurality of services based on respective ones of the plurality of incident information sets and a health classification policy. The respective health indices indicate respective health statuses of the plurality of services and being determined from a same health index range. Through unified use of incident information, the determined health indices can indicate universal and consistent health statuses for different services.

Health index of a service

According to implementations of the subject matter described herein, there is provided a solution for data embedding and data extraction in images. To perform data embedding, a target region for data embedding is determined from a source image, such as a chart image. Target data to be embedded is converted into a sequence of logical values represented in a predetermined format. Based on the sequence of logical values, image values of one or more image elements in the target region are changed such that the changed image values in the target region can be used to convey the sequence of logical values corresponding to the target data. The variations in image values are within a predetermined range such that no significant data distortion of perception distortion is caused by the data embedding. In a subsequent process, the embedded data can also be easily extracted from the image for use.

Data embedding and data extraction in image

A method provides an automatic notification manner of data changes. After collecting information related to a target user () such as a dataset, a data dashboard, or a data report, the analysis preference of the user can be determined based on the collected information (). Then, upon the dataset is updated, a variety of critical data changes in the dataset may be detected as an alert (), and a notification related to the alert may be provided to the user via various manners (). The method does not require the user to manually configure or create an alert rule for data changes, which makes data-driven alerting much easier for the user, thereby improving the user experience.

A solution for spreadsheet table transformation is provided. In this solution, one or more header areas and a data area of a spreadsheet table are detected. A hierarchical structure of each of the header areas is determined by analysis of cell merging and/or indents in the header area, and/or a function relationship between data items in corresponding cells of the data area. The spreadsheet table can be transformed to a relational table based on recognition of the hierarchical structure of the header area. In this way, by facilitating understanding of header structures based on the header hierarchy, it is possible to achieve automated transformation from spreadsheet tables to relational tables.

A computing apparatus of an insight interfacing system receives from a user a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure. Insights are received based on the received request then presented on a display device. Also, a chart may be presented based on the received request. The computing apparatus receives a selection of at least a portion of the presented one or more insights or a portion of the chart, then receives contextual insights based on the selected portion and presents the contextual insights on the display device.

Multi-dimensional data insight interaction

Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights form the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.

Automatic insights for multi-dimensional data

Embodiments of the present invention disclose a key exchange method and apparatus. A network device acquires a first key, and sends a message including the first key to a second user equipment, so that the second user equipment uses, when communicating with a first user equipment by using a D2D link, the first key to protect transmitted information.

Key exchange method and apparatus

According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.

Automatic analysis of difference between multi-dimensional datasets

A computing device running a tool for visually exploring datasets receives a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure and in response to receiving a user selection of a data point associated with the dataset, presents a visualization of the calculations associated with the selected data point. The tool allows the user to select one of the calculations, thus causing presentation of a visualization of the selected calculation. A semantic graphical feature is incorporated into the visualization of the selected calculation depending upon a type of the calculation.

User interface tools for visual exploration of multi-dimensional data

Embodiments of the present invention disclose a method, an apparatus, and a system for establishing a security context and relates to the communications field, so as to comprehensively protect UE data. The method includes: acquiring an encryption algorithm of an access node; acquiring a root key and deriving, according to the root key and the encryption algorithm, an encryption key of the access node; sending the encryption key and the encryption algorithm to the access node, so that the access node starts downlink encryption and uplink decryption; sending the encryption algorithm of the access node to the UE so as to negotiate the encryption algorithm with the UE; and instructing the access node to start downlink encryption and uplink decryption and instructing, during algorithm negotiation, the UE to start downlink decryption and uplink encryption.

Method, apparatus, and system for performing an establishment of a security context between user equipment and an access node

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Beijing, China

Dongmei Zhang