Microsoft Technology Licensing, LLC

Huawei Technologies Co., Limited

Nokia Corporation

Chinese Academy of Sciences

Jinan University

Shanghai Haihe Pharmaceutical Co., Ltd.

Nokia Technologies Oy

Dongmei Zhang

Shi Han

Jian Wang

Yingnong Dang

Jing Lan Chen

Yu Zou

Xiao Bi Liang

Bo Lin

Xu Yang

He Huang

Lei Huang

Lijia Zhang

Tao N Zhang

Min Wang

Zhouchen Lin

Peng Liu

Yue Li

Zhuo Chen

Ming Liu

Jian Ma

Jing Chen

Lei Ma

Ke Wang

Yun Yu Wang

Xu Zhang

Qiang Wang

Fei Liu

Jue Wang

Yi Guo

Xiaoying Xu

Ying Huang

Hang Li

Hongzhuo Zhang

Junren Chang

Jian Ding

Jing Liu

Qiang Fu

Hao Bi

Jian Jun Wang

Tao Zhang

Haidong Zhang

Xiaohui Hou

Zhitao Hou

Rui Ding

Ming Chang

Song Ge

Yang Cui

Zhouyu Fu

Jian-Lai Zhou

Xiaoyu Bi

Mingqing Xu

Jian-Guang Lou

Song Huang

Aiqin Zhang

Mehul Y Shah

Sergio Paolantonio

Xiang Cao

Xianfang Wang

Bryan Dove

Hao Wei

Jennifer Michelstein Halberstam

Frank Soong

Yan Gao

Vladimir Rovinsky

Khiem Le

Bin Zhao

Yu Shi

Lei Li

Qian Wu

Bin Zhu

Meiyu Geng

Kai Chen

Johan Christer Johansson

Zhangwei Xu

Xiao Yang

Haitao Wu

Jussi Pekka Ruutu

Qingwei Lin

Hui Ma

Jiang Wu

Tao Xie

Lei Jin

Ke Ding

Xiaohan Liu

Jing Ai

Cong Chen

Wenli Zhu

Maria Del Mar Gines Marin

Zhengchao Tu

Bo Zhang

Daniel M Cheung

Li Yang

Chin-Yew Lin

Ghassan Naim

Jim Sun

Prashant Ratanchandani

Jinpeng Wang

According to implementations of the subject matter described herein, there is provided a solution for automatic recommendation of analysis for a dataset. In this solution, dimension feature information of dimensions of a dataset and operation feature information of candidate analysis operations are extracted. Respective metrics of candidate combinations of the dimensions and candidate analysis operations being suitable for defining an analysis pattern for the dataset are determined based on the dimension and operation feature information. The analysis pattern comprises at least one dimension to be analyzed and at least one analysis operation to be performed on the at least one dimension. A recommendation on an analysis pattern for the dataset is provided based on the determined respective metrics, to indicate a candidate combination. In this way, it is possible to assess and provide a suitable analysis pattern for a given dataset, thereby facilitating quick completion of the data analysis task.

Automatic recommendation of analysis for dataset

According to implementations of the subject matter described herein, a clause-based semantic parsing solution is provided. In the solution, a first clause with independent semantics is determined from a target statement. The target statement is converted to a first intermediate statement based on a first logical representation corresponding to the first clause. Subsequently, at least one logical representation corresponding to at least part of semantics of the first intermediate statement is determined. The first logical representation and the at least one logical representation may be used to determine a target logical representation corresponding to semantics of the target statement. Therefore, more accurate semantic parsing can be achieved.

Clause based semantic parsing

In accordance with the implementations of the subject matter described herein, there is provided a solution for reusing infographics. In this solution, a group of visual element units is determined from a visual element set comprised in the original infographic. A visual element unit in the group represents an information item in the original infographic. A first correlation between a visual element contained in the visual element unit and the information item and a second correlation between the visual element unit and a further visual element unit in the group are determined. A description for the original infographic is generated based on the first and second correlations. A target infographic is generated by updating the group of visual element units at least based on the description and the target information. In this way, infographics can be converted into reusable templates, thereby simplifying reuse of such infographics and improving user experience.

Reuse of infographics

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

Growing community of inventors

Beijing, China

Dongmei Zhang