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1. WO2002054288 - AUTOMATED ADAPTIVE CLASSIFICATION SYSTEM FOR BAYESIAN KNOWLEDGE NETWORKS

Publication Number WO/2002/054288
Publication Date 11.07.2002
International Application No. PCT/US2001/046907
International Filing Date 07.12.2001
IPC
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
17
Digital computing or data processing equipment or methods, specially adapted for specific functions
30
Information retrieval; Database structures therefor
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
G06F 17/30 (2006.01)
G06K 9/62 (2006.01)
CPC
G06F 16/355
G06F 16/951
G06F 16/954
G06K 9/62
Applicants
  • RIGHTNOW TECHNOLOGIES [US/US]; 77 Discovery Drive Bozeman, MT 59718-9300, US
Inventors
  • RICHTER, James, Neal; US
  • WARNER, Douglas, K.; US
  • PRABU, Ganesh; US
Agents
  • KIRCHER, William, B. ; Shook, Hardy & Bacon L.L.P. One Kansas City Place 1200 Main Street Kansas City, MO 64105-2118, US
Priority Data
09/751,93429.12.2000US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) AUTOMATED ADAPTIVE CLASSIFICATION SYSTEM FOR BAYESIAN KNOWLEDGE NETWORKS
(FR) SYSTEME AUTOMATIQUE DE CLASSIFICATION ADAPTIVE POUR RESEAUX DE CONNAISSANCES BAYESIEN
Abstract
(EN)
A method and apparatus for use in an information retrieval system which derives related informational items that have a usage based relationship strength and results in a more dynamic relationship association between informational items. The system comprises the steps and means for detecting a selection of at least a first and second informational items in an information retrieval session. A relationship type and strength are assigned based on the characteristic similarities and the frequency of selection of the first and second informational items. Also in accordance with the principles of the present invention, the extraction of textual database fields; the application of multiple text classification algorithms; the merging of the algorithm results; the encoding of the merged results as a Bayesian-type link; the use of feedback methods to weight, prune and age the relationship link serves to automate and enhance the process of classification in the system.
(FR)
L'invention concerne un procédé et un appareil utilisés dans un système d'extraction d'informations qui déduit des articles d'information associés possédant un degré relationnel basé sur l'usage, et entraîne une association de relations plus dynamique entre lesdits articles d'information. Le système comprend des moyens permettant de détecter une sélection d'au moins un premier et un second articles d'information dans une session d'extraction d'informations. Un type et un degré de relation sont attribués en fonction de similarités caractéristiques et de la fréquence de sélection des premier et second articles d'information. Selon les principes de l'invention, l'extraction de champs de base de données textuelles, l'application de multiples algorithmes de classification textuelle, la fusion des résultats algorithmiques, le codage des résultats fusionnés sous forme de liaison de type bayesien, l'utilisation de procédés de rétroaction pour pondérer, élaguer et déterminer l'ancienneté de la liaison de relation permettent d'automatiser et d'améliorer le processus classification dans le système.
Also published as
GBGB0220002.0
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