z-logo
open-access-imgOpen Access
Discourse Strategies Model: an initial phase for discovery of the fact-based statements from descriptive texts
Author(s) -
Bruce A. Calway,
R. L. Smith
Publication year - 1999
Publication title -
ajis. australasian journal of information systems/ajis. australian journal of information systems/australian journal of information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 18
eISSN - 1326-2238
pISSN - 1039-7841
DOI - 10.3127/ajis.v7i1.284
Subject(s) - extant taxon , computer science , descriptive statistics , process (computing) , linguistics , descriptive research , resource (disambiguation) , domain of discourse , natural language processing , data science , artificial intelligence , knowledge management , sociology , social science , programming language , evolutionary biology , computer network , biology , philosophy , mathematics , statistics
Fact-based conceptual modelling approaches seek, as one goal, to express detail about a universe of discourse (UoD) as elementary declarative statements, generalised from collections of data. A further resource available to the systems analyst, as the fact-modeller, is to discover fact-based statements from descriptive natural language information systems specifications. However, such extant formalised approaches as exist, that can assist the fact based analyst to process textual resources, are incomplete. This paper proposes a discourse strategies model, for use as an initial process for the fact-based analyst processing descriptive text. The model is synthesised from extant linguistic and fact-based modelling approaches represented in literature. The model proposed is exercised using an example descriptive text

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom