Change search
Link to record
Permanent link

Direct link
BETA
Blomqvist, Eva
Publications (10 of 17) Show all publications
Blomqvist, E., Sandkuhl, K., Scharffe, F. & Svatek, V. (Eds.). (2009). Proceedings of the Workshop on Ontology Patterns (WOP 2009): at 8th International Semantic Web Conference, Washington D.C., October 25-29, 2009. CEUR-WS.org
Open this publication in new window or tab >>Proceedings of the Workshop on Ontology Patterns (WOP 2009): at 8th International Semantic Web Conference, Washington D.C., October 25-29, 2009
2009 (English)Conference proceedings (editor) (Other (popular science, discussion, etc.))
Abstract [en]

High-quality and reusable ontologies are considered as key element of the Semantic Web and for successful semantic applications. Ontology Design Patterns (ODPs) are addressing these quality and reusability issues by providing different types of patterns supporting ontology designers. ODPs are collected in various repositories, such as the catalogue maintained by the University of Manchester and the ODP portal at small and do not cover all types of patterns and all domains. Semantic Web applications could also benefit from additional types of patterns, such as enterprise model patterns and specialized software patterns for semantic applications.

Patterns are an approach to knowledge reuse that proved feasible and very beneficial in various areas, such as software engineering and data modeling. Reuse has been an important research subject in ontology engineering and the semantic web community for many years. Patterns need to be shared by a community in order to provide a common language and stimulate pattern usage and development. Hence, the aim of this workshop was twofold

- providing an arena for proposing and discussing good practices, patterns, pattern-based ontologies, systems etc

- broadening the pattern community that will develop its own “language” for discussing and describing relevant problems and their solutions.

The workshop included a track for research papers addressing various aspects of ontology patterns and investigating application areas, and a pattern track focusing on presentation and discussion of actual ontology patterns.

Place, publisher, year, edition, pages
CEUR-WS.org, 2009. p. 193
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 516
Keywords
Ontology, Ontology Construction, Ontology Pattern, Semantic Web
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-11783 (URN)
Available from: 2010-03-18 Created: 2010-03-18 Last updated: 2018-01-12Bibliographically approved
Blomqvist, E. (2008). Case-based Reasoning for Ontology Engineering. In: Tenth Scandinavian Conference on Artificial Intelligence - SCAI 2008: (pp. 36-43). Amsterdam: IOS Press
Open this publication in new window or tab >>Case-based Reasoning for Ontology Engineering
2008 (English)In: Tenth Scandinavian Conference on Artificial Intelligence - SCAI 2008, Amsterdam: IOS Press , 2008, p. 36-43Conference paper, Published paper (Refereed)
Abstract [en]

When developing semantic applications, constructing the underlying ontologies is a crucial part. Construction of both Semantic Web and enterprise ontologies need to be semi-automatic in order to reduce the effort required and the need for expert ontology engineers. Another important issue is to introduce knowledge reuse in the ontology construction process. By basing our semi-automatic method on the principles of case-based reasoning (CBR) we envision a novel semi-automatic ontology construction approach and also a novel application of case-based reasoning. The development of OntoCase is still ongoing work, in this paper we report mainly on the motivation for using CBR and the possible benefits of this.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2008
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 173
Keywords
Ontologies
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-5966 (URN)978-1-58603-867-0 (ISBN)
Available from: 2008-09-16 Created: 2008-09-16 Last updated: 2018-01-12Bibliographically approved
Blomqvist, E. & Öhgren, A. (2008). Constructing an enterprise ontology for an automotive supplier. Engineering applications of artificial intelligence, 21(3), 386-397
Open this publication in new window or tab >>Constructing an enterprise ontology for an automotive supplier
2008 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 21, no 3, p. 386-397Article in journal (Refereed) Published
Abstract [en]

This paper presents experiences and conclusions from ontology engineering applied in the automotive suppliers domain. The work focuses on construction of enterprise ontologies to support structuring of enterprise information and knowledge management. Two methods for ontology construction, developed by previous research activities, were used in parallel when developing an ontology for a company in automotive supplier industries. One method is automatic and the other method is a manual approach. A conclusion was that the developed ontologies complemented each other well and therefore the decision was made to merge them for use in the project. The resulting ontology will now be used in several pilot applications.

