WO2002057961A3 - Method and system of ranking and clustering for document indexing and retrieval - Google Patents

Method and system of ranking and clustering for document indexing and retrieval Download PDF

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Publication number
WO2002057961A3
WO2002057961A3 PCT/US2002/000402 US0200402W WO02057961A3 WO 2002057961 A3 WO2002057961 A3 WO 2002057961A3 US 0200402 W US0200402 W US 0200402W WO 02057961 A3 WO02057961 A3 WO 02057961A3
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WO
WIPO (PCT)
Prior art keywords
document
query
predicate
structures
relevance
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Application number
PCT/US2002/000402
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French (fr)
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WO2002057961A2 (en
Inventor
Maureen Caudill
Jason Chun-Ming Tseng
Lei Wang
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Science Applic Int Corp
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Priority to AU2002235314A priority Critical patent/AU2002235314A1/en
Publication of WO2002057961A2 publication Critical patent/WO2002057961A2/en
Publication of WO2002057961A3 publication Critical patent/WO2002057961A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G06F16/353—Clustering; Classification into predefined classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3347—Query execution using vector based model
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y10S707/99935—Query augmenting and refining, e.g. inexact access

Abstract

A relevancy ranking and clustering method and system that determines the relevance of a document relative to a user's query using a similarity comparison process. Input queries are parsed into one or more query predicate structures using an ontological parser. The ontological parser parses a set of known documents to generate one or more document predicate structures. A comparison of each query predicate structure with each document predicate structure is performed to determine a matching degree, represented by a real number. A multilevel modifier strategy is implemented to assign different relevance values to the different parts of each predicate structure match to calculate the predicate structure's matching degree. The relevance of a document to a user's query is determined by calculating a similarity coefficient, based on the structures of each pair of query predicates and document predicates. Documents are autonomously clustered using a self-organizing neural network that provides a coordinate system that makes judgments in a non-subjective fashion.
PCT/US2002/000402 2001-01-18 2002-01-10 Method and system of ranking and clustering for document indexing and retrieval WO2002057961A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2002235314A AU2002235314A1 (en) 2001-01-18 2002-01-10 Method and system of ranking and clustering for document indexing and retrieval

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/761,188 2001-01-18
US09/761,188 US6766316B2 (en) 2001-01-18 2001-01-18 Method and system of ranking and clustering for document indexing and retrieval

Publications (2)

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WO2002057961A2 WO2002057961A2 (en) 2002-07-25
WO2002057961A3 true WO2002057961A3 (en) 2003-10-09

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US (2) US6766316B2 (en)
AU (1) AU2002235314A1 (en)
WO (1) WO2002057961A2 (en)

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