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User validation in ontology alignment
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
Gulbenkian Science Institute, Oeiras, Portugal.
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2016 (English)In: The Semantic Web - ISWC 2016: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I / [ed] Paul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Krötzsch, Freddy Lecue, Fabian Flöck and Yolanda Gil, Cham, Switzerland: Springer Publishing Company, 2016, p. 200-217Chapter in book (Refereed)
Abstract [en]

User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of automated alignment algorithms. In this paper we present a broad study on user validation of ontology alignments that encompasses three distinct but interrelated aspects: the profile of the user, the services of the alignment system, and its user interface. We discuss key issues pertaining to the alignment validation process under each of these aspects, and provide an overview of how current systems address them. Finally, we use experiments from the Interactive Matching track of the Ontology Alignment Evaluation Initiative (OAEI) 2015 to assess the impact of errors in alignment validation, and how systems cope with them as function of their services.

Place, publisher, year, edition, pages
Cham, Switzerland: Springer Publishing Company, 2016. p. 200-217
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 9981
Keyword [en]
knowledge representation, user interfaces, ontology engineering, ontology alignment
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-131806DOI: 10.1007/978-3-319-46523-4_13ISI: 000389086500013Libris ID: 19790586ISBN: 9783319465227 (print)ISBN: 9783319465234 (print)OAI: oai:DiVA.org:liu-131806DiVA, id: diva2:1033537
Funder
Swedish e‐Science Research CenterCUGS (National Graduate School in Computer Science)EU, FP7, Seventh Framework Programme, FP7-IP-608142
Available from: 2016-10-07 Created: 2016-10-07 Last updated: 2018-01-14Bibliographically approved
In thesis
1. Completion of Ontologies and Ontology Networks
Open this publication in new window or tab >>Completion of Ontologies and Ontology Networks
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The World Wide Web contains large amounts of data, and in most cases this data has no explicit structure. The lack of structure makes it difficult for automated agents to understand and use such data. A step towards a more structured World Wide Web is the Semantic Web, which aims at introducing semantics to data on the World Wide Web. One of the key technologies in this endeavour are ontologies, which provide a means for modeling a domain of interest and are used for search and integration of data.

In recent years many ontologies have been developed. To be able to use multiple ontologies it is necessary to align them, i.e., find inter-ontology relationships. However, developing and aligning ontologies is not an easy task and it is often the case that ontologies and their alignments are incorrect and incomplete. This can be a problem for semantically-enabled applications. Incorrect and incomplete ontologies and alignments directly influence the quality of the results of such applications, as wrong results can be returned and correct results can be missed. This thesis focuses on the problem of completing ontologies and ontology networks.

The contributions of the thesis are threefold. First, we address the issue of completing the is-a structure and alignment in ontologies and ontology networks. We have formalized the problem of completing the is-a structure in ontologies as an abductive reasoning problem and developed algorithms as well as systems for dealing with the problem. With respect to the completion of alignments, we have studied system performance in the Ontology Alignment Evaluation Initiative, a yearly evaluation campaign for ontology alignment systems. We have also addressed the scalability of ontology matching, which is one of the current challenges, by developing an approach for reducing the search space when generating the alignment.Second, high quality completion requires user involvement. As users' time and effort are a limited resource we address the issue of limiting and facilitating user interaction in the completion process. We have conducted a broad study of state-of-the-art ontology alignment systems and identified different issues related to the process. We have also conducted experiments to assess the impact of user errors in the completion process.

While the completion of ontologies and ontology networks can be done at any point in the life-cycle of ontologies and ontology networks, some of the issues can be addressed already in the development phase. The third contribution of the thesis addresses this by introducing ontology completion and ontology alignment into an existing ontology development methodology.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. p. 65
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1852
Keyword
knowledge representation, ontology, ontology engineering, ontology debugging, ontology completion, ontology matching, description logics
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-139487 (URN)10.3384/diss.diva-139487 (DOI)978-91-7685-522-5 (ISBN)
Public defence
2017-09-26, Ada Lovelace, Linköping University, Linköping, 13:15 (English)
Opponent
Supervisors
Funder
Swedish e‐Science Research CenterSwedish Research Council, 2010-4759CUGS (National Graduate School in Computer Science)EU, FP7, Seventh Framework Programme, FP7-IP-608142
Available from: 2017-08-22 Created: 2017-08-21 Last updated: 2018-01-13Bibliographically approved
2. 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
Keyword
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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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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Output format
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