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Constructing Conceptual Knowledge Artefacts: Activity Patterns in the Ontology Authoring Process

Markel Vigo, Caroline Jay, Robert Stevens

In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems: CHI 2015; 18 Apr 2015-24 Apr 2015; Seoul, Korea. ACM Press; 2015.

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Abstract

Ontologies are complex knowledge representation artefacts used widely across biomedical, media and industrial domains. They are used for defining terminologies and providing metadata, especially for linked open data, and as such their use is rapidly increasing, but so far development tools have not benefited from empirical research into the ontology authoring process. This paper presents the results of a study that identifies common activity patterns through analysis of eye-tracking data and the event logs of the popular authoring tool, Protégé. Informed by the activity patterns discovered, we propose design guidelines for bulk editing, efficient reasoning and increased situational awareness. Methodological implications go beyond the remit of knowledge artefacts: we establish a method for studying the usability of software designed for highly specialised complex domains

Bibliographic metadata

Type of resource:
Content type:
Type of conference contribution:
Publication date:
Conference title:
CHI 2015
Conference venue:
Seoul, Korea
Conference start date:
2015-04-18
Conference end date:
2015-04-24
Publisher:
Abstract:
Ontologies are complex knowledge representation artefacts used widely across biomedical, media and industrial domains. They are used for defining terminologies and providing metadata, especially for linked open data, and as such their use is rapidly increasing, but so far development tools have not benefited from empirical research into the ontology authoring process. This paper presents the results of a study that identifies common activity patterns through analysis of eye-tracking data and the event logs of the popular authoring tool, Protégé. Informed by the activity patterns discovered, we propose design guidelines for bulk editing, efficient reasoning and increased situational awareness. Methodological implications go beyond the remit of knowledge artefacts: we establish a method for studying the usability of software designed for highly specialised complex domains
Digtial Object Identifier:
10.1145/2702123.2702495
Language:
eng

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:247112
Created by:
Vigo, Markel
Created:
18th January, 2015, 11:43:58
Last modified by:
Vigo, Markel
Last modified:
24th November, 2015, 08:02:51

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