Document detection system with improved document detection efficiency

• US 5,907,841 A
• Filed: 08/01/1996
• Issued: 05/25/1999
• Est. Priority Date: 01/28/1993
• Status: Expired due to Term

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Takebayashi, Yoichi, Ito, Etsuo, Takeda, Kimihito, Ono, Kenji, Sumita, Kazuo, Miike, Seiji
• Primary Examiner(s): Black, Thomas G.
• Assistant Examiner(s): Alam, Hosain T.
• Application Number:
  US08/690,931
• Time in Patent Office: 1,027 Days
• Field of Search: 395/791, 395/793, 395/605, 707/1-5, 707/6
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/345 Summarisation for human users
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99936 Pattern matching access

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.

Claims

1. A document detection system, comprising:

input means for entering a detection command containing detection keywords specified by a user;

document storage means for storing a plurality of detection target documents;

summary generation means for generating a summary of each detection target document stored in the document storage means, and extracting keywords of each detection target document from the summary of each detection target document; and

detection processing means for identifying those detection target documents stored in the document storage means whose keywords extracted by the summary generation means match with the detection keywords in the detection command entered at the input means as detected documents and for retrieving the detected documents.

2. The system of claim 1, further comprising:

input analysis means for determining a semantic structure of the detection command containing natural language expressions entered by a user; and

wherein the summary generation means also extracts a semantic structure of each sentence in the summary of each detection target document, and the detection processing means identifies those detection target documents whose keywords match with the detection keywords and whose summary contain the sentence structure extracted by the summary generation means which matches with the sentence structure of the detection command determined by the input analysis means.