A document ordering support system employing concept structure based on fuzzy fisheye extraction

Tadashi Ohashi; Hajime Nobuhara; Kaoru Hirota

A document ordering support system employing concept structure based on fuzzy fisheye extraction

Tadashi Ohashi^*, Hajime Nobuhara, Kaoru Hirota

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

Abstract

To classify vast unknown documents on the web according to each user's view, FOCUS (the Fuzzy dOCUment ordering System) is developed based on fuzzy document selection, fuzzy document matching, and semantic concept extraction. The FOCUS can flexibly order vast unknown documents with respect to each user's preference that is obtained by learning based on few training data. An experiment using 60 documents (20 training data and 40 unknown documents) extracted from the Internet Movie Data Base (IMDB), is performed for 5 examinees. It is confirmed that the FOCUS achieves sufficient results (precision rate 60 %).

Original language	English
Pages (from-to)	11-19
Number of pages	9
Journal	International Journal of Fuzzy Systems
Volume	7
Issue number	1
Publication status	Published - Mar 2005
Externally published	Yes

Keywords

Concept Extraction
Document Retrieval
Fuzzy Sets
Vector Space Model

Cite this

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title = "A document ordering support system employing concept structure based on fuzzy fisheye extraction",

abstract = "To classify vast unknown documents on the web according to each user's view, FOCUS (the Fuzzy dOCUment ordering System) is developed based on fuzzy document selection, fuzzy document matching, and semantic concept extraction. The FOCUS can flexibly order vast unknown documents with respect to each user's preference that is obtained by learning based on few training data. An experiment using 60 documents (20 training data and 40 unknown documents) extracted from the Internet Movie Data Base (IMDB), is performed for 5 examinees. It is confirmed that the FOCUS achieves sufficient results (precision rate 60 %).",

keywords = "Concept Extraction, Document Retrieval, Fuzzy Sets, Vector Space Model",

author = "Tadashi Ohashi and Hajime Nobuhara and Kaoru Hirota",

year = "2005",

month = mar,

language = "English",

volume = "7",

pages = "11--19",

journal = "International Journal of Fuzzy Systems",

issn = "1562-2479",

publisher = "Springer International Publishing AG",

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TY - JOUR

T1 - A document ordering support system employing concept structure based on fuzzy fisheye extraction

AU - Ohashi, Tadashi

AU - Nobuhara, Hajime

AU - Hirota, Kaoru

PY - 2005/3

Y1 - 2005/3

N2 - To classify vast unknown documents on the web according to each user's view, FOCUS (the Fuzzy dOCUment ordering System) is developed based on fuzzy document selection, fuzzy document matching, and semantic concept extraction. The FOCUS can flexibly order vast unknown documents with respect to each user's preference that is obtained by learning based on few training data. An experiment using 60 documents (20 training data and 40 unknown documents) extracted from the Internet Movie Data Base (IMDB), is performed for 5 examinees. It is confirmed that the FOCUS achieves sufficient results (precision rate 60 %).

AB - To classify vast unknown documents on the web according to each user's view, FOCUS (the Fuzzy dOCUment ordering System) is developed based on fuzzy document selection, fuzzy document matching, and semantic concept extraction. The FOCUS can flexibly order vast unknown documents with respect to each user's preference that is obtained by learning based on few training data. An experiment using 60 documents (20 training data and 40 unknown documents) extracted from the Internet Movie Data Base (IMDB), is performed for 5 examinees. It is confirmed that the FOCUS achieves sufficient results (precision rate 60 %).

KW - Concept Extraction

KW - Document Retrieval

KW - Fuzzy Sets

KW - Vector Space Model

UR - http://www.scopus.com/inward/record.url?scp=25644459859&partnerID=8YFLogxK

M3 - Review article

AN - SCOPUS:25644459859

SN - 1562-2479

VL - 7

SP - 11

EP - 19

JO - International Journal of Fuzzy Systems

JF - International Journal of Fuzzy Systems

IS - 1

ER -

A document ordering support system employing concept structure based on fuzzy fisheye extraction

Abstract

Keywords

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