Place, publisher, year, edition, pages
Elsevier Ltd, 2008
Keywords
automotive industry
National Category
Computer Sciences Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-6614 (URN)
Available from: 2008-10-23 Created: 2008-10-23 Last updated: 2018-01-13Bibliographically approved
Ricklefs, M. & Blomqvist, E. (2008). Ontology-based relevance assessment: An evaluation of different semantic similarity measures. In: Proceedings of OTM 2008 - OTM Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008: (pp. 1235-1252). Berlin: Springer
Open this publication in new window or tab >>Ontology-based relevance assessment: An evaluation of different semantic similarity measures
2008 (English)In: Proceedings of OTM 2008 - OTM Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008, Berlin: Springer , 2008, p. 1235-1252Conference paper, Published paper (Refereed)
Abstract [en]

Ontology-based relevance assessment of documents is an importanttask. When viewing this in a business context, approaches arecommonly based on the use of one ontology describing the enterprise. Amore specific problem is then how to assess the relevance of a set of ontologyconcepts with respect to a user profile expressed within the sameontology. Semantic similarity measures have been widely used and describedin literature, but few experiments have been performed to showthe benefits and drawbacks of certain measures. In this paper we describehow a set of measures have been combined, tested, and evaluated. Theevaluation was performed through a rank correlation coefficient comparingthe measured results with a manually constructed “gold standard”.Conclusions are that certain combinations of measures seem less suitablefor solving this type of problem. On the other hand a set of combinationsperform quite well, although the detailed performance of most combinedmeasures seem to depend heavily on the structure of the ontology used.

Place, publisher, year, edition, pages
Berlin: Springer, 2008
Series
Lecture Notes In Computer Science, ISSN 1611-3349 ; 5332
Keywords
Ontology
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-6864 (URN)10.1007/978-3-540-88873-4 (DOI)978-3-540-88872-7 (ISBN)
Available from: 2008-12-02 Created: 2008-12-02 Last updated: 2018-01-13Bibliographically approved
Blomqvist, E. (2008). Pattern Ranking for Semi-automatic Ontology Construction. In: Proceedings of the 2008 ACM symposium on Applied computing: Track on Semantic Web and Applications (SWA) (pp. 2248-).
Open this publication in new window or tab >>Pattern Ranking for Semi-automatic Ontology Construction
2008 (English)In: Proceedings of the 2008 ACM symposium on Applied computing: Track on Semantic Web and Applications (SWA), 2008, p. 2248-Conference paper, Published paper (Refereed)
Abstract [en]

When developing semantic applications, the construction

of ontologies is a crucial part. We are developing a semiautomatic

ontology construction approach, OntoCase, relying

on ontology patterns as additional resources. A crucial

part of this approach is how to select the appropriate patterns

based on the input representation extracted from a

text corpus. In this paper, we suggest a pattern ranking

and selection approach with the ability to partially bridge

the gap between abstract patterns and specific terms, as well

as being specifically tuned to the characteristics of ontology

patterns. Compared to existing ontology ranking schemes

our approach adds indirect matching of terms as well as relation

matching. An initial experiment indicates that Onto-

Case ranking performs better, especially when ranking small

and abstract patterns, than existing ranking approaches.

Keywords
Ontologies, Ontology Pattern
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-5965 (URN)978-1-59593-753-7 (ISBN)
Available from: 2008-09-16 Created: 2008-09-16 Last updated: 2018-01-12Bibliographically approved
Albertsen, T. & Blomqvist, E. (2007). Describing Ontology Applications. In: Proceedings of the 4th Annual European Semantic Web Conference (ESWC 2007).
Open this publication in new window or tab >>Describing Ontology Applications
2007 (English)In: Proceedings of the 4th Annual European Semantic Web Conference (ESWC 2007), 2007Conference paper, Published paper (Refereed)
Abstract [en]

Semantic Web technologies are finally, after a few years of infancy, truly entering the business world to support the growing needs of computer aided information selection and processing. There are already quite well-defined development processes and methods in the software engineering field to handle the construction of large scale and complex enterprise systems, and to reuse knowledge in different software domains patterns are considered to be common practise. Patterns can be described on different levels of abstraction, but the patterns in the focus of this paper are on the software architecture level. In this paper we present a definition of the notion ”ontology application pattern”, as a special form of software architecture patterns describing an ontology-based system. We also show how such patterns, as well as the description of the pattern instantiations, can be described using a modified architecture description language.

