Data processing: presentation processing of document – operator i – Presentation processing of document – Layout
Reexamination Certificate
2007-05-01
2007-05-01
Hutton, Doug (Department: 2176)
Data processing: presentation processing of document, operator i
Presentation processing of document
Layout
C715S252000, C707S793000, C707S793000
Reexamination Certificate
active
09762126
ABSTRACT:
A document categorizing apparatus includes a sentence analyzer12for analyzing a plurality of documents to detect titles thereof; a feature element extractor13for extracting feature elements from the titles detected by the sentence analyzer12from the respective documents; feature table generating means14for generating a feature table representing the relationships between the feature elements extracted from the title and the documents including the feature elements; a document categorizing unit15for categorizing the documents into a plurality of clusters according to semantic similarity on the basis of the content of the feature table; a categorization result storage unit16for storing the clusters created by the document categorization unit15; a cluster merging unit2for performing a cluster merging process upon the clusters stored in the categorization result storage unit6; and an output control unit31for outputting the result of the cluster merging process to a display unit32.
REFERENCES:
patent: 5442778 (1995-08-01), Pedersen et al.
patent: 5461698 (1995-10-01), Schwanke et al.
patent: 5488725 (1996-01-01), Turtle et al.
patent: 5619709 (1997-04-01), Caid et al.
patent: 5931907 (1999-08-01), Davies et al.
patent: 5991756 (1999-11-01), Wu
patent: 6233571 (2001-05-01), Egger et al.
patent: 6243724 (2001-06-01), Mander et al.
patent: 6330576 (2001-12-01), Mochizuki et al.
patent: 6353827 (2002-03-01), Davies et al.
patent: 6370525 (2002-04-01), Kaufman
patent: 6463430 (2002-10-01), Brady et al.
patent: 2003/0046401 (2003-03-01), Abbott et al.
patent: 10-162012 (1998-06-01), None
Zamir et al., “Web Document Clustering: A Feasibility Demonstration”, Aug. 1998, ACM, Inc., pp. 46-54.
“MetaCrawler/Husky Search/Grouper web site”, downloaded Apr. 11, 2004 http://www.cs.washington.edu/research/projects/WebWare1/www/metacrawler, used as background material.
Wong et al., “Improving Document Clustering by Utilizing Meta-Data”, Jul. 7, 2003, used as background information.
Q. He,“A Review of Clustering Algorithms as Applied in IR”, Univ. of Ill. Urbana-Champaign, date unknown.
Oren Zamir, Oren Etzioni, “Grouper: a dynamic clustering interface to Web search results,” Computer Networks, vol. 31, No. 11-16, pp. 1361-1374, May 17, 1999.
Shiomi, et al., “Thesaurus wo mochiita Bunsho Data no Jidou Bunrui hou”, Research Report of Information Processing Society of Japan (IPSJ), vol. 97, No. 4 (97-NL-117), pp. 99-104, (Japan) Jan. 20, 1997.
Zamir O. et al: “Web Document Clustering: A Feasibility Demonstration”, SIGIR '98. Proceeding of the 21st Annual International ACM-SIGIR conference on Research and Development in Information Retrieval. Melbourne, Aug. 24-28, 1998, annual international ACM-SIGIR conference on Research and Development in information Ret, 1998, pp. 46-54, XP002949043 ISBN: 1-58113-015-5.
Willet P: “Recent Trends In Hierarchic Document Clustering: A Critical Review”, Information Processing & Management, Elsevier, Barking, GB, vol. 24, No. 5, 1998, pp. 577-597, XP00573921, ISSN: 0306-4573.
Chang C-H et al: “Customizable multi-engine search tool with clustering”, Computer Networks and ISDN Systems, North Holland Publishing. Amsterdam, NL, vol. 29, No. 8-13, Sep. 1, 1997, pp. 1217-1224, XP004095318, ISN: 0169-7552.
Zamir O; Etzioni O; Madani O; Karp R M: “Fast and Intuitive Clustering of Web Documents”, Proceedings Of The Third International Conference On Knowledge Discovery And Data Mining, Aug. 17, 1997, pp. 287-290, XP002280255, Newport Beach, Ca, USA.
Crouch C. J. Ed—Chiaramella Y. Association For Computing Machinery: “A Cluster-Based Approach to Thesaurus Construction”, Proceedings Of The International Conference On Research and Development In Information Retrieval. (SIGIR). Grenoble, Jun. 13-15, 1988, New York, ACM, US, vol. Conf. 11, Jun. 13, 1988, pp. 309-320, XP000295046.
Salton G. et al: “Term-Weighting Approaches In Automatic Text Retrieval”, Information Processing & Management, Elsevier, Barking, GB, vol. 24, No. 5, 1988, pp. 513-523, Xp002035959, ISSN: 0306-4573.
Miwa Shinji
Nagaishi Michihiro
Blackwell James H
Haro Rosalio
Hutton Doug
Seiko Epson Corporation
LandOfFree
Document categorizing method, document categorizing... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Document categorizing method, document categorizing..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Document categorizing method, document categorizing... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3825902