Information Retrieval - Semantic similarity determination for words

B. Assadian; B. Azvine; T. P. Martin

Information Retrieval - Semantic similarity determination for words

B. Assadian (Inventor), B. Azvine (Inventor), T. P. Martin (Inventor)

Department of Engineering Mathematics

Research output: Patent

Abstract

NOVELTY - Relative frequency of occurrence for each distinct word sequence among word sequences containing the word, is calculated. A fuzzy set containing corresponding fuzzy membership values calculated from the relative frequency, is generated. A probability that the first word of the pair is semantically suitable as a replacement for the second word, is calculated for each pair of words, using the fuzzy sets. USE - For determining semantic similarity of words selected from documents, for retrieving information in an information system. ADVANTAGE - The more broadly-based semantic relationships and increased number of words represented in the matrix, ensure improved information retrieval of search engines with respect to other information sets. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for the following: (1) information retrieval apparatus; and (2) information processing apparatus.

Original language	Undefined/Unknown
Patent number	WO2005041063-A1; EP1668541-A1; US2007016571-A1
Publication status	Published - 2005

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Cite this

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title = "Information Retrieval - Semantic similarity determination for words",

abstract = "NOVELTY - Relative frequency of occurrence for each distinct word sequence among word sequences containing the word, is calculated. A fuzzy set containing corresponding fuzzy membership values calculated from the relative frequency, is generated. A probability that the first word of the pair is semantically suitable as a replacement for the second word, is calculated for each pair of words, using the fuzzy sets. USE - For determining semantic similarity of words selected from documents, for retrieving information in an information system. ADVANTAGE - The more broadly-based semantic relationships and increased number of words represented in the matrix, ensure improved information retrieval of search engines with respect to other information sets. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for the following: (1) information retrieval apparatus; and (2) information processing apparatus.",

author = "B. Assadian and B. Azvine and Martin, {T. P.}",

year = "2005",

language = "Undefined/Unknown",

type = "Patent",

note = "WO2005041063-A1; EP1668541-A1; US2007016571-A1",

}

TY - PAT

T1 - Information Retrieval - Semantic similarity determination for words

AU - Assadian, B.

AU - Azvine, B.

AU - Martin, T. P.

PY - 2005

Y1 - 2005

N2 - NOVELTY - Relative frequency of occurrence for each distinct word sequence among word sequences containing the word, is calculated. A fuzzy set containing corresponding fuzzy membership values calculated from the relative frequency, is generated. A probability that the first word of the pair is semantically suitable as a replacement for the second word, is calculated for each pair of words, using the fuzzy sets. USE - For determining semantic similarity of words selected from documents, for retrieving information in an information system. ADVANTAGE - The more broadly-based semantic relationships and increased number of words represented in the matrix, ensure improved information retrieval of search engines with respect to other information sets. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for the following: (1) information retrieval apparatus; and (2) information processing apparatus.

AB - NOVELTY - Relative frequency of occurrence for each distinct word sequence among word sequences containing the word, is calculated. A fuzzy set containing corresponding fuzzy membership values calculated from the relative frequency, is generated. A probability that the first word of the pair is semantically suitable as a replacement for the second word, is calculated for each pair of words, using the fuzzy sets. USE - For determining semantic similarity of words selected from documents, for retrieving information in an information system. ADVANTAGE - The more broadly-based semantic relationships and increased number of words represented in the matrix, ensure improved information retrieval of search engines with respect to other information sets. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for the following: (1) information retrieval apparatus; and (2) information processing apparatus.

M3 - Patent

M1 - WO2005041063-A1; EP1668541-A1; US2007016571-A1

ER -