Improving Enterprises Jun 1, 2015 - Dec 2012
Senior Consultant
Vire Consulting, Inc. Jun 2014 - Jun 2015
Business Analyst
Lockheed Martin Jan 2013 - Jun 2014
It Business Process Analyst - Staff
Heartland Payment Systems Jun 2009 - Apr 2011
Quality Assurance Test Engineer
Semantra 2007 - 2008
Qa Lead
Education:
Devry Institute of Technology 1983 - 1988
Bachelors, Bachelor of Science
Michael Patrick Nash - Saskatoon, CA Ryan Scott Breidenbach - Coppell TX, US Kelly Christopher Fox - Austin TX, US Ben Rady - Dallas TX, US Daniel L. James - Annetta TX, US Ruby Bailey - McKinney TX, US Craig Walls - Plano TX, US
International Classification:
G06F 17/30
US Classification:
707 3, 707E17015
Abstract:
The invention utilizes a known syntax and concept model to enable a user to make a reliable and accurate database query with words that more closely resemble the user's natural language and less like a structured database query. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72().
Michael Patrick Nash - Saskatoon, CA Ryan Scott Breidenbach - Coppell TX, US Kelly Christopher Fox - Austin TX, US Ben Rady - Dallas TX, US Daniel L. James - Annetta TX, US Ruby Bailey - McKinney TX, US Craig Walls - Plano TX, US
International Classification:
G06F 17/30
US Classification:
707 4, 707E17015
Abstract:
The invention builds a natural-language query by associating a auto-complete menu system with a domain-specific concept model, generating a command displayed in a list of proper commands, in a auto-complete fashion to the user (the list of proper commands comprising all elements of a set of proper commands), detecting a command choice of the user, and displaying the command choice in the entry area upon determining that the command choice is a proper command, and generating a target concept in a similar manner. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72(b).
Domain-Specific Concept Model For Associating Structured Data That Enables A Natural Language Query
Michael Patrick Nash - Saskatoon, CA Ryan Scott Breidenbach - Coppell TX, US Kelly Christopher Fox - Austin TX, US Ben Rady - Dallas TX, US Daniel L. James - Annetta TX, US Ruby Bailey - McKinney TX, US Craig Walls - Plano TX, US
International Classification:
G06F 17/30
US Classification:
707 4, 707E17015
Abstract:
The invention defines a domain specific concept model that is flexible, intuitive, and which easily integrates into disparate, but similarly architected, domain-specific databases. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72(b).
Disambiguation Of A Structured Database Natural Language Query
Michael Patrick Nash - Saskatoon, CA Ryan Scott Breidenbach - Coppell TX, US Kelly Christopher Fox - Austin TX, US Ben Rady - Dallas TX, US Daniel L. James - Annetta TX, US Ruby Bailey - McKinney TX, US Craig Walls - Plano TX, US Ravi Varanasi - Richardson TX, US
International Classification:
G06F 7/06
US Classification:
707 3, 707E17015
Abstract:
The invention compares a user-generated inquiry to a known data source in order to present a user with a choice of valid natural language inquiries. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.
Ronnie Collver, Jessica Evans, Melissa Medlock, Jim Maskin, Crystal English, Jonathan Stremming, Dana Kelley, Robert Reed, Amanda Lively, Stacy Statler