Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements

Laura Elizabeth Moss, Derek Sleeman, Malcolm Sim

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Refinements generated for a knowledge base often involve
the learning of new knowledge to be added to or replace existing parts
of a knowledge base. However, the justifiability of the refinement in the
context of the domain (domain acceptability) is often overlooked. The
work reported in this paper describes an approach to the generation
of domain acceptable refinements for incomplete and incorrect ontology
individuals through reasoning by analogy using existing domain knowledge.
To illustrate this approach, individuals for refinement are identified
during the application of a knowledge-based system, EIRA; when EIRA
fails in its task, areas of its domain ontology are identified as requiring
refinement. Refinements are subsequently generated by identifying and
reasoning with similar individuals from the domain ontology. To evaluate
this approach EIRA has been applied to the Intensive Care Unit (ICU)
domain. An evaluation (by a domain expert) of the refinements generated
by EIRA has indicated that this approach successfully produces
domain acceptable refinements.
Original languageEnglish
Title of host publicationEKAW 2010 Proceedings 17th International Conference
Subtitle of host publicationKnowledge Engineering and Management by the Masses
Place of PublicationBerlin
PublisherSpringer
Pages534-543
Number of pages10
ISBN (Print)978-3-642-16437-8, 3642164374
Publication statusPublished - Oct 2010

Fingerprint

Ontology
Intensive care units
Knowledge based systems

Keywords

  • Ontology Refinement
  • Analogical Reasoning
  • Medicine

Cite this

Moss, L. E., Sleeman, D., & Sim, M. (2010). Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements. In EKAW 2010 Proceedings 17th International Conference: Knowledge Engineering and Management by the Masses (pp. 534-543). Berlin: Springer .

Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements. / Moss, Laura Elizabeth; Sleeman, Derek; Sim, Malcolm.

EKAW 2010 Proceedings 17th International Conference: Knowledge Engineering and Management by the Masses. Berlin : Springer , 2010. p. 534-543.

Research output: Chapter in Book/Report/Conference proceedingChapter

Moss, LE, Sleeman, D & Sim, M 2010, Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements. in EKAW 2010 Proceedings 17th International Conference: Knowledge Engineering and Management by the Masses. Springer , Berlin, pp. 534-543.
Moss LE, Sleeman D, Sim M. Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements. In EKAW 2010 Proceedings 17th International Conference: Knowledge Engineering and Management by the Masses. Berlin: Springer . 2010. p. 534-543
Moss, Laura Elizabeth ; Sleeman, Derek ; Sim, Malcolm. / Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements. EKAW 2010 Proceedings 17th International Conference: Knowledge Engineering and Management by the Masses. Berlin : Springer , 2010. pp. 534-543
@inbook{7013fd8d7d1f42f48da933a6700b18df,
title = "Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements",
abstract = "Refinements generated for a knowledge base often involve the learning of new knowledge to be added to or replace existing parts of a knowledge base. However, the justifiability of the refinement in the context of the domain (domain acceptability) is often overlooked. The work reported in this paper describes an approach to the generation of domain acceptable refinements for incomplete and incorrect ontology individuals through reasoning by analogy using existing domain knowledge. To illustrate this approach, individuals for refinement are identified during the application of a knowledge-based system, EIRA; when EIRA fails in its task, areas of its domain ontology are identified as requiring refinement. Refinements are subsequently generated by identifying and reasoning with similar individuals from the domain ontology. To evaluate this approach EIRA has been applied to the Intensive Care Unit (ICU) domain. An evaluation (by a domain expert) of the refinements generated by EIRA has indicated that this approach successfully produces domain acceptable refinements.",
keywords = "Ontology Refinement, Analogical Reasoning, Medicine",
author = "Moss, {Laura Elizabeth} and Derek Sleeman and Malcolm Sim",
year = "2010",
month = "10",
language = "English",
isbn = "978-3-642-16437-8",
pages = "534--543",
booktitle = "EKAW 2010 Proceedings 17th International Conference",
publisher = "Springer",

}

TY - CHAP

T1 - Reasoning by Analogy in the Generation of Domain Acceptable Ontology Renements

AU - Moss, Laura Elizabeth

AU - Sleeman, Derek

AU - Sim, Malcolm

PY - 2010/10

Y1 - 2010/10

N2 - Refinements generated for a knowledge base often involve the learning of new knowledge to be added to or replace existing parts of a knowledge base. However, the justifiability of the refinement in the context of the domain (domain acceptability) is often overlooked. The work reported in this paper describes an approach to the generation of domain acceptable refinements for incomplete and incorrect ontology individuals through reasoning by analogy using existing domain knowledge. To illustrate this approach, individuals for refinement are identified during the application of a knowledge-based system, EIRA; when EIRA fails in its task, areas of its domain ontology are identified as requiring refinement. Refinements are subsequently generated by identifying and reasoning with similar individuals from the domain ontology. To evaluate this approach EIRA has been applied to the Intensive Care Unit (ICU) domain. An evaluation (by a domain expert) of the refinements generated by EIRA has indicated that this approach successfully produces domain acceptable refinements.

AB - Refinements generated for a knowledge base often involve the learning of new knowledge to be added to or replace existing parts of a knowledge base. However, the justifiability of the refinement in the context of the domain (domain acceptability) is often overlooked. The work reported in this paper describes an approach to the generation of domain acceptable refinements for incomplete and incorrect ontology individuals through reasoning by analogy using existing domain knowledge. To illustrate this approach, individuals for refinement are identified during the application of a knowledge-based system, EIRA; when EIRA fails in its task, areas of its domain ontology are identified as requiring refinement. Refinements are subsequently generated by identifying and reasoning with similar individuals from the domain ontology. To evaluate this approach EIRA has been applied to the Intensive Care Unit (ICU) domain. An evaluation (by a domain expert) of the refinements generated by EIRA has indicated that this approach successfully produces domain acceptable refinements.

KW - Ontology Refinement

KW - Analogical Reasoning

KW - Medicine

M3 - Chapter

SN - 978-3-642-16437-8

SN - 3642164374

SP - 534

EP - 543

BT - EKAW 2010 Proceedings 17th International Conference

PB - Springer

CY - Berlin

ER -