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Applications of Large Displays: Advancing User Support in Large Scale Ontology Alignment
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
2016 (English)In: Proceedings of the Doctoral Consortium at the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 18, 2016 / [ed] Philippe Cudre-Mauroux, Natasha Noy and Riichiro Mizoguchi, Aachen, Germany: CEUR Workshop Proceedings , 2016, p. 50-57Conference paper, Published paper (Refereed)
Abstract [en]

Producing alignments of the highest quality requires ‘humans in the loop’, however, user involvement is currently one of the challenges for the ontology alignment community. Ontology alignment is a cognitively intensive task and could be efficiently supported by user interfaces encompassing well-designed visualizations and interaction techniques. This work investigates the applicationof large, high-resolution displays to improve users’ cognitive support and identifies several promising directions for their application - improving ontologies’ and alignments’ navigation, supporting users’ thinking process and collaboration.

Place, publisher, year, edition, pages
Aachen, Germany: CEUR Workshop Proceedings , 2016. p. 50-57
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1733
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-134161OAI: oai:DiVA.org:liu-134161DiVA, id: diva2:1068976
Conference
Doctoral Consortium at the 15th International Semantic Web Conference, October 18, Kobe, Japan
Funder
CUGS (National Graduate School in Computer Science)Swedish e‐Science Research CenterEU, FP7, Seventh Framework Programme, FP7-IP-608142Available from: 2017-01-26 Created: 2017-01-26 Last updated: 2018-01-13
In thesis
1. Fostering User Involvement in Ontology Alignment and Alignment Evaluation
Open this publication in new window or tab >>Fostering User Involvement in Ontology Alignment and Alignment Evaluation
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The abundance of data at our disposal empowers data-driven applications and decision making. The knowledge captured in the data, however, has not been utilized to full potential, as it is only accessible to human interpretation and data are distributed in heterogeneous repositories.

Ontologies are a key technology unlocking the knowledge in the data by providing means to model the world around us and infer knowledge implicitly captured in the data. As data are hosted by independent organizations we often need to use several ontologies and discover the relationships between them in order to support data and knowledge transfer. Broadly speaking, while ontologies provide formal representations and thus the basis, ontology alignment supplies integration techniques and thus the means to turn the data kept in distributed, heterogeneous repositories into valuable knowledge.

While many automatic approaches for creating alignments have already been developed, user input is still required for obtaining the highest-quality alignments. This thesis focuses on supporting users during the cognitively intensive alignment process and makes several contributions.

We have identified front- and back-end system features that foster user involvement during the alignment process and have investigated their support in existing systems by user interface evaluations and literature studies. We have further narrowed down our investigation to features in connection to the, arguably, most cognitively demanding task from the users’ perspective—manual validation—and have also considered the level of user expertise by assessing the impact of user errors on alignments’ quality. As developing and aligning ontologies is an error-prone task, we have focused on the benefits of the integration of ontology alignment and debugging.

We have enabled interactive comparative exploration and evaluation of multiple alignments at different levels of detail by developing a dedicated visual environment—Alignment Cubes—which allows for alignments’ evaluation even in the absence of reference alignments.

Inspired by the latest technological advances we have investigated and identified three promising directions for the application of large, high-resolution displays in the field: improving the navigation in the ontologies and their alignments, supporting reasoning and collaboration between users.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. p. 73
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1891
Keywords
Knowledge representation, ontology, ontology engineering, ontology debugging, ontology matching, ontology matching evaluation, user interfaces, human-computer interaction, large and high-resolution displays
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-143034 (URN)10.3384/diss.diva-143034 (DOI)9789176854037 (ISBN)
Public defence
2018-01-26, Planck, Hus F, Campus Valla, Linköping, 13:15 (English)
Opponent
Supervisors
Funder
Swedish Research Council, 2010-4759CUGS (National Graduate School in Computer Science)Swedish e‐Science Research CenterEU, FP7, Seventh Framework Programme, FP7-IP-608142
Available from: 2018-01-04 Created: 2017-11-16 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf