Knowledge representation in the TRAINS-93 conversation system

David R. Traum, Lenhart K. Schubert, Nathaniel G. Martin, Chung Hee Hwang, Peter Heeman, George Ferguson, James F. Allen, Massimo Poesio, Marc Light

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

We describe the goals, architecture, and functioning of the TRAINS-93 system, with emphasis on the representational issues involved in putting together a complex language processing and reasoning agent. The system is intended as an experimental prototype of an intelligent, conversationally proficient planning advisor in a dynamic domain of cargo trains and factories. We explain some of the goals and particulars of the KRs used, evaluate the extent to which they served their purposes, and point out some of the tensions between representations that needed to be resolved. On the whole, we found that using very expressive representations minimized the tensions, since it is easier to extract what one needs from an elaborate representation retaining all semantic nuances, than to make up for lost information.

Original languageEnglish (US)
Pages (from-to)173-223
Number of pages51
JournalInternational Journal of Expert Systems
Volume9
Issue number1
StatePublished - 1996
Externally publishedYes

Fingerprint

Knowledge representation
Industrial plants
Semantics
Planning
Processing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Traum, D. R., Schubert, L. K., Martin, N. G., Hwang, C. H., Heeman, P., Ferguson, G., ... Light, M. (1996). Knowledge representation in the TRAINS-93 conversation system. International Journal of Expert Systems, 9(1), 173-223.

Knowledge representation in the TRAINS-93 conversation system. / Traum, David R.; Schubert, Lenhart K.; Martin, Nathaniel G.; Hwang, Chung Hee; Heeman, Peter; Ferguson, George; Allen, James F.; Poesio, Massimo; Light, Marc.

In: International Journal of Expert Systems, Vol. 9, No. 1, 1996, p. 173-223.

Research output: Contribution to journalArticle

Traum, DR, Schubert, LK, Martin, NG, Hwang, CH, Heeman, P, Ferguson, G, Allen, JF, Poesio, M & Light, M 1996, 'Knowledge representation in the TRAINS-93 conversation system', International Journal of Expert Systems, vol. 9, no. 1, pp. 173-223.
Traum DR, Schubert LK, Martin NG, Hwang CH, Heeman P, Ferguson G et al. Knowledge representation in the TRAINS-93 conversation system. International Journal of Expert Systems. 1996;9(1):173-223.
Traum, David R. ; Schubert, Lenhart K. ; Martin, Nathaniel G. ; Hwang, Chung Hee ; Heeman, Peter ; Ferguson, George ; Allen, James F. ; Poesio, Massimo ; Light, Marc. / Knowledge representation in the TRAINS-93 conversation system. In: International Journal of Expert Systems. 1996 ; Vol. 9, No. 1. pp. 173-223.
@article{bd837459c1454eaa8353cd50a817ba96,
title = "Knowledge representation in the TRAINS-93 conversation system",
abstract = "We describe the goals, architecture, and functioning of the TRAINS-93 system, with emphasis on the representational issues involved in putting together a complex language processing and reasoning agent. The system is intended as an experimental prototype of an intelligent, conversationally proficient planning advisor in a dynamic domain of cargo trains and factories. We explain some of the goals and particulars of the KRs used, evaluate the extent to which they served their purposes, and point out some of the tensions between representations that needed to be resolved. On the whole, we found that using very expressive representations minimized the tensions, since it is easier to extract what one needs from an elaborate representation retaining all semantic nuances, than to make up for lost information.",
author = "Traum, {David R.} and Schubert, {Lenhart K.} and Martin, {Nathaniel G.} and Hwang, {Chung Hee} and Peter Heeman and George Ferguson and Allen, {James F.} and Massimo Poesio and Marc Light",
year = "1996",
language = "English (US)",
volume = "9",
pages = "173--223",
journal = "International Journal of Expert Systems",
issn = "0894-9077",
publisher = "JAI Press",
number = "1",

}

TY - JOUR

T1 - Knowledge representation in the TRAINS-93 conversation system

AU - Traum, David R.

AU - Schubert, Lenhart K.

AU - Martin, Nathaniel G.

AU - Hwang, Chung Hee

AU - Heeman, Peter

AU - Ferguson, George

AU - Allen, James F.

AU - Poesio, Massimo

AU - Light, Marc

PY - 1996

Y1 - 1996

N2 - We describe the goals, architecture, and functioning of the TRAINS-93 system, with emphasis on the representational issues involved in putting together a complex language processing and reasoning agent. The system is intended as an experimental prototype of an intelligent, conversationally proficient planning advisor in a dynamic domain of cargo trains and factories. We explain some of the goals and particulars of the KRs used, evaluate the extent to which they served their purposes, and point out some of the tensions between representations that needed to be resolved. On the whole, we found that using very expressive representations minimized the tensions, since it is easier to extract what one needs from an elaborate representation retaining all semantic nuances, than to make up for lost information.

AB - We describe the goals, architecture, and functioning of the TRAINS-93 system, with emphasis on the representational issues involved in putting together a complex language processing and reasoning agent. The system is intended as an experimental prototype of an intelligent, conversationally proficient planning advisor in a dynamic domain of cargo trains and factories. We explain some of the goals and particulars of the KRs used, evaluate the extent to which they served their purposes, and point out some of the tensions between representations that needed to be resolved. On the whole, we found that using very expressive representations minimized the tensions, since it is easier to extract what one needs from an elaborate representation retaining all semantic nuances, than to make up for lost information.

UR - http://www.scopus.com/inward/record.url?scp=0030392172&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030392172&partnerID=8YFLogxK

M3 - Article

VL - 9

SP - 173

EP - 223

JO - International Journal of Expert Systems

JF - International Journal of Expert Systems

SN - 0894-9077

IS - 1

ER -