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
Original language | English |
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Title of host publication | Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
DOIs | |
Publication status | Published - 2015 |
Event | CHI 2015 - Seoul, Korea Duration: 18 Apr 2015 → 24 Apr 2015 |
Conference
Conference | CHI 2015 |
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City | Seoul, Korea |
Period | 18/04/15 → 24/04/15 |
Keywords
- Ontologies
- knowledge representation
- semantic web
- activity patterns
- authoring tools
- complex domains