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Ivanova, Valentina
Publications (10 of 24) Show all publications
Pesquita, C., Ivanova, V., Lohmann, S. & Lambrix, P. (2018). A Framework to Conduct and Report on Empirical User Studies in Semantic Web Contexts. In: Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint (Ed.), Knowledge Engineering and Knowledge Management 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings: . Paper presented at 21st International Conference on Knowledge Engineering and Knowledge Management (pp. 567-583).
Open this publication in new window or tab >>A Framework to Conduct and Report on Empirical User Studies in Semantic Web Contexts
2018 (English)In: Knowledge Engineering and Knowledge Management 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings / [ed] Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint, 2018, p. 567-583Conference paper, Published paper (Refereed)
Abstract [en]

Semantic Web technologies are being applied to increasingly diverse areas where user involvement is crucial. While a number of user interfaces for Semantic Web systems have become available in the past years, their evaluation and reporting often still suffer from weaknesses. Empirical evaluations are essential to compare different approaches, demonstrate their benefits and reveal their drawbacks, and thus to facilitate further adoption of Semantic Web technologies. In this paper, we review empirical user studies of user interfaces, visualizations and interaction techniques recently published at relevant Semantic Web venues, assessing both the user studies themselves and their reporting. We then chart the design space of available methods for user studies in Semantic Web contexts. Finally, we propose a framework for their comprehensive reporting, taking into consideration user expertise, experimental setup, task design, experimental procedures and results analysis.

Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11313
National Category
Computer Sciences Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-152578 (URN)10.1007/978-3-030-03667-6_36 (DOI)
Conference
21st International Conference on Knowledge Engineering and Knowledge Management
Funder
Swedish e‐Science Research Center
Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2018-11-21
Alirezaie, M., Hammar, K., Blomqvist, E., Nyström, M. & Ivanova, V. (2018). SmartEnv Ontology in E-care@home. In: Maxime Lefrançois, Raúl Garcia Castro, Amélie Gyrard, Kerry Taylor (Ed.), SSN 2018 - Semantic Sensor Networks Workshop: Proceedings of the 9th International Semantic Sensor Networks Workshopco-located with 17th International Semantic Web Conference (ISWC 2018). Paper presented at 9th International Semantic Sensor Networks Workshop, Monterey, CA, United States, October 9, 2018 (pp. 72-79). CEUR-WS, 2213
Open this publication in new window or tab >>SmartEnv Ontology in E-care@home
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2018 (English)In: SSN 2018 - Semantic Sensor Networks Workshop: Proceedings of the 9th International Semantic Sensor Networks Workshopco-located with 17th International Semantic Web Conference (ISWC 2018) / [ed] Maxime Lefrançois, Raúl Garcia Castro, Amélie Gyrard, Kerry Taylor, CEUR-WS , 2018, Vol. 2213, p. 72-79Conference paper, Published paper (Refereed)
Abstract [en]

In this position paper we briefly introduce SmartEnv ontology which relies on SEmantic Sensor Network (SSN) ontology and is used to represent different aspects of smart and sensorized environments. We will also talk about E-carehome project aiming at providing an IoT-based health-care system for elderly people at their homes. Furthermore, we refer to the role of SmartEnv in Ecarehome and how it needs to be further extended to achieve semantic interoperability as one of the challenges in development of autonomous health care systems at home.

Place, publisher, year, edition, pages
CEUR-WS, 2018
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2213
Keywords
SmartEnv Ontology, E-Health, Semantic Interoperability
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-152707 (URN)2-s2.0-85054531286 (Scopus ID)
Conference
9th International Semantic Sensor Networks Workshop, Monterey, CA, United States, October 9, 2018
Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2018-11-15Bibliographically approved
Ivanova, V., Bach, B., Pietriga, E. & Lambrix, P. (2017). Alignment Cubes: Towards Interactive Visual Exploration and Evaluation of Multiple Ontology Alignments. In: Claudia d'Amato, Miriam Fernandez, Valentina A. M. Tamma, Freddy Lecue, Philippe Cudre-Mauroux, Juan F. Sequeda, Christoph Lange and Jeff Heflin (Ed.), Claudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange and Jeff Heflin (Ed.), The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I: . Paper presented at The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017 (pp. 400-417). Cham, Switzerland: Springer Publishing Company, 10587
Open this publication in new window or tab >>Alignment Cubes: Towards Interactive Visual Exploration and Evaluation of Multiple Ontology Alignments
2017 (English)In: The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I / [ed] Claudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange and Jeff Heflin, Cham, Switzerland: Springer Publishing Company, 2017, Vol. 10587, p. 400-417Conference paper, Published paper (Refereed)
Abstract [en]