Keywords
Ontologies, Ontology Applications, Architecture Patterns, Architecture Description Language
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-3050 (URN)
Available from: 2007-08-02 Created: 2007-08-02 Last updated: 2018-01-12
Blomqvist, E. (2007). OntoCase - A Pattern-based Ontology Construction Approach. In: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007.
Open this publication in new window or tab >>OntoCase - A Pattern-based Ontology Construction Approach
2007 (English)In: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007, 2007Conference paper, Published paper (Refereed)
Keywords
Ontology Engineering, Ontology Learning, Knwoledge Acquisition, Ontology Pattern
National Category
Computer Sciences Information Systems
Identifiers
urn:nbn:se:hj:diva-3510 (URN)
Available from: 2007-09-24 Created: 2007-09-24 Last updated: 2018-01-12
Billig, A., Blomqvist, E. & Lin, F. (2007). Semantic Matching based on Enterprise Ontologies. In: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007.
Open this publication in new window or tab >>Semantic Matching based on Enterprise Ontologies
2007 (English)In: Proccedings of OTM 2007: ODBASE - The 6th International Conference on Ontologies, DataBases, and Applications of Semantics, Vilamoura, Algarve, Portugal, November 25-30, 2007, 2007Conference paper, Published paper (Refereed)
Keywords
Semantic Matching, Semantic Similarity
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-3511 (URN)
Available from: 2007-09-24 Created: 2007-09-24 Last updated: 2018-01-12
Blomqvist, E. (2007). Semi-automatic Ontology Engineering using Patterns. In: Proceedings of ISWC07 Doctoral Consortium, Busan, Korea, November 11-15, 2007.
Open this publication in new window or tab >>Semi-automatic Ontology Engineering using Patterns
2007 (English)In: Proceedings of ISWC07 Doctoral Consortium, Busan, Korea, November 11-15, 2007, 2007Conference paper, Published paper (Refereed)
Keywords
Ontology Engineering, Ontology Learning, Ontology Pattern
National Category
Computer Sciences
Identifiers
urn:nbn:se:hj:diva-3512 (URN)
Available from: 2007-09-24 Created: 2007-09-24 Last updated: 2018-01-12
Blomqvist, E. & Öhgren, A. (2006). Constructing an Enterprise Ontology for an Automotive Supplier. In: Proceedings of 12th IFAC Symposium on Information Control Problems in Manufacturing, Saint-Etienne, France, May 2006.
Open this publication in new window or tab >>Constructing an Enterprise Ontology for an Automotive Supplier
2006 (English)In: Proceedings of 12th IFAC Symposium on Information Control Problems in Manufacturing, Saint-Etienne, France, May 2006, 2006Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents experiences and conclusions from ontology engineering applied in the automotive suppliers domain. The work focuses on construction of enterprise ontologies to support structuring of enterprise information and knowledge management. Two methods for ontology construction, developed by previous research activities, were used in parallel when developing an ontology for a company in automotive supplier industries. One method is automatic and the other method is a manual approach. A conclusion was that the developed ontologies complemented each other well and therefore the decision was made to combine them for use in the project. The resulting ontology will now be used in the coming development of a pilot application.

Keywords
Knowledge engineering, Modelling, Methodology, Automobile industry
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:hj:diva-2644 (URN)0-08-044654-X (ISBN)
Available from: 2007-08-02 Created: 2007-08-02 Last updated: 2018-01-12
Organisations

Search in DiVA

Show all publications