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Richard D Heise, 8347 Pine Hill Ave, Norwalk, CT 06855

Richard Heise Phones & Addresses

47 Pine Hill Ave, Norwalk, CT 06855    203-8533340   

3 Fordham Dr, Norwalk, CT 06855   

32 Pine Hill Ave, Norwalk, CT 06855   

5 Fordham Dr, Norwalk, CT 06855   

2 Hermanny Ct, Norwalk, CT 06855   

East Hardwick, VT   

Walden, VT   

Work

Position: Retired

Education

Degree: Associate degree or higher

Mentions for Richard D Heise

Career records & work history

Medicine Doctors

Richard Heise

Specialties:
Psychologist
Work:
SSM Select Rehabilitation
1027 Bellevue Ave STE 142, Saint Louis, MO 63117
314-7685300 (phone) 314-7685342 (fax)
Procedures:
Psychological and Neuropsychological Tests
Languages:
English, Vietnamese
Description:
Dr. Heise works in Saint Louis, MO and specializes in Psychologist. Dr. Heise is affiliated with Sisters Of Saint Mary Saint Clare Health Center, SSM DePaul Health Center, SSM Saint Marys Hospital and SSM St Joseph Health Center.

License Records

Richard Heise

Licenses:
License #: 11011 - Expired
Issued Date: Jul 25, 2001
Expiration Date: Aug 31, 2004
Type: Architect
Organization:
HRMA INC

Richard Allen Heise

Licenses:
License #: 17486 - Expired
Category: Architect
Issued Date: Aug 7, 2001
Expiration Date: Feb 28, 2005

Richard Heise

Licenses:
License #: 39331 - Expired
Category: Professional
Issued Date: May 19, 2003
Expiration Date: Jun 30, 2009

Richard Heise resumes & CV records

Resumes

Richard Heise Photo 33

Richard Heise

Richard Heise Photo 34

Richard Heise

Location:
United States

Publications & IP owners

Us Patents

Automated Knowledge Base

US Patent:
2023011, Apr 13, 2023
Filed:
Nov 28, 2022
Appl. No.:
18/058937
Inventors:
- New York NY, US
Richard J. HEISE - Carmel NY, US
Ziad GEMAYEL - Tarrytown NY, US
Mohamed MOUINE - Montreal, CA
Assignee:
MORGAN STANLEY SERVICES GROUP INC. - New York NY
International Classification:
G06N 5/022
G06F 40/40
G06F 40/205
G06F 40/295
G06F 40/30
Abstract:
Domain specific knowledge base (KB) contains all concepts from domain and the semantic relations between concepts. The concepts and the semantic relations are extracted from an existing corpus of content for the domain. The World Wide Web Consortium (W3C) standard SKOS (Simple Knowledge Organization System) can be used and two types of semantic relations can be captured: hierarchal and associative. A Natural Language Processing (NLP) software engine can parse the input text to create a semantic knowledge graph, which is then mapped to a SKOS knowledge model. During the linguistic understanding of the text, relevant domain concepts are identified and connected by semantic links. Concepts automatically identified as most important in this domain can be promoted to another layer, referred to as “Topics.”

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