Article

KBS development through ontology mapping and ontology driven acquisition

Authors:

Derek SleemanAuthors Info & Claims

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

Pages 23 - 30

https://doi.org/10.1145/1298406.1298412

Published: 28 October 2007 Publication History

Abstract

The benefits of reuse have long been recognized in the knowledge engineering community where the dream of creating knowledge based systems (KBSs) on-the-fly from libraries of reusable components is still to be fully realised. In this paper we present a two stage methodology for creating KBSs: first reusing domain knowledge by mapping it, where appropriate, to the requirements of a generic problem solver; and secondly using this mapped knowledge and the requirements of the problem solver to "drive" the acquisition of the additional knowledge it needs.allFor example, suppose we have available a KBS which is composed of a propose-and-revise problem solver linked with an appropriate knowledge base/ontology from the elevator domain. Then to create a diagnostic KBS in the same domain, we require to map relevant information from the elevator knowledge base/ontology, such as component information, to a diagnostic problem solver, and then to extend it with diagnostic information such as malfunctions, symptoms and repairs for each component. We have developed MAKTab, a Protege plug-in which supports both these steps and results in a composite KBS which is executable.

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Cited By

Rehage G(2019)Ontologie-basiertes WBS für die ArbeitsplanungIntelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen10.1007/978-3-662-58020-2_3(41-90)Online publication date: 6-Apr-2019
https://doi.org/10.1007/978-3-662-58020-2_3
Said Saleh MIsmail OKamel AHassan H(2018)From CommonKADS to SOA Environment: An Adaptation ModelArabian Journal for Science and Engineering10.1007/s13369-018-3114-543:12(7605-7619)Online publication date: 28-Feb-2018
https://doi.org/10.1007/s13369-018-3114-5
Rehage GJoppen RGausemeier J(2016)Perspective on the Design of a Knowledge-based System Embedding Linked Data for Process PlanningProcedia Technology10.1016/j.protcy.2016.08.03626(267-276)Online publication date: 2016
https://doi.org/10.1016/j.protcy.2016.08.036
Show More Cited By

Index Terms

KBS development through ontology mapping and ontology driven acquisition
1. Computing methodologies
  1. Machine learning
    1. Learning settings
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Published In

cover image ACM Conferences

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

October 2007

216 pages

ISBN:9781595936431

DOI:10.1145/1298406

Editors:
Derek Sleeman
University of Aberdeen, UK
,
Ken Barker
University of Texas at Austin

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 28 October 2007

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K-CAP07

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K-CAP07: International Conference on Knowledge Capture 2007

October 28 - 31, 2007

BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

Rehage G(2019)Ontologie-basiertes WBS für die ArbeitsplanungIntelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen10.1007/978-3-662-58020-2_3(41-90)Online publication date: 6-Apr-2019
https://doi.org/10.1007/978-3-662-58020-2_3
Said Saleh MIsmail OKamel AHassan H(2018)From CommonKADS to SOA Environment: An Adaptation ModelArabian Journal for Science and Engineering10.1007/s13369-018-3114-543:12(7605-7619)Online publication date: 28-Feb-2018
https://doi.org/10.1007/s13369-018-3114-5
Rehage GJoppen RGausemeier J(2016)Perspective on the Design of a Knowledge-based System Embedding Linked Data for Process PlanningProcedia Technology10.1016/j.protcy.2016.08.03626(267-276)Online publication date: 2016
https://doi.org/10.1016/j.protcy.2016.08.036
Gray PRuncie TSleeman D(2014)Reuse of constraint knowledge bases and problem solvers explored in engineering designArtificial Intelligence for Engineering Design, Analysis and Manufacturing10.1017/S089006041400013429:1(1-18)Online publication date: 1-Apr-2014
https://doi.org/10.1017/S0890060414000134
Gobin B(2012)Reusing OWL-S to model knowledge intensive tasks performed by Knowledge Based Systems2011 Ninth International Conference on ICT and Knowledge Engineering10.1109/ICTKE.2012.6152410(34-42)Online publication date: Jan-2012
https://doi.org/10.1109/ICTKE.2012.6152410
Panda SMishra D(2010)Development of a tribological failure knowledge modelInternational Journal of Knowledge Engineering and Data Mining10.1504/IJKEDM.2010.0348391:2(99-114)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1504/IJKEDM.2010.034839
Pavanasam VSubramaniam CMulchandani MParthasarthy A(2010)Knowledge Based Requirement Engineering Framework for Emergency Management SystemProceedings of the 2010 Second International Conference on Computer Engineering and Applications - Volume 0110.1109/ICCEA.2010.123(601-605)Online publication date: 19-Mar-2010
https://dl.acm.org/doi/10.1109/ICCEA.2010.123
Sleeman DAiken AMoss LKinsella JSim M(2010)A System to Detect Inconsistencies between a Domain Expert’s Different Perspectives on (Classification) TasksAdvances in Machine Learning II10.1007/978-3-642-05179-1_14(293-314)Online publication date: 2010
https://doi.org/10.1007/978-3-642-05179-1_14

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