Computing authoring tests from competency questions: Experimental validation

Matt Dennis; Kees van Deemter; Daniele Dell’Aglio; Jeff Z. Pan

doi:10.1007/978-3-319-68288-4_15

Computing authoring tests from competency questions: Experimental validation

Matt Dennis^*, Kees van Deemter, Daniele Dell’Aglio, Jeff Z. Pan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

This paper explores whether Authoring Tests derived from Competency Questions accurately represent the expectations of ontology authors. In earlier work we proposed that an ontology authoring interface can be improved by allowing the interface to test whether a given Competency Question (CQ) is able to be answered by the ontology at a given stage of its construction, an approach known as CQ-driven Ontology Authoring (CQOA). The experiments presented in the present paper suggest that CQOA’s understanding of CQs matches users’ understanding quite well, especially for inexperienced ontology authors.

Original language	English
Title of host publication	The Semantic Web – ISWC 2017
Subtitle of host publication	16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I
Editors	Claudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange, Jeff Heflin
Publisher	Springer Verlag
Pages	243-259
Number of pages	17
ISBN (Electronic)	978-3-319-68288-4
ISBN (Print)	978-3-319-68287-7
DOIs	https://doi.org/10.1007/978-3-319-68288-4_15
Publication status	Published - 4 Oct 2017
Event	16th International Semantic Web Conference - Vienna, Austria Duration: 21 Oct 2017 → 25 Oct 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10587
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Semantic Web Conference
Abbreviated title	ISWC 2017
Country/Territory	Austria
City	Vienna
Period	21/10/17 → 25/10/17

Keywords

Competency questions
Ontology authoring
RCUK
EPSRC
EP/J014176/1

Access to Document

10.1007/978-3-319-68288-4_15

Authors Post-print copy
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-68288-4_15.
Accepted author manuscript (Post-print), 454 KB

https://link.springer.com/chapter/10.1007%2F978-3-319-68288-4_15

Cite this

Dennis, M., van Deemter, K., Dell’Aglio, D., & Pan, J. Z. (2017). Computing authoring tests from competency questions: Experimental validation. In C. d'Amato, M. Fernandez, V. Tamma, F. Lecue, P. Cudré-Mauroux, J. Sequeda, C. Lange, & J. Heflin (Eds.), The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I (pp. 243-259). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10587). Springer Verlag. https://doi.org/10.1007/978-3-319-68288-4_15

Dennis, Matt ; van Deemter, Kees ; Dell’Aglio, Daniele et al. / Computing authoring tests from competency questions : Experimental validation. The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I. editor / Claudia d'Amato ; Miriam Fernandez ; Valentina Tamma ; Freddy Lecue ; Philippe Cudré-Mauroux ; Juan Sequeda ; Christoph Lange ; Jeff Heflin. Springer Verlag, 2017. pp. 243-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Computing authoring tests from competency questions: Experimental validation",

abstract = "This paper explores whether Authoring Tests derived from Competency Questions accurately represent the expectations of ontology authors. In earlier work we proposed that an ontology authoring interface can be improved by allowing the interface to test whether a given Competency Question (CQ) is able to be answered by the ontology at a given stage of its construction, an approach known as CQ-driven Ontology Authoring (CQOA). The experiments presented in the present paper suggest that CQOA{\textquoteright}s understanding of CQs matches users{\textquoteright} understanding quite well, especially for inexperienced ontology authors.",

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author = "Matt Dennis and {van Deemter}, Kees and Daniele Dell{\textquoteright}Aglio and Pan, {Jeff Z.}",

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Dennis, M, van Deemter, K, Dell’Aglio, D & Pan, JZ 2017, Computing authoring tests from competency questions: Experimental validation. in C d'Amato, M Fernandez, V Tamma, F Lecue, P Cudré-Mauroux, J Sequeda, C Lange & J Heflin (eds), The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10587, Springer Verlag, pp. 243-259, 16th International Semantic Web Conference, Vienna, Austria, 21/10/17. https://doi.org/10.1007/978-3-319-68288-4_15

Computing authoring tests from competency questions: Experimental validation. / Dennis, Matt; van Deemter, Kees; Dell’Aglio, Daniele et al.
The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I. ed. / Claudia d'Amato; Miriam Fernandez; Valentina Tamma; Freddy Lecue; Philippe Cudré-Mauroux; Juan Sequeda; Christoph Lange; Jeff Heflin. Springer Verlag, 2017. p. 243-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10587).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Computing authoring tests from competency questions

T2 - 16th International Semantic Web Conference

AU - Dennis, Matt

AU - van Deemter, Kees

AU - Dell’Aglio, Daniele

AU - Pan, Jeff Z.

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Y1 - 2017/10/4

N2 - This paper explores whether Authoring Tests derived from Competency Questions accurately represent the expectations of ontology authors. In earlier work we proposed that an ontology authoring interface can be improved by allowing the interface to test whether a given Competency Question (CQ) is able to be answered by the ontology at a given stage of its construction, an approach known as CQ-driven Ontology Authoring (CQOA). The experiments presented in the present paper suggest that CQOA’s understanding of CQs matches users’ understanding quite well, especially for inexperienced ontology authors.

AB - This paper explores whether Authoring Tests derived from Competency Questions accurately represent the expectations of ontology authors. In earlier work we proposed that an ontology authoring interface can be improved by allowing the interface to test whether a given Competency Question (CQ) is able to be answered by the ontology at a given stage of its construction, an approach known as CQ-driven Ontology Authoring (CQOA). The experiments presented in the present paper suggest that CQOA’s understanding of CQs matches users’ understanding quite well, especially for inexperienced ontology authors.

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SN - 978-3-319-68287-7

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 259

BT - The Semantic Web – ISWC 2017

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A2 - Fernandez, Miriam

A2 - Tamma, Valentina

A2 - Lecue, Freddy

A2 - Cudré-Mauroux, Philippe

A2 - Sequeda, Juan

A2 - Lange, Christoph

A2 - Heflin, Jeff

PB - Springer Verlag

Y2 - 21 October 2017 through 25 October 2017

ER -

Dennis M, van Deemter K, Dell’Aglio D, Pan JZ. Computing authoring tests from competency questions: Experimental validation. In d'Amato C, Fernandez M, Tamma V, Lecue F, Cudré-Mauroux P, Sequeda J, Lange C, Heflin J, editors, The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I. Springer Verlag. 2017. p. 243-259. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-68288-4_15

Computing authoring tests from competency questions: Experimental validation

Abstract

Publication series

Conference

Keywords

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