International Business Machines Corporation

Dingcheng Li

Yu Gu

Su Liu

Kai Liu

Jing Min Xu

Hui Lei

Yaoping Ruan

Xiao Xi Liu

Pei Ni Liu

Daniel Dean

Checed A Rodgers

A method, computer program product, and a system where a processor(s) determines generates a cognitive user profile representing patterns of usage of each of a plurality of users of the transportation resource sharing system, a cognitive resource profile for each resource of the plurality of resources, a cognitive route profile for each route traversed by at least one resource of the plurality of resources, and a cognitive station profile for each station of the plurality of stations. The processor(s) assigns one or more specific resources of the plurality of resources to one or more specific users of the plurality of users and the one or more specific resources of the plurality of resources to one or more specific stations of the plurality of stations.

Automated and efficient personal transportation vehicle sharing

Embodiments generally relate transforming data for a target schema. In some embodiments, a method includes receiving input data, where the input data includes a plurality of segments, and where the segments include a plurality of source fields containing target data. The method further includes characterizing the input data based at least in part on a plurality of predetermined metrics, where the predetermined metrics determine a structure of the input data. The method further includes mapping the target data in the source fields of the segments to a plurality of target fields of a target schema based at least in part on the characterizing. The method further includes populating the target fields of the target schema with the target data from the source fields based at least in part on the mapping.

Transforming data for a target schema

Disclosed aspects relate to entity model establishment using an infinite mixture topic modeling (IMTM) technique. A set of event data which corresponds to a set of events may be detected. Using the IMTM technique, the set of event data which corresponds to the set of events may be analyzed. Based on analyzing the set of event data using the IMTM technique, a set of entity models for the set of events may be determined. Based on the set of entity models for the set of events, a subset of the set of entity models for the set of events may be established.

Entity model establishment

Aspects of the present invention disclose a method for analyzing data from a plurality of data sources. The method includes extracting features of data received from a first source and from a second source by analyzing the data received from the first source of data and from the second source. The method includes processors determining a topic modeling framework, wherein the topic modeling framework detects a semantic structure of the features of the data received from the first data source and the second source. The method includes processors applying the topic modeling framework to the data received from the first source of data the second source of data. The method includes generating a final entity output, wherein the final entity output includes a cluster of entity mentions that the applied topic modeling framework extracts from the first source of data and the second source of data are combined.

Generating chains of entity mentions

Embodiments generally relate to robots and enabling robots to locate objects in a physical environment. In some embodiments, a method includes charging a radio-frequency identification (RFID) tag with an RFID reader, where the RFID tag is coupled to an object, and where the RFID reader is coupled to a robot arm. The method further includes receiving a plurality of responses from the RFID tag, where each response includes a power value to which the RFID tag was charged and a time value for charging the RFID tag to the power value. The method further includes moving the RFID reader to a plurality of RFID reader positions using the robot arm, where each RFID reader position is associated with one of the responses of the plurality of responses. The method further includes determining a plurality of distances from the RFID reader to the RFID tag based on power values and the time values of the respective responses at the respective RFID reader positions. The method further includes determining a location of the RFID tag based on the plurality of distances.

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Sunnyvale, CA, United States of America

Dingcheng Li