Article

Knowledge entry as the graphical assembly of components

Authors:

Vinay Chaudhri,

Andres Rodriguez,

Jérôme Thoméré,

Thomas ReichherzerAuthors Info & Claims

K-CAP '01: Proceedings of the 1st international conference on Knowledge capture

Pages 22 - 29

https://doi.org/10.1145/500737.500745

Published: 22 October 2001 Publication History

Abstract

Despite some successes, the lack of tools to allow subject matter experts to directly enter, query, and debug formal domain knowledge in a knowledge-base still remains a major obstacle to their deployment. Our goal is to create such tools, so that a trained knowledge engineer is no longer required to mediate the interaction. This paper presents our work on the knowledge entry part of this overall knowledge capture task, which is based on several claims: that users can construct representations by connecting pre-fabricated, representational components, rather than writing low-level axioms; that these components can be presented to users as graphs; and the user can then perform composition through graph manipulation operations. To operationalize this, we have developed a novel technique of graphical dialog using examples of the component concepts, followed by an automated process for generalizing the user's graphically-entered assertions into axioms. We present these claims, our approach, the system (called SHAKEN) that we are developing, and an evaluation of our progress based on having users encode knowledge using the system.

References

[1]

K. Barker, B. Porter, and P. Clark. A library of generic concepts for composing knowledge bases. In Proc. 1st Int Conf on Knowledge Capture (K-Cap'01), 2001.

Digital Library

[2]

J. Blythe, J. Kim, S. Ramachandran, and Y. Gil. An integrated environment for knowledge acquisition. In Int. Conf. on Intelligent User Interfaces,13-20, 2001.

Digital Library

[3]

A. J. Canas, K. M. Ford, J. D. Novak, P. Hayes, T. Reichherzer, and N. Suri. Using concept maps with technology to enhance cooperative learning in latin america. Science Teacher, 2001. (To appear).

[4]

B. Chandrasekaren. Generic tasks in knowledge-based reasoning: High-level building blocks for expert system design. IEEE Expert, pages 23-30, Fall 1986.

[5]

P. Clark and B. Porter. Building concept representations from reusable components. In AAAI-97, pages 369- 376, CA, 1997. AAAI.

Digital Library

[6]

P. Clark and B. Porter. KM - the knowledge machine: Users manual. Technical report, UT Austin, 1999. (http://www.cs.utexas.edu/users/mfkb/km.html).

[7]

P. Clark, J. Thompson, and B. Porter. A knowledgebased approach to question-answering. In R. Fikes and V. Chaudhri, editors, Proc. AAAI'99 Fall Symposium on Question-Answering Systems. AAAI, 1999.

[8]

DARPA. The rapid knowledge formation project (web site). http://reliant.teknowledge.com/RKF/, 2000.

[9]

J. Domingue. Tadzebao and webonto: Discussing, browsing, and editing ontologies on the web. In Proc. KAW'98, 1998.

[10]

A. Farquhar, R. Fikes, and J. P. Rice. A Collaborative Tool for Ontology Construction. International Journal of Human Computer Studies, 46:707-727, 1997.

Digital Library

[11]

B. R. Gaines. An interactive visual language for term subsumption languages. In IJCAI'91, 1991.

Digital Library

[12]

B. R. Gaines and M. L. G. Shaw. Webmap: Concept mapping on the web. The World Wide Web Journal, 1(1), 1996.

[13]

W. E. Grosso, H. Eriksson, R. W. Fergerson, J. H. Gennari, S. W. Tu, and M. A. Musen. Knowledge modeling at the millennium. In Proc. KAW'99, 1999.

[14]

J. Kim and Y. Gil. Knowledge analysis of process models. In IJCAI'01, 2001. (to appear).

Digital Library

[15]

S. M. Paley, J. D. Lowrance, and P. D. Karp. A Generic Knowledge Base Browser and Editor. In Proc. IAAI'97. AAAI Press, 1997.

Digital Library

[16]

J. F. Sowa. Conceptual structures: Information processing in mind and machine. Addison Wesley, 1984.

Digital Library

[17]

L. G. Terveen and D. A. Wroblewski. A collaborative interface for browsing and editing large knowledge bases. In AAAI'90, pages 491-496, 1990.

