Adp, Inc.

Motorola Mobility LLC

Haifeng Li

Mir Farooq Ali

Jianguo Li

Roberto A Masiero

Dale William Russell

Jordan Schiffer

James R Talley

Hadar Yacobovitz

Amit Maimon

Guohua Hao

Alain Brown

A method and apparatus for migrating data. A computer system locates information about a structure used to store the data in a source database. The computer system identifies similarities between first columns in the source database and second columns in a destination database based on column names and compatible data types in the information. The computer system also displays suggestions for matches between the first columns in the source database and the second columns in the destination database on a display system based on the similarities identified. Further, the computer system receives user input to the suggestions, enabling reaching a desired level of matching to migrate the data from the source database to the destination database.

Data migration system

Aspects define NoSQL database structures that support wide-column, document, and graph data models. Documents are defined with different, unique keys and stored to different rows in a wide-column store by mapping their respective, unique keys directly to different row keys. Columns are defined for the document rows as including pairs of names and values, each column field having a different column name. Graph edges are defined as a function of relationships between a first source document and a second of the documents as tuples of first source document keys, second document keys as targets, tags as labels of relationships, and values of objects associated with the relationships. The graph edges are stored as graph columns within rows of the first source documents with names that are different from names of other columns within the first source document rows.

Database structure for distributed key-value pair, document and graph models

Disclosed are methods and apparatus for processing linguistic expressions (e.g., opinionated text documents). The linguistic expressions are processed by, firstly, detecting topics of interest discussed in the linguistic expressions. The sentiment, or sentiments, of an originator with respect to each of the topics detected in the linguistic expressions is then assessed. The originators are then grouped (or clustered) into one or more groups based on the similarities between the originators' respective sets of detected topics and corresponding sentiments. Semantic information is then associated with a given group. Finally, for a given member of a given group, a profile is created or updated. This profile comprises attributes that may be based on a degree of membership of the given member to the given group and the semantic information associated with the given group.

Communication processing

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Scarsdale, NY, United States of America

Haifeng Li