Reymonrod G Vasquez

8271870, Sep 18, 2012

Sep 11, 2009

12/558483

Kunal Verma - Santa Clara CA, US
Alex Kass - Palo Alto CA, US
Reymonrod G. Vasquez - Vallejo CA, US

Accenture Global Services Limited - Dublin

G06F 17/21

715237

A document analysis, commenting, and reporting system provides tools that automate quality assurance analysis tailored to specific document types. As one example, the specific document type may be a requirements specification and the system may tag different parts of requirements, including actors, entities, modes, and a remainder. The system also includes tools for visualizing the relationships between entities in a requirements specification and for identifying whether the requirements specification provides for attributes specified by a non-functional attribute glossary. The system facilitates the visualization of interactions of individual entities, of a system of entities, or entities identified for a specific use. The different types of visualizations distinguish between interacting and non-interacting entities, and highlight where a set of requirements may be deficient with respect to the non-interacting entities. However, the flexibility of the system permits analysis of any other document type, such as instruction manuals and best practices guides.

8442985, May 14, 2013

Feb 17, 2011

13/029705

Kunal Verma - Sunnyvale CA, US
Reymonrod G. Vasquez - San Jose CA, US
Alex Kass - Palo Alto CA, US
Santonu Sarkar - Bangalore, IN
Vibhu S. Sharma - Aligarh UP, IN

Accenture Global Services Limited

G06F 17/30

707748

A textual analysis system is configured to compare textual content of textual statements. The textual analysis system is configured to score the textual content of a first textual statement and a second textual statement. Based on the score, the textual analysis system may determine a level of correspondence between the first textual statement and the second textual statement. The textual analysis system is configured to generate an interactive visual representation of the correspondence levels between the first statement and the second statement. The visual representation may be transmitted to a display.

8489639, Jul 16, 2013

Mar 4, 2011

13/041193

Peter Yeh - San Jose CA, US
Prateek Jain - Dayton OH, US
Kunal Verma - Sunnyvale CA, US
Reymonrod G. Vasquez - San Jose CA, US

Accenture Global Services Limited - Dublin

G06F 15/16
G06F 17/20

707791, 707797

An information source alignment system may include a tree generation module executed by a computer system to generate a source category hierarchy tree for a source class in a first information source and a target category hierarchy tree for a target class in a second information source. The source and target category hierarchy trees may be constructed from a class hierarchy of a knowledge source. A class-similarity determination module may compare the source and target category hierarchy trees. An alignment module may determine whether the source and target classes are aligned based on the comparison of the source and target category hierarchy trees.

8577938, Nov 5, 2013

Aug 23, 2011

13/215775

Peter Z. Yeh - San Jose CA, US
Kunal Verma - Sunnyvale CA, US
Reymonrod Vasquez - Vallejo CA, US
Harsha Kumar Srivatsa - Fremont CA, US
Mark Gilbert Kobe - Chicago IL, US

Accenture Global Services Limited - Dublin

G06F 17/00

707821, 707687, 707705, 707709, 707813, 707964

A data mapping acceleration system may include a syntactic profile module to generate a syntactic profile of a data source to be mapped. A semantic classification module may generate a semantic classification of the data source. A similarity module may evaluate the syntactic profile and semantic classification to determine an overall similarity between attributes of data from the data source for mapping the data source.

20110022902, Jan 27, 2011

Jul 29, 2010

12/846615

Kunal Verma - Santa Clara CA, US
Alex Kass - Palo Alto CA, US
Reymonrod G. Vasquez - Vallejo CA, US

G06F 17/00
G06F 11/07

714 57, 715237, 715234, 714E11025

A document analysis, commenting, and reporting system provides tools that automate quality assurance analysis tailored to specific document types. As one example, the system may implement state machines that evaluate document structure instances to determine whether the document structure instances conform to pre-defined syntaxes. The state machines may include error states and final states, and messages may be associated with the error states for display when a state machine reaches the error state,

20120197631, Aug 2, 2012

Dec 14, 2011

13/325596

Senthil Ramani - Bangalore, IN
Malharrao Mujumdar - Maharashtra, IN
Venkatraman Vaidhyanathan - Bangalore, IN
Reshma Nuggehally - Bangalore, IN
Kunal Verma - Sunnyvale CA, US
Reymonrod Vasquez - San Jose CA, US
Santhosh Kumar Shivaram - Bangalore, IN
Venkatesh Subramanian - Bangalore, IN
Sumit Dayal - Bangalore, IN
Alex Kass - Palo Alto CA, US

Accenture Global Services Limited - Dublin

G06F 17/27

704 9

A computer-implemented method identifies textual statement relationships. Textual statement pairs including a first and second textual statement are identified, and parsed word group pairs are extracted from first and second textual statements. The parsed word groups are compared, and a parsed word score for each statement pair is calculated. Word vectors for the first and second textual statements are created and compared. A word vector score is calculated based on the comparison of the word vectors for the first and second textual statements. A match score is determined for the textual statement pair, with the match score being representative of at least one of the parsed word score and the word vector score.

20120297281, Nov 22, 2012

Aug 6, 2012

13/567577

Kunal Verma - Sunnyvale CA, US
Alex Kass - Palo Alto CA, US
Reymonrod G. Vasquez - San Jose CA, US

ACCENTURE GLOBAL SERVICES LIMITED - Dublin

G06F 17/00

715212, 715259

A method includes identifying a first term in a document structure instance that matches a first permissible term in a glossary and identifying a second term in the document structure instance that matches a second permissible term in the glossary. A determination is made whether the document structure instance establishes an interaction between the first term and the second term. The method also includes generating, with a processor, a relationship map. The relationship map includes a first object that represents the first term, a second object that represents the second term, and an interaction object that represents whether the instance establishes the interaction between the first term and the second term.

20130246442, Sep 19, 2013

Apr 30, 2013

13/873903

- Dublin, IE
Reymonrod G. Vasquez - San Jose CA, US
Alex Kass - Palo Alto CA, US
Santonu Sarkar - Bangalore, IN
Vibhu Sharma - Aligarh UP, IN

Accenture Global Services Limited - Dublin

G06Q 10/10

707749

A textual analysis system is configured to compare textual content of textual statements. The textual analysis system is configured to score the textual content of a first textual statement and a second textual statement. Based on the score, the textual analysis system may determine a level of correspondence between the first textual statement and the second textual statement. The textual analysis system is configured to generate an interactive visual representation of the correspondence levels between the first statement and the second statement. The visual representation may be transmitted to a display.