Treffer: The SGML standard for a technical documents writing assistance system

Title:
The SGML standard for a technical documents writing assistance system
Source:
Intelligent multimedia information retrieval systems and management (New York NY, October 11-12, 1994). :612-630
Publisher Information:
Paris: CID, 1994.
Publication Year:
1994
Physical Description:
print, 25 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. Paul Sabatier, ARAMIIHS, inst. rech. informatique, 31062 Toulouse, France
Matra Marconi Space, ARAMIIHS, 31077 Toulouse, France
Rights:
Copyright 1995 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3553824
Database:
PASCAL Archive

Weitere Informationen

We have designed a Writing Assisance System the aim of which is to provide adapted tools to improve the production and the management of technical documents in the space domain. To address the need for document exchange between several actors, documents handled in our project, have to be standardized according to the international standard SGML. A generic tagging (DTD2) enables the definition of the logical structure of a set of documents. Several editing modes exist to produce documents but whatever the selected mode, the initial document must undergo several successive processes to finally obtain a SGML document. Very often the writing of a new document requires the re-use of existing documents or parts thereof. That is why our assistance tool has an Information Retrieval Systems using a natural language query system to restore information. It si based on a statistical linguistic approch which is enhanced by the use of the SGML document structure. We have noticed that document handling still has areas unvolved besides the obvious advantages of structured documentation.