@inproceedings{672af9cd4bfc46f489f7f63ec4ddab3e,
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.",
keywords = "Competency questions, Ontology authoring",
author = "Matt Dennis and {van Deemter}, Kees and Daniele Dell{\textquoteright}Aglio and Pan, {Jeff Z.}",
note = "This research has been funded by the EPSRC project: WhatIf: Answering “What if” questions for Ontology Authoring. EPSRC reference EP/J014176/1.; 16th International Semantic Web Conference, ISWC 2017 ; Conference date: 21-10-2017 Through 25-10-2017",
year = "2017",
doi = "10.1007/978-3-319-68288-4_15",
language = "English",
isbn = "9783319682877",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer ",
pages = "243--259",
editor = "Claudia d'Amato and Miriam Fernandez and Valentina Tamma and Freddy Lecue and Philippe Cudr{\'e}-Mauroux and Juan Sequeda and Christoph Lange and Jeff Heflin",
booktitle = "The Semantic Web – ISWC 2017 - 16th International Semantic Web Conference, Proceedings",
}