Text encoding for retrieving scientific and technical information
Abstract
The authors have recently proposed a method a manage and to retrieve scientific and technical information based on the encoding of information within the document using Standard Generalized Markup Language (SGML). The encoding will include the scientific and technical information, as well as associated and ancillary scientific data, management data, and other metadata. The work proposed at the Oak Ridge National Laboratory will include tagset selection, document type definition writing, test document encoding, and programming that will permit various views of a document to be made. This paper describes the proposed method and work. Precise retrieval of contained information is conventionally done by means of Boolean searches to retrieve a set of documents that have been probability of containing the desired information. Standardized terminologies have long been a key element in constructing efficient search plans for these searches. Combined with added techniques of corpus selection, author or institution restriction, etc., effective searches can often be constructed. With the increase in corpus size, however, the standard methods become progressively less effective. The planned method described here involves a radically different approach to the retrieval problems. Its objective is the direct retrieval of information. The work of this study will be carriedmore »
- Authors:
- Publication Date:
- Research Org.:
- Oak Ridge National Lab., TN (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 10112385
- Report Number(s):
- CONF-9110249-1
ON: DE92004403
- DOE Contract Number:
- AC05-84OR21400
- Resource Type:
- Conference
- Resource Relation:
- Conference: International symposium on terminology and documentation in specialized communication,Ontario, (Canada),7-8 Oct 1991; Other Information: PBD: [1991]
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; DATA BASE MANAGEMENT; MATHEMATICAL LOGIC; ENGINEERING PERSONNEL; STANDARDIZED TERMINOLOGY; COOPERATION; SCIENTIFIC PERSONNEL; DATA COMPILATION; INFORMATION RETRIEVAL; RESEARCH PROGRAMS; 990301; 990200; DATA HANDLING; MATHEMATICS AND COMPUTERS
Citation Formats
Strehlow, R A, Tallant, T O, Mason, J D, and Kienlen, P L. Text encoding for retrieving scientific and technical information. United States: N. p., 1991.
Web.
Strehlow, R A, Tallant, T O, Mason, J D, & Kienlen, P L. Text encoding for retrieving scientific and technical information. United States.
Strehlow, R A, Tallant, T O, Mason, J D, and Kienlen, P L. 1991.
"Text encoding for retrieving scientific and technical information". United States.
@article{osti_10112385,
title = {Text encoding for retrieving scientific and technical information},
author = {Strehlow, R A and Tallant, T O and Mason, J D and Kienlen, P L},
abstractNote = {The authors have recently proposed a method a manage and to retrieve scientific and technical information based on the encoding of information within the document using Standard Generalized Markup Language (SGML). The encoding will include the scientific and technical information, as well as associated and ancillary scientific data, management data, and other metadata. The work proposed at the Oak Ridge National Laboratory will include tagset selection, document type definition writing, test document encoding, and programming that will permit various views of a document to be made. This paper describes the proposed method and work. Precise retrieval of contained information is conventionally done by means of Boolean searches to retrieve a set of documents that have been probability of containing the desired information. Standardized terminologies have long been a key element in constructing efficient search plans for these searches. Combined with added techniques of corpus selection, author or institution restriction, etc., effective searches can often be constructed. With the increase in corpus size, however, the standard methods become progressively less effective. The planned method described here involves a radically different approach to the retrieval problems. Its objective is the direct retrieval of information. The work of this study will be carried out by a multi-disciplinary team of engineering, scientific, publication, and information specialists. Computer programs to retrieve information from encoded sample documents will be either acquired or written and then tested. At the final stage of the work, after evaluation of the program, plans will be developed to apply the method to a wide range of specialized fields.},
doi = {},
url = {https://www.osti.gov/biblio/10112385},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 00:00:00 EST 1991},
month = {Tue Dec 31 00:00:00 EST 1991}
}