Ontology alignment is an area of active research where many algorithms and approaches are being developed. Their performance is usually evaluated by comparing the produced alignments to a reference alignment in terms of precision, recall and F-measure. These measures, however, only provide an overall assessment of the quality of the alignments, but do not reveal differences and commonalities between alignments at a finer-grained level such as, e.g., regions or individual mappings. Furthermore, reference alignments are often unavailable, which makes the comparative exploration of alignments at different levels of granularity even more important. Making such comparisons efficient calls for a “human-in-the-loop” approach, best supported through interactive visual representations of alignments. Our approach extends a recent tool, Matrix Cubes, used for visualizing dense dynamic networks. We first identify use cases for ontology alignment evaluation that can benefit from interactive visualization, and then detail how our Alignment Cubes support interactive exploration of multiple ontology alignments. We demonstrate the usefulness of Alignment Cubes by describing visual exploration scenarios, showing how Alignment Cubes support common tasks identified in the use cases.

Place, publisher, year, edition, pages
Cham, Switzerland: Springer Publishing Company, 2017
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10587
Series
Information Systems and Applications, incl. Internet/Web, and HCI ; 10587
Keywords
Ontology alignment evaluation, Visual exploration, Multiple alignment comparison
National Category
Computer Sciences Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-141986 (URN)10.1007/978-3-319-68288-4_24 (DOI)9783319682877 (ISBN)9783319682884 (ISBN)9783319682884 (ISBN)
Conference
The Semantic Web – ISWC 2017 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017
Funder
Swedish e‐Science Research CenterCUGS (National Graduate School in Computer Science)EU, FP7, Seventh Framework Programme, P7-IP-608142
Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2018-11-27Bibliographically approved
Ivanova, V. (2017). Fostering User Involvement in Ontology Alignment and Alignment Evaluation. (Doctoral dissertation). Linköping: Linköping University Electronic Press
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
Ivanova, V., Kauppinen, T., Lohmann, S., Mazumdar, S., Pesquita, C. & Xu, K. (2015). Introduction to VISUAL 2014 - Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics. In: Lambrix, Hyvönen, Blomqvist, Presutti, Qi, Sattler, Ding, Ghidini (Ed.), Lambrix, Hyvönen, Blomqvist, Presutti, Qi, Sattler, Ding, Ghidini (Ed.), Knowledge Engineering and Knowledge Management: EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic. Revised Selected Papers.. Paper presented at International Conference on Knowledge Engineering and Knowledge Management (pp. 80-82). Switzerland: Springer Science+Business Media B.V.
Open this publication in new window or tab >>Introduction to VISUAL 2014 - Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics
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2015 (English)In: Knowledge Engineering and Knowledge Management: EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic. Revised Selected Papers. / [ed] Lambrix, Hyvönen, Blomqvist, Presutti, Qi, Sattler, Ding, Ghidini, Switzerland: Springer Science+Business Media B.V., 2015, p. 80-82Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Switzerland: Springer Science+Business Media B.V., 2015
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8982
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-117409 (URN)10.1007/978-3-319-17966-7_8 (DOI)000368372800008 ()
Conference
International Conference on Knowledge Engineering and Knowledge Management
Available from: 2015-04-24 Created: 2015-04-24 Last updated: 2018-07-17
Ivanova, V., Lambrix, P. & Åberg, J. (2015). Requirements for and Evaluation of User Support for Large-Scale Ontology Alignment. In: The Semantic Web. Latest Advances and New Domains: 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 -- June 4, 2015. Proceedings. Paper presented at European Semantic Web Conference (pp. 3-20). Springer Science+Business Media B.V.
Open this publication in new window or tab >>Requirements for and Evaluation of User Support for Large-Scale Ontology Alignment
2015 (English)In: The Semantic Web. Latest Advances and New Domains: 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 -- June 4, 2015. Proceedings, Springer Science+Business Media B.V., 2015, p. 3-20Conference paper, Published paper (Refereed)
Abstract [en]

