Viewdata‐type searching in a free‐text (DECO) system; modifications that make searching easier for inexperienced users

1984 ◽  
Vol 18 (4) ◽  
pp. 308-320
Author(s):  
W.M. Henry
Keyword(s):  
Retrieval System ◽  
Text Retrieval ◽  
Hierarchical System ◽  
Free Text ◽  
Electronic Book ◽  
Inverted File ◽  
Retrieval Systems ◽  
Instructional Aids ◽  
Text Searching

The paper describes how slight changes to a free‐text retrieval system (DECO) enable two methods of searching (free‐text and hierarchical) to be offered in one system (VIEWDECO). Users are thus free to choose either method, without the need to switch between different databases. Apart from introducing menus, which are an integral part of a viewdata (hierarchical) system, the technique has also been used to incorporate help messages and other instructional aids. A third method of searching, the ‘Electronic Book’, is also described. Providing three methods of searching in one retrieval system caters for users with a much wider range of skills, and presents an opportunity for a gradual, self‐paced transition to free‐text searching. The technique involves relatively small changes, and should be applicable to many other inverted file, free‐text retrieval systems.

A PC-based free text retrieval system for health care providers

1987 ◽  
Vol 11 (1) ◽  
pp. 69-81 ◽  
Author(s):  
James K. Massey ◽  
Ralph R. Grams ◽  
Ming Jin
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Retrieval System ◽  
Text Retrieval ◽  
Free Text ◽  
Care Providers

Designing Image Retrieval System with the Concept of Visual Keys

2006 ◽  
Vol 10 (2) ◽  
pp. 136-144 ◽  
Author(s):  
Manabu Serata ◽  
◽  
Yutaka Hatakeyama ◽  
Kaoru Hirota
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Image Database ◽  
Text Retrieval ◽  
Image Feature ◽  
Feature Clustering ◽  
Retrieval Time ◽  
Retrieval Systems ◽  
Retrieval Efficiency ◽  
Image Retrieval System

A concept of visual keys is proposed to provide efficient and useful content-based image retrieval systems to users. Visual keys are defined as representative sub-images which are extracted from an image database by using image feature clustering. The proposed system is implemented and is tested on 1,000 images, which are included in the COREL database. Although the system makes use of only 80 sub-images from 8,962 ones extracted from the image database, the performance is kept with 90%. The retrieval time is within 4ms on the proposed system, which has retrieval efficiency like that of text retrieval by being applied text retrieval techniques, and thus the system is expected to provide the services on the WWW.

scholarly journals SciMath: A Mathematical Information Retrieval System using Signature Based B Tree Indexing

2019 ◽  
Vol 8 (11) ◽  
pp. 234-244
Keyword(s):  
Information Retrieval ◽  
Search Engines ◽  
Retrieval System ◽  
Text Retrieval ◽  
Information Retrieval System ◽  
Indexing Scheme ◽  
Design And Implementation ◽  
Retrieval Systems ◽  
Mathematical Information Retrieval

Given a mathematical query, traditional text retrieval systems are not very effective in retrieving mathematical information from scientific documents. This paper presents the design and implementation of a new mathematical information retrieval (MIR) system: SciMath, which can take a mathematical formulae as a query and retrieve the relevant scientific documents consisting the relevant mathematical contents based on a B-Tree indexing scheme. The proposed system is then compared with two classical math-aware search engines to prove its effectiveness.

A Retrieval System for a Library of Pathology Reports, Slides and Kodachromes

1972 ◽  
Vol 11 (03) ◽  
pp. 152-162 ◽  
Author(s):  
P. GAYNON ◽  
R. L. WONG
Keyword(s):  
Medical Records ◽  
Operative Procedure ◽  
Clinical Findings ◽  
Free Text ◽  
X Ray ◽  
Inverted File ◽  
Natural Language Parsing ◽  
On Line ◽  
Pathology Reports ◽  
Frequency Counts

With the objective of providing easier access to pathology specimens, slides and kodachromes with linkage to x-ray and the remainder of the patient’s medical records, an automated natural language parsing routine, based on dictionary look-up, was written for Surgical Pathology document-pairs, each consisting of a Request for Examination (authored by clinicians) and its corresponding report (authored by pathologists). These documents were input to the system in free-text English without manual editing or coding.Two types of indices were prepared. The first was an »inverted« file, available for on-line retrieval, for display of the content of the document-pairs, frequency counts of cases or listing of cases in table format. Retrievable items are patient’s and specimen’s identification data, date of operation, name of clinician and pathologist, etc. The English content of the operative procedure, clinical findings and pathologic diagnoses can be retrieved through logical combination of key words. The second type of index was a catalog. Three catalog files — »operation«, »clinical«, and »pathology« — were prepared by alphabetization of lines formed by the rotation of phrases, headed by keywords. These keywords were automatically selected and standardized by the parsing routine and the phrases were extracted from each sentence of each input document. Over 2,500 document-pairs have been entered and are currently being utilized for purpose of medical education.

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