Antonio P. Sanfilippo - Richland WA, US Andrew J. Cowell - Kennewick WA, US Michelle L. Gregory - Richland WA, US Robert L. Baddeley - Richland WA, US Patrick R. Paulson - Pasco WA, US Stephen C. Tratz - Richland WA, US Ryan E. Hohimer - West Richland WA, US
Hypothesis analysis methods, hypothesis analysis devices, and articles of manufacture are described according to some aspects. In one aspect, a hypothesis analysis method includes providing a hypothesis, providing an indicator which at least one of supports and refutes the hypothesis, using the indicator, associating evidence with the hypothesis, weighting the association of the evidence with the hypothesis, and using the weighting, providing information regarding the accuracy of the hypothesis.
Processes, Data Structures, And Apparatuses For Representing Knowledge
Ryan Hohimer - West Richland WA, US Judith Thomson - Guelph, CA William Harvey - Richland WA, US Patrick Paulson - Pasco WA, US Mark Whiting - Richland WA, US Stephen Tratz - Richland WA, US Alan Chappell - Seattle WA, US R. Butner - Richland WA, US
Assignee:
Battelle Memorial Institute - Richland WA
International Classification:
G06F 17/30
US Classification:
707003000
Abstract:
Processes, data structures, and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.
Data Structures And Apparatuses For Representing Knowledge
Ryan E. Hohimer - West Richland WA, US Judith R. Thomson - Guelph, CN William J. Harvey - Columbus OH, US Patrick R. Paulson - Richland WA, US Mark A. Whiting - Richland WA, US Stephen C. Tratz - Boise ID, US Alan R. Chappell - Seattle WA, US R. Scott Butner - Richland WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
Data structures and apparatuses to represent knowledge are disclosed. The processes can comprise labeling elements in a knowledge signature according to concepts in an ontology and populating the elements with confidence values. The data structures can comprise knowledge signatures stored on computer-readable media. The knowledge signatures comprise a matrix structure having elements labeled according to concepts in an ontology, wherein the value of the element represents a confidence that the concept is present in an information space. The apparatus can comprise a knowledge representation unit having at least one ontology stored on a computer-readable medium, at least one data-receiving device, and a processor configured to generate knowledge signatures by comparing datasets obtained by the data-receiving devices to the ontologies.
Pacific Northwest National Laboratory
Research Scientist
Miami University Aug 2001 - Aug 2003
Assistant Professor
Stockell Information Systems 1989 - 1994
Programmer and Analyst
Education:
North Dakota State University 1994 - 2000
Doctorates, Doctor of Philosophy, Computer Science
Minnesota State University Moorhead 1985 - 1988
Masters, Computer Science
Skills:
Machine Learning Computer Science Algorithms Artificial Intelligence Data Mining Latex Software Engineering Semantic Web Bioinformatics Information Extraction Pattern Recognition Semantic Technologies Ontologies Statistics