Currently one of the challenges for the ontology alignment community is the user involvement in the alignment process. At the same time, the focus of the community has shifted towards large-scale matching which introduces an additional dimension to this issue. This paper aims to provide a set of requirements that foster the user involvement for large-scale ontology alignment tasks.Further, we present and discuss the results of a literature study for 7 ontology alignments systems as well as a heuristic evaluation and an observational user study for 3 ontology alignment systems to reveal the coverage of the requirements in the systems and the support for the requirements in the user interfaces.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2015
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 9088
Keywords
knowledge representation, ontologies, ontology alignment, user interfaces
National Category
Computer Sciences Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-118273 (URN)10.1007/978-3-319-18818-8_1 (DOI)000362439200001 ()978-3-319-18817-1 (ISBN)978-3-319-18818-8 (ISBN)
Conference
European Semantic Web Conference
Funder
CUGS (National Graduate School in Computer Science)Swedish e‐Science Research Center
Available from: 2015-05-25 Created: 2015-05-25 Last updated: 2018-07-17Bibliographically approved
Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., . . . Zamazal, O. (2015). Results of the Ontology Alignment Evaluation Initiative 2015. In: Ontology Matching: . Paper presented at Ontology Matching (pp. 60-115).
Open this publication in new window or tab >>Results of the Ontology Alignment Evaluation Initiative 2015
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2015 (English)In: Ontology Matching, 2015, p. 60-115Conference paper, Published paper (Refereed)
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1545
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-123885 (URN)
Conference
Ontology Matching
Available from: 2016-01-12 Created: 2016-01-12 Last updated: 2018-07-17
Ivanova, V., Lambrix, P., Lohmann, S. & Pesquita, C. (Eds.). (2015). VOILA 2015 Visualizations and User Interfaces for Ontologies and Linked Data: Proceedings of the International Workshop on Visualizations and User Interfaces for Ontologies and Linked Data. Paper presented at International Workshop on Visualizations and User Interfaces for Ontologies and Linked Bethlehem, Pennsylvania, USA, October 11, 2015. Rheinisch-Westfaelische Technische Hochschule Aachen University
Open this publication in new window or tab >>VOILA 2015 Visualizations and User Interfaces for Ontologies and Linked Data: Proceedings of the International Workshop on Visualizations and User Interfaces for Ontologies and Linked Data
2015 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

A picture is worth a thousand words, we often say, yet many areas are in demand of sophisticated visualization techniques, and the Semantic Web is not an exception. The size and complexity of ontologies and Linked Data in the Semantic Web constantly grow and the diverse backgrounds of the users and application areas multiply at the same time. Providing users with visual representations and intuitive user interfaces can significantly aid the understanding of the domains and knowledge represented by ontologies and Linked Data. There is noone size fits all solution but different use cases demand different visualization and interaction techniques. Ultimately, providing better user interfaces and visual representations will foster user engagement and likely lead to higher quality results in different applications employing ontologies and to the proliferation of Linked Data usage.

User interfaces are essential to easily provide access to the increasing diversity of knowledge modeled in ontologies. As ontologies grow in size and complexity, the demand for comprehensive visualization and sophisticated interaction also rises. In particular, user interfaces are an integral part of ontology engineering, to help bridge the gap between domain experts and ontology engineers. Ontology visualization is not a new topic and a number of approaches have become available in recent years, with some being already well-established, particularly in the field of ontology modeling. In other areas of ontology engineering, such as ontology alignment and debugging, although several tools have recently been  developed, few provide a graphical user interface, not to mention navigational aids or comprehensive visualization techniques.

While ontology users usually possess domain and/or knowledge representation expertise, this is not necessarily the case with potential Linked Data consumers who can come from very different backgrounds and have varying levels of expertise. Currently, the main Linked Data consumers are technology experienced users, one of the reasons being the lack of appropriate user interfaces and visualizations to support other user groups. Visual approaches are needed to assist various kinds of users, who pursue diverse goals and pose individual requirements.

In the presence of a huge network of interconnected resources, one of the challenges faced by the Linked Data community is the visualization of the multidimensional datasets to provide for efficient overview, exploration and querying tasks, to mention just a few. With the focus shifting from a Web of Documents to a Web of Data, changes in the interaction paradigms are in demand as well. Novel approaches also need to take into consideration the technological challenges and opportunities given by new interaction contexts, ranging from mobile and touch interaction to visualizations on large displays, and encompassing highly responsive web applications.

