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.
%0 Conference Paper
%1 clark01
%A Clark, Peter
%A Thompson, J.
%A Barker, K.
%A Porter, B.
%A Chaudhri, V.
%A Rodriguez, A.
%A Thomere, J.
%A Mishra, S.
%A Gil, Yolanda
%A Hayes, Patrick
%A Reichherzer, T.
%B 1st International Conference on Knowledge Capture (K-Cap '01)
%C Victoria, BC
%D 2001
%I ACM Press
%K web components information knowledge systems semantic acquisition visualization
%P 22--29
%T Knowledge Entry as the Graphical Assembly of Components
%U http://www.cs.toronto.edu/~nernst/papers/peterclark-kcap.pdf
%X 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.
@inproceedings{clark01,
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.},
added-at = {2006-03-24T16:34:33.000+0100},
address = {Victoria, BC},
author = {Clark, Peter and Thompson, J. and Barker, K. and Porter, B. and Chaudhri, V. and Rodriguez, A. and Thomere, J. and Mishra, S. and Gil, Yolanda and Hayes, Patrick and Reichherzer, T.},
biburl = {https://www.bibsonomy.org/bibtex/219b0ba123dbf608cbfe7e94ca23516a8/neilernst},
booktitle = {1st International Conference on Knowledge Capture (K-Cap '01)},
citeulike-article-id = {111789},
description = {sdasda},
interhash = {3e519dbbd180bff01fe1e457663f0369},
intrahash = {19b0ba123dbf608cbfe7e94ca23516a8},
keywords = {web components information knowledge systems semantic acquisition visualization},
pages = {22--29},
pdf = {peterclark-kcap.pdf},
priority = {0},
publisher = {ACM Press},
timestamp = {2006-03-24T16:34:33.000+0100},
title = {Knowledge {E}ntry as the {G}raphical {A}ssembly of {C}omponents},
url = {http://www.cs.toronto.edu/~nernst/papers/peterclark-kcap.pdf},
year = 2001
}