Data processing: database and file management or data structures – Database design – Data structure types
Patent
1996-08-01
1999-05-25
Black, Thomas G.
Data processing: database and file management or data structures
Database design
Data structure types
707 4, 707 5, G06F 1730
Patent
active
059078413
ABSTRACT:
A document detection system capable of detecting a desired document from a large number of documents easily and accurately in which the user can make a judgement concerning the appropriateness of the detection result quickly. In the system, those documents which contain a semantic structure of a detection command containing natural language expressions entered by a user are detected. Also, the keywords of each document can be extracted from the summary of each document and those documents whose keywords match with detection keywords specified by a user can be detected. Also, the summary of each detected document can be automatically generated according to text structures of each detected document and displayed along with the detected document itself. Also, the detection processing can be carried out with respect to the summaries of the documents instead of the documents themselves.
REFERENCES:
patent: 5020019 (1991-05-01), Ogawa
patent: 5099426 (1992-03-01), Carlgreen et al.
patent: 5151857 (1992-09-01), Matsui
patent: 5265065 (1993-11-01), Turtle
patent: 5297027 (1994-03-01), Morimoto et al.
patent: 5321833 (1994-06-01), Chang et al.
patent: 5649193 (1997-07-01), Sumita et al.
"Automatic Construction of Networks of Concepts Characterizing Document Databases", Chen et al., IEEE transactions on Systems, Man, and Cybernetics, vol. 22, No. 5, Sep. 1992.
Wendlandt et al., "Incorporating a Semantic Analysis into a Document Retrieval Strategy", Oct. 1991, pp. 270-279.
Jacobs et al., "Natural Language Techniques for Intelligent Information Retrieval", Jun. 1988, pp. 85-99.
IBM Technical Disclosure Bullentin, "Intelligent Document Retrieval", vol. 34, No. 1, Jun. 1991, pp. 403-405.
Sembok et al., "Silol: A Simple Logical-Linguistc Document Retrieval System", Info. Proc. & Management, vol. 26, No. 1, (1990), pp. 111-134.
Japanese Word Dictionary, EDR Technical Report, Japan Electronic Dictionary Research Institute, Ltd., pp. 27-33 (Apr. 1990).
Doi, M. et al., Research on Model Based Document Processing System Darwin, Interact, pp. 1101-1106 (1987).
Sumita, K. et al., "A Discourse Structure Analyzer for Japanese Text", Proceedings of the International Conference on Fifth Generation Computer Systems 1992, pp. 1133-1140.
Faloutsos, C., "Access Methods for Text", Computing Surveys, vol. 17, No. 1, pp. 49-74 (Mar. 1985).
Liddy, E. D. et al., Dr-Link, Document Retrieval Using Linguistic Knowledge, Project Description, ACM SIGIR Forum, vol. 26, No. 2, pp. 39-43 (1992).
Ito Etsuo
Miike Seiji
Ono Kenji
Sumita Kazuo
Takebayashi Yoichi
Alam Hosain T.
Black Thomas G.
Kabushiki Kaisha Toshiba
LandOfFree
Document detection system with improved document detection effic 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 detection system with improved document detection effic, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Document detection system with improved document detection effic will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-409049