The VOILA! workshop addressed these and related issues in its call for papers and attracted 18 submissions in different paper categories. Three reviewers were assigned to each submission. Based on their reviews we selected 12 contributions for presentation at the workshop in the following categories: full research papers (5), position papers (2) and short papers (5).

The first edition of VOILA! is co-located with the 14th International Semantic Web Conference (ISWC 2015) and will take place as a full day event on October 11, 2015 in Bethlehem, Pennsylvania, USA. It will be organized around paper presentations and discussions and will be accompanied by interactive software demonstrations, giving developers a chance to gather feedback from the community.

We thank all authors for their submissions and all members of the VOILA! program committee for their useful reviews and comments. We are grateful to Miriam Fernandez and Krzysztof Janowicz, the ISWC workshop chairs, for their continuous support during theworkshop organization. The workshop would not be possible without all of you!

September 2015

Valentina Ivanova, Patrick Lambrix, Steffen Lohmann, Catia Pesquita

Place, publisher, year, edition, pages
Rheinisch-Westfaelische Technische Hochschule Aachen University, 2015. p. 108
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1456
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-121579 (URN)
Conference
International Workshop on Visualizations and User Interfaces for Ontologies and Linked Bethlehem, Pennsylvania, USA, October 11, 2015
Available from: 2015-09-25 Created: 2015-09-25 Last updated: 2018-01-11Bibliographically approved
Ivanova, V. (2014). Integration of Ontology Alignment and Ontology Debugging for Taxonomy Networks. (Licentiate dissertation). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Integration of Ontology Alignment and Ontology Debugging for Taxonomy Networks
2014 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Semantically-enabled applications, such as ontology-based search and data integration, take into account the semantics of the input data in their algorithms. Such applications often use ontologies, which model the application domains in question, as well as alignments, which provide information about the relationships between the terms in the different ontologies.

The quality and reliability of the results of such applications depend directly on the correctness and completeness of the ontologies and alignments they utilize. Traditionally, ontology debugging discovers defects in ontologies and alignments and provides means for improving their correctness and completeness, while ontology alignment establishes the relationships between the terms in the different ontologies, thus addressing completeness of alignments.

This thesis focuses on the integration of ontology alignment and debugging for taxonomy networks which are formed by taxonomies, the most widely used kind of ontologies, connected through alignments.

The contributions of this thesis include the following. To the best of our knowledge, we have developed the first approach and framework that integrate ontology alignment and debugging, and allow debugging of modelling defects both in the structure of the taxonomies as well as in their alignments. As debugging modelling defects requires domain knowledge, we have developed algorithms that employ the domain knowledge intrinsic to the network to detect and repair modelling defects.

Further, a system has been implemented and several experiments with real-world ontologies have been performed in order to demonstrate the advantages of our integrated ontology alignment and debugging approach. For instance, in one of the experiments with the well-known ontologies and alignment from the Anatomy track in Ontology Alignment Evaluation Initiative 2010, 203 modelling defects (concerning incomplete and incorrect information) were discovered and repaired.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2014. p. 106
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1644
Keywords
ontology, ontology engineering, ontology alignment, ontology debugging
National Category
Computer Systems
Identifiers
urn:nbn:se:liu:diva-102953 (URN)10.3384/lic-diva-102953 (DOI)978-91-7519-417-2 (ISBN)
Presentation
2014-03-07, Alan Turing, Hus E, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Opponent
Supervisors
Funder
Swedish Research CouncilSwedish e‐Science Research Center
Available from: 2014-02-03 Created: 2014-01-08 Last updated: 2017-08-15Bibliographically approved
Ivanova, V., Kauppinen, T., Lohmann, S., Mazumdar, S., Pesquita, C. & Xu, K. (Eds.). (2014). Proceedings of the International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics. Paper presented at International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics. Aachen, Germany: CEUR Workshop Proceedings
Open this publication in new window or tab >>Proceedings of the International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics
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2014 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Aachen, Germany: CEUR Workshop Proceedings, 2014
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1299
Keywords
knowledge engineering; linked data analytics, visualization, user interface
National Category
Computer Sciences Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-112346 (URN)
Conference
International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics
Available from: 2014-11-24 Created: 2014-11-24 Last updated: 2018-01-11
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