Peter C Weinstein

US Patent:

8112374, Feb 7, 2012

Filed:

Nov 22, 2006

Appl. No.:

11/562437

Inventors:

Henry Van Dyke Parunak - Ann Arbor MI, US
Theodore C. Belding - Ann Arbor MI, US
Sven Brueckner - Dexter MI, US
Paul Chiusano - Medford MA, US
Peter Weinstein - Saline MI, US

International Classification:

G06F 17/00
G06N 5/02

US Classification:

706 45, 706 20, 706 14

Abstract:

A clustering method yields a searchable hierarchy to speed retrieval, and can function dynamically with a changing document population. Nodes of the hierarchy climb up and down the emerging hierarchy based on locally sensed information. Like previous ant clustering algorithms, the inventive process is dynamic, decentralized, and anytime. Unlike them, it yields a hierarchical structure. For simplicity, and reflecting our initial application in the domain of textual information, the items being clustered are documents, but the principles may be applied to any collection of data items.

US Patent:

20050154701, Jul 14, 2005

Filed:

Dec 1, 2004

Appl. No.:

11/001555

Inventors:

H. Van Parunak - Ann Arbor MI, US
Peter Weinstein - Saline MI, US
Sven Brueckner - Dexter MI, US
John Sauter - Ann Arbor MI, US

International Classification:

G06F007/00

US Classification:

707001000

Abstract:

A data analysis system with dynamic information extraction and self-organizing evidence construction finds numerous applications in information gathering and analysis, including the extraction of targeted information from voluminous textual resources. One disclosed method involves matching text with a concept map to identify evidence relations, and organizing the evidence relations into one or more evidence structures that represent the ways in which the concept map is instantiated in the evidence relations. The text may be contained in one or more documents in electronic form, and the documents may be indexed on a paragraph level of granularity. The evidence relations may self-organize into the evidence structures, with feedback provided to the user to guide the identification of evidence relations and their self-organization into evidence structures. A method of extracting information from one or more documents in electronic form includes the steps of clustering the document into clustered text; identifying patterns in the clustered text; and matching the patterns with the concept map to identify evidence relations such that the evidence relations self-organize into evidence structures that represent the ways in which the concept map is instantiated in the evidence relations.

US Patent:

20070006132, Jan 4, 2007

Filed:

May 8, 2006

Appl. No.:

11/430108

Inventors:

Peter Weinstein - Saline MI, US
Thomas Phelps - Brighton MI, US
H. Parunak - Ann Arbor MI, US

International Classification:

G06F 9/44

US Classification:

717104000

Abstract:

A methodology for semi-automatic unification of models of business processes permits accurate comparison of business processes across government agencies or other organizations despite heterogeneity of language and style in the original models. Input into an algorithm includes a set of models produced by different organizations that describe roughly equivalent business processes (the original models). Output includes a single integrated model in which similarities are made explicit in shared generic layers of the model, while differences are represented in organization-specific layers that inherit from the generic layers (the unified model). Internally, the system represents the original and unified models in description logic using the Web Ontology Language (OWL).

US Patent:

20120284269, Nov 8, 2012

Filed:

Feb 7, 2012

Appl. No.:

13/368036

Inventors:

Henry Van Dyke Parunak - Ann Arbor MI, US
Theodore C. Belding - Ann Arbor MI, US
Sven Brueckner - Dexter MI, US
Paul Chiusano - Medford MA, US
Peter Weinstein - Saline MI, US

International Classification:

G06F 17/30

US Classification:

707737, 707E17089

Abstract:

A clustering method yields a searchable hierarchy to speed retrieval, and can function dynamically with a changing document population. Nodes of the hierarchy climb up and down the emerging hierarchy based on locally sensed information. Like previous ant clustering algorithms, the inventive process is dynamic, decentralized, and anytime. Unlike them, it yields a hierarchical structure. For simplicity, and reflecting our initial application in the domain of textual information, the items being clustered are documents, but the principles may be applied to any collection of data items.

Licenses:

New York - Currently registered 1980

Education:

Univ of San Diego

Work:

Work:

Specialties:

Gastroenterology

Work:

Western Mass Gastroenterology
299 Carew St STE 419, Springfield, MA 01104
413-7377951 (phone), 413-7470443 (fax)

Education:

Medical School
Columbia University College of Physicians and Surgeons
Graduated: 1992

Procedures:

Colonoscopy
Endoscopic Retrograde Cholangiopancreatography (ERCP)
Sigmoidoscopy
Upper Gastrointestinal Endoscopy

Conditions:

Cirrhosis
Gastrointestinal Hemorrhage
Acute Pancreatitis
Anal or Rectal Abscess
Benign Polyps of the Colon

Languages:

English
Spanish

Description:

Dr. Weinstein graduated from the Columbia University College of Physicians and Surgeons in 1992. He works in Springfield, MA and specializes in Gastroenterology. Dr. Weinstein is affiliated with Baystate Medical Center and Mercy Medical Center.