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  • 1.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Levashova, Tatiana
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Smirnov, Alexander
    Formation of Enterprise Networks for Collaborative Engineering2005In: Post-conference proceedings of 3rd International Workshop on Collaborative Engineering, Sopron (Hungary), 2005Conference paper (Refereed)
  • 2.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Levashova, Tatiana
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Smirnov, Alexander
    Tarasov, Vladimir
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Configuration of Dynamic SME Supply Chains Based on Ontologies2005In: Holonic and Multi-Agent Systems for Manufacturing: Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005. Proceedings / [ed] V. Marik, R. W. Brennan & M. Pechoucek, Springer Berlin/Heidelberg, 2005, p. 246-256Conference paper (Refereed)
    Abstract [en]

    Due to the increasing implementation of agile and networked manufacturing, supply chain has entered a new phase, