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Publications (10 of 33) Show all publications
Shimizu, C. & Hammar, K. (2019). CoModIDE – The Comprehensive Modular Ontology Engineering IDE. In: Mari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, Abraham Bernstein (Ed.), CEUR Workshop Proceedings: . Paper presented at ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26-30, 2019.. CEUR-WS, 2456
Open this publication in new window or tab >>CoModIDE – The Comprehensive Modular Ontology Engineering IDE
2019 (English)In: CEUR Workshop Proceedings / [ed] Mari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, Abraham Bernstein, CEUR-WS , 2019, Vol. 2456Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
CEUR-WS, 2019
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-46397 (URN)
Conference
ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26-30, 2019.
Available from: 2019-09-30 Created: 2019-09-30 Last updated: 2019-09-30Bibliographically approved
Dórea, F. C., Vial, F., Hammar, K., Lindberg, A., Lambrix, P., Blomqvist, E. & Revie, C. W. (2019). Drivers for the development of an Animal Health Surveillance Ontology (AHSO). Preventive Veterinary Medicine, 166, 39-48
Open this publication in new window or tab >>Drivers for the development of an Animal Health Surveillance Ontology (AHSO)
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2019 (English)In: Preventive Veterinary Medicine, ISSN 0167-5877, E-ISSN 1873-1716, Vol. 166, p. 39-48Article in journal (Refereed) Published
Abstract [en]

Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to integration and interoperability among systems when data emerge from different sources. Discussions with syndromic surveillance experts in the fields of animal and public health, as well as computer scientists from the field of information management, have led to the conclusion that a major component of any solution will involve the adoption of ontologies. Here we describe the advantages of such an approach, and the steps taken to set up the Animal Health Surveillance Ontological (AHSO) framework. The AHSO framework is modelled in OWL, the W3C standard Semantic Web language for representing rich and complex knowledge. We illustrate how the framework can incorporate knowledge directly from domain experts or from data-driven sources, as well as by integrating existing mature ontological components from related disciplines. The development and extent of AHSO will be community driven and the final products in the framework will be open-access.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
syndromic surveillance, classification, vocabulary, terminology standards
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-43339 (URN)10.1016/j.prevetmed.2019.03.002 (DOI)000465055100006 ()30935504 (PubMedID)2-s2.0-85062891881 (Scopus ID)HOA JTH 2019;JTHDatateknikIS (Local ID)HOA JTH 2019;JTHDatateknikIS (Archive number)HOA JTH 2019;JTHDatateknikIS (OAI)
Available from: 2019-03-13 Created: 2019-03-13 Last updated: 2019-08-19Bibliographically approved
Hitzler, P., Fernandez, M., Janowicz, K., Zaveri, A., Gray, A. J., Lopez, V., . . . Hammar, K. (2019). Preface. In: Lecture Notes in Computer Science: Volume 11503, 16th International Semantic Web Conference, ESWC 2019, Portorož, Slovenia, 2 June 2019 through 6 June 2019. Paper presented at 2 June 2019 through 6 June 2019 (pp. v-vii). Paper presented at 2 June 2019 through 6 June 2019. Springer
Open this publication in new window or tab >>Preface
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2019 (English)In: Lecture Notes in Computer Science: Volume 11503, 16th International Semantic Web Conference, ESWC 2019, Portorož, Slovenia, 2 June 2019 through 6 June 2019, Springer, 2019, p. v-viiChapter in book (Other (popular science, discussion, etc.))
Place, publisher, year, edition, pages
Springer, 2019
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, E-ISSN 1611-3349
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-44619 (URN)2-s2.0-85066791354 (Scopus ID)9783030213473 (ISBN)
Conference
2 June 2019 through 6 June 2019
Available from: 2019-06-18 Created: 2019-06-18 Last updated: 2019-06-18Bibliographically approved
Hitzler, P., Fernández, M., Janowicz, K., Zaveri, A., Gray, A. J. .., Lopez, V., . . . Hammar, K. (Eds.). (2019). The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceedings. Paper presented at 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019. Cham: Springer
Open this publication in new window or tab >>The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceedings
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2019 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Cham: Springer, 2019. p. 622
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11503
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-44670 (URN)10.1007/978-3-030-21348-0 (DOI)978-3-030-21347-3 (ISBN)978-3-030-21348-0 (ISBN)
Conference
16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019
Available from: 2019-06-19 Created: 2019-06-19 Last updated: 2019-06-19Bibliographically approved
Alirezaie, M., Hammar, K. & Blomqvist, E. (2018). SmartEnv as a Network of Ontology Patterns. Semantic Web, 9(6), 903-918
Open this publication in new window or tab >>SmartEnv as a Network of Ontology Patterns
2018 (English)In: Semantic Web, ISSN 1570-0844, E-ISSN 2210-4968, Vol. 9, no 6, p. 903-918Article in journal (Refereed) Published
Abstract [en]

In this article we outline the details of an ontology, called SmartEnv, proposed as a representational model to assist the development process of smart (i.e., sensorized) environments. The SmartEnv ontology is described in terms of its modules representing different aspects including physical and conceptual aspects of a smart environment. We propose the use of the Ontology Design Pattern (ODP) paradigm in order to modularize our proposed solution, while at the same time avoiding strong dependencies between the modules in order to manage the representational complexity of the ontology. The ODP paradigm and related methodologies enable incremental construction of ontologies by first creating and then linking small modules. Most modules (patterns) of the SmartEnv ontology are inspired by, and aligned with, the Semantic Sensor Network (SSN) ontology, however with extra interlinks to provide further precision and cover more representational aspects. The result is a network of 8 ontology patterns together forming a generic representation for a smart environment. The patterns have been submitted to the ODP portal and are available on-line at stable URIs.

Place, publisher, year, edition, pages
IOS Press, 2018
Keywords
Smart environments, ontology design pattern, semantic sensor network
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-41288 (URN)10.3233/SW-180303 (DOI)000444433900008 ()2-s2.0-85050478389 (Scopus ID)
Funder
Knowledge Foundation
Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2019-06-12Bibliographically approved
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:hj:diva-41799 (URN)2-s2.0-85054531286 (Scopus ID)
Conference
9th International Semantic Sensor Networks Workshop, Monterey, CA, United States, October 9, 2018
Available from: 2018-10-10 Created: 2018-10-10 Last updated: 2019-06-12Bibliographically approved
Skjæveland, M. G., Hu, Y., Hammar, K., Svátek, V. & Ławrynowicz, A. (Eds.). (2018). WOP 2018: Workshop on Ontology Design and Patterns. Paper presented at 9th Workshop on Ontology Design and Patterns (WOP 2018), co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 9th, 2018.. CEUR Workshop Proceedings
Open this publication in new window or tab >>WOP 2018: Workshop on Ontology Design and Patterns
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2018 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
CEUR Workshop Proceedings, 2018. p. 106
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 2195
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-41411 (URN)
Conference
9th Workshop on Ontology Design and Patterns (WOP 2018), co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 9th, 2018.
Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2019-08-22
Hammar, K., Hitzler, P., Krisnadhi, A., Ławrynowicz, A., Nuzzolese, A. G. & Solanki, M. (Eds.). (2017). Advances in Ontology Design and Patterns. Paper presented at 7th Workshop on Ontology and Semantic Web Patterns. IOS Press
Open this publication in new window or tab >>Advances in Ontology Design and Patterns
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2017 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design patterns, knowledge patterns, and linked data patterns: the patterns as they are known by ontology designers, knowledge engineers, and linked data publishers, respectively. A key characteristic of those patterns is that they are modular and reusable solutions to recurrent problems in ontology engineering and linked data publishing.

This book contains recent contributions which advance the state of the art on theory and use of ontology design patterns. The papers collected in this book cover a range of topics, from a method to instantiate content patterns, a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations.

