Heather Bergeron - Westminster MA, US Chris Easton - Andover MA, US Kunjan Jhaveri - Woburn MA, US James Kennedy - Houston TX, US Eugene Krylov - Wakefield MA, US John Morris - Sudbury MA, US Simone Pringle - Sudbury MA, US Benjamin Sprecher - Grafton MA, US John Trustman - Gloucester MA, US Andre Yoshida - Still River MA, US
International Classification:
G06F017/60
US Classification:
705001000, 705007000
Abstract:
The disclosed technology can identify indicia associated with different entity types that interact within an industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed in response to the execution of at least some of the transaction sequence and can serve, at least in part, as the basis for processing requests associated with the entities. The requests can correspond to interactions associated with the entities and may be represented in a natural language format, exhibiting a fixed context and a fixed grammar.
Configuring A Semantic Network To Process Health Care Transactions
Heather Bergeron - Westminster MA, US Chris Easton - Andover MA, US Andrew Kennedy - Needham MA, US James Kennedy - Houston TX, US Doug Koen - Cambridge MA, US Eugene Krylov - Wakefield MA, US John Morris - Sudbury MA, US Jayant Pai - Acton MA, US Alon Peled - Boston MA, US Simone Pringle - Sudbury MA, US John Trustman - Gloucester MA, US Lyubomir Vujisic - Arlington MA, US Andre Yoshida - Still River MA, US
International Classification:
G06F017/60
US Classification:
705002000, 705026000
Abstract:
The disclosed technology can identify indicia associated with different entity types (e.g., health care companies, health care suppliers, health care practitioners, etc.) that interact within a health care industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed based, at least in part, on a detection of at least one interaction associated with the entities.
Processing Health Care Transactions Using A Semantic Network
Heather Bergeron - Westminster MA, US Chris Easton - Andover MA, US Andrew Kennedy - Needham MA, US James Kennedy - Houston TX, US Doug Koen - Cambridge MA, US Eugene Krylov - Wakefield MA, US John Morris - Sudbury MA, US Jayant Pai - Acton MA, US Alon Peled - Newton Center MA, US Simone Pringle - Sudbury MA, US John Trustman - Gloucester MA, US Lyubomir Vujisic - Arlington MA, US Andre Yoshida - Still River MA, US
International Classification:
G06F 17/27
US Classification:
704009000
Abstract:
The disclosed technology can execute a sequence of transactions to process a request associated with a health care company and/or other entities interacting in a health care industry. Execution of at least some of the transaction sequence can result in the formation of an instance of a semantic network that can be used to support such processing. The request can correspond to a change in a relationship associated with such entities, where such request corresponds to an electronic document exhibiting a structured natural language format with a fixed context and a fixed grammar.
Configuring A Semantic Network To Process Transactions
Heather Bergeron - Westminster MA, US Chris Easton - Andover MA, US Kunjan Jhaveri - Woburn MA, US James Kennedy - Houston TX, US Eugene Krylov - Wakefield MA, US Simone Pringle - Sudbury MA, US Benjamin Sprecher - Grafton MA, US John Trustman - Gloucester MA, US Andre Yoshida - Still River MA, US
International Classification:
G06F017/60 G06F007/00 G06F017/30 G06F017/27
US Classification:
704009000, 705002000, 707003000
Abstract:
The disclosed technology can identify indicia associated with different entity types that interact within an industry, identify one or more relationships (e.g., contractual provisions) that can affect interactions between such entity types, and identify transactions associated with one or more of the interactions. Further, the identified transactions can be organized into one or more transaction sequences. The identified indicia, the one or more identified relationships, and the one or more transaction sequences can then be associated to form a semantic network. An instance of the semantic network can be formed in response to the execution of at least some of the transaction sequence and can serve, at least in part, as the basis for processing requests associated with the entities. The requests can correspond to interactions associated with the entities and may be represented in a natural language format, exhibiting a fixed context and a fixed grammar.
Name / Title
Company / Classification
Phones & Addresses
Andre Yoshida Secretary
Yoshidasoft Inc Business Services at Non-Commercial Site
134 Newtown Rd, Acton, MA 01720
Andre W. Yoshida President
MULTI-TIER SOLUTIONS, INC
320 Still Riv Rd, Still River, MA 01467
Andre Yoshida Principal
Brisa Del Mar Vacation Rentals Equipment Rental/Leasing
134 Newtown Rd, Acton, MA 01720
Andre Yoshida Vice-President
ACT3 Technologies Commercial Physical Research
132 Great Rd, Stow, MA 01775
Youtube
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Black-Belt/Maste... 3/Male/Feather - Final.
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Andr yoshida
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