International Business Machines Corporation

Teng Sun

Ming Jin Chen

Zhong Fang Yuan

Tong Liu

Kun Yan Yin

Hong Bing Zhang

Zhong Shi Wang

Chao Yu

Tao Liu

Si Tong Zhao

Xueliang Zhao

Zhe Li Yu

Athar Tayyab

Yu Zui Wy You

Liang K S Lu

Frank Feng

In order to perform a semantic search based on a graph database, sets of nodes are selected from a plurality of nodes in a graph database. A set of nodes semantically matches a keyword in a natural language query. At least one target node is identified in the sets of nodes. A path is selected from candidate paths based on similarities between the candidate paths and a plurality of paths in the graph database. A graph query for retrieving information from the graph database is generated based on the selected path and the query target.

Semantic search based on a graph database

A computer-implemented method for annotating images is disclosed. The computer-implemented method includes generating a saliency map corresponding to an input image, wherein the input image is an image that requires annotation, generating a behavior saliency map, wherein the behavior saliency map is a saliency map formed from an average of a plurality of objects contained within respective bounding boxes of a plurality of sample images, generating a historical saliency map, wherein the historical saliency map is a saliency map formed from an average of a plurality of tagged objects in the plurality of sample images, fusing the saliency map corresponding to the input image, the behavior saliency map, and the historical saliency map to form a fused saliency map, and generating, based on the fused saliency map, a bounding box around an object in the input image.

Automatic image annotations

An approach is provided in which an information handling system determines a current focus of a user composing a document. The current focus is based on a set of text in proximity to a current cursor location in the document. Next, the information handling system identifies a query based at least in part upon the current focus and queries a database using the identified query. In turn, the information handling system presents reference recommendations to the user that are generated from the query.

Context aware document advising

The present invention is a system and method for template extraction based on source code similarity. The system receives source code and groups the class files into classes based on naming rules and inheritance hierarchy. Features are parsed for each class and encoded a float value. The classes are clustered based on similarities of the features. A similarity value is calculated for the classes in a cluster and potential candidate classes are selected based on the similarity value or inheritance hierarchy. A feature subset is selected across all candidate classes and differences in the features in the subset are determined. The features are then decoded and the differences are parameterized to generate a template. A variable definition file is created to cross-reference features and variables. Source code can then be generated using the template and the variable definition file.

Method and system for template extraction based on source code similarity

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Beijing, China

Teng Sun