Place, publisher, year, edition, pages
IOS Press, 2017. p. 154
Series
Studies on the Semantic Web, ISSN 1868-1158 ; 32
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-38536 (URN)978-1-61499-825-9 (ISBN)978-1-61499-826-6 (ISBN)
Conference
7th Workshop on Ontology and Semantic Web Patterns
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2019-06-12Bibliographically approved
Hammar, K. (2017). Content Ontology Design Patterns: Qualities, Methods, and Tools. (Doctoral dissertation). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Content Ontology Design Patterns: Qualities, Methods, and Tools
2017 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Ontologies are formal knowledge models that describe concepts and relationships and enable data integration, information search, and reasoning. Ontology Design Patterns (ODPs) are reusable solutions intended to simplify ontology development and support the use of semantic technologies by ontology engineers. ODPs document and package good modelling practices for reuse, ideally enabling inexperienced ontologists to construct high-quality ontologies. Although ODPs are already used for development, there are still remaining challenges that have not been addressed in the literature. These research gaps include a lack of knowledge about (1) which ODP features are important for ontology engineering, (2) less experienced developers' preferences and barriers for employing ODP tooling, and (3) the suitability of the eXtreme Design (XD) ODP usage methodology in non-academic contexts.

This dissertation aims to close these gaps by combining quantitative and qualitative methods, primarily based on five ontology engineering projects involving inexperienced ontologists. A series of ontology engineering workshops and surveys provided data about developer preferences regarding ODP features, ODP usage methodology, and ODP tooling needs. Other data sources are ontologies and ODPs published on the web, which have been studied in detail. To evaluate tooling improvements, experimental approaches provide data from comparison of new tools and techniques against established alternatives.

The analysis of the gathered data resulted in a set of measurable quality indicators that cover aspects of ODP documentation, formal representation or axiomatisation, and usage by ontologists. These indicators highlight quality trade-offs: for instance, between ODP Learnability and Reusability, or between Functional Suitability and Performance Efficiency. Furthermore, the results demonstrate a need for ODP tools that support three novel property specialisation strategies, and highlight the preference of inexperienced developers for template-based ODP instantiation---neither of which are supported in prior tooling. The studies also resulted in improvements to ODP search engines based on ODP-specific attributes. Finally, the analysis shows that XD should include guidance for the developer roles and responsibilities in ontology engineering projects, suggestions on how to reuse existing ontology resources, and approaches for adapting XD to project-specific contexts.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. p. 238
Keywords
Ontology, Ontology Design Pattern, Quality Model, eXtreme Design, XDP, WebProtégé
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-37500 (URN)10.3384/diss.diva-139584 (DOI)9789176854549 (ISBN)
Public defence
2017-09-29, Ada Lovelace, Hus B, Campus Valla, 13:15 (English)
Opponent
Supervisors
Available from: 2017-10-03 Created: 2017-10-02 Last updated: 2019-06-12Bibliographically approved
Karima, N., Hammar, K. & Hitzler, P. (2017). How to Document Ontology Design Patterns. In: Karl Hammar, Pascal Hitzler, Adila Krisnadhi, Agnieszka Ławrynowicz, Andrea Giovanni Nuzzolese, Monika Solanki (Ed.), Advances in Ontology Design and Patterns: . Paper presented at 7th Workshop on Ontology and Semantic Web Patterns. IOS Press
Open this publication in new window or tab >>How to Document Ontology Design Patterns
2017 (English)In: Advances in Ontology Design and Patterns / [ed] Karl Hammar, Pascal Hitzler, Adila Krisnadhi, Agnieszka Ławrynowicz, Andrea Giovanni Nuzzolese, Monika Solanki, IOS Press, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Ontology Design Patterns are reusable building blocks for ontology modelling. As such, Ontology Design Patterns need to be understood by the humans who use them for ontology engineering tasks. In order to make it easier for ontology engineers to understand a previously unknown Ontology Design Pattern, the quality of the documentation of the pattern plays a central role. However, the question how to document Ontology Design Patterns effectively has so far largely been neglected in the research literature. In this paper, we investigate the topic systematically. We discuss the results of three separate surveys to determine the central aspects of good documentation for Ontology Design Patterns. We find that the surveys, which were conducted independently of each other, by two separate groups, essentially agree on the importance of key aspects of documentation.

Place, publisher, year, edition, pages
IOS Press, 2017
Series
Studies on the Semantic Web, ISSN 1868-1158 ; 32
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-38534 (URN)978-1-61499-825-9 (ISBN)
Conference
7th Workshop on Ontology and Semantic Web Patterns
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2019-06-12
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8767-4136

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