[18]

B. J. Wielinga, A. T. Schreiber, and J. A. Breuker. KADS: A modelling approach to knowledge engineering. Knowledge Aquisition, 4(1), 1992.

Digital Library

Cited By

Gil Y(2015)Human Tutorial Instruction in the RawACM Transactions on Interactive Intelligent Systems10.1145/25319205:1(1-29)Online publication date: 25-Mar-2015
https://dl.acm.org/doi/10.1145/2531920
Starr RParente De Oliveira J(2013)Concept maps as the first step in an ontology construction methodInformation Systems10.5555/2451993.245224238:5(771-783)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.5555/2451993.2452242
Chen HGou LZhang XGiles COssowski SLecca P(2012)Discovering missing links in networks using vertex similarity measuresProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245305(138-143)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.1145/2245276.2245305
Show More Cited By

Index Terms

Knowledge entry as the graphical assembly of components
1. Computing methodologies
  1. Artificial intelligence
    1. Search methodologies
      1. Discrete space search
      2. Game tree search
  2. Machine learning
    1. Learning settings
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

cover image ACM Conferences

K-CAP '01: Proceedings of the 1st international conference on Knowledge capture

October 2001

220 pages

ISBN:1581133804

DOI:10.1145/500737

Conference Chairs:
Yolanda Gil
University of Southern California/Information Sciences Institute
,
Mark Musen
Stanford University
,
Jude Shavlik
University of Wisconsin at Madison

Copyright © 2001 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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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2001

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K-CAP01

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SIGAI

K-CAP01: International Conference on Knowledge Capture

October 22 - 23, 2001

British Columbia, Victoria, Canada

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K-CAP '01 Paper Acceptance Rate 26 of 82 submissions, 32%;

Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

Gil Y(2015)Human Tutorial Instruction in the RawACM Transactions on Interactive Intelligent Systems10.1145/25319205:1(1-29)Online publication date: 25-Mar-2015
https://dl.acm.org/doi/10.1145/2531920
Starr RParente De Oliveira J(2013)Concept maps as the first step in an ontology construction methodInformation Systems10.5555/2451993.245224238:5(771-783)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.5555/2451993.2452242
Chen HGou LZhang XGiles COssowski SLecca P(2012)Discovering missing links in networks using vertex similarity measuresProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245305(138-143)Online publication date: 26-Mar-2012
https://dl.acm.org/doi/10.1145/2245276.2245305
Fenz S(2012)Increasing knowledge capturing efficiency by enterprise portalsVINE10.1108/0305572121122726442:2(237-250)Online publication date: 11-May-2012
https://doi.org/10.1108/03055721211227264
Fritz CGil YPu PPazzani MAndré ERiecken D(2011)A formal framework for combining natural instruction and demonstration for end-user programmingProceedings of the 16th international conference on Intelligent user interfaces10.1145/1943403.1943440(237-246)Online publication date: 13-Feb-2011
https://dl.acm.org/doi/10.1145/1943403.1943440
Gil YRatnakar VFrtiz CPu PPazzani MAndré ERiecken D(2011)TellMeProceedings of the 16th international conference on Intelligent user interfaces10.1145/1943403.1943439(227-236)Online publication date: 13-Feb-2011
https://dl.acm.org/doi/10.1145/1943403.1943439
Gil Y(2011)Review: interactive knowledge capture in the new millenniumThe Knowledge Engineering Review10.1017/S026988891000040826:1(45-51)Online publication date: 1-Feb-2011
https://dl.acm.org/doi/10.1017/S0269888910000408
Gunning DChaudhri VClark PBarker KChaw SGreaves MGrosof BLeung AMcDonald DMishra SPacheco JPorter BSpaulding ATecuci DTien J(2010)Project Halo Update — Progress Toward Digital AristotleAI Magazine10.1609/aimag.v31i3.230231:3(33-58)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1609/aimag.v31i3.2302
Gaines B(2009)Designing Visual Languages for Description LogicsJournal of Logic, Language and Information10.1007/s10849-008-9078-118:2(217-250)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.1007/s10849-008-9078-1
Callaway CBasili RBos JCopestake A(2008)The TextCap semantic interpreterProceedings of the 2008 Conference on Semantics in Text Processing10.5555/1626481.1626507(327-342)Online publication date: 22-Sep-2008
https://dl.acm.org/doi/10.5555/1626481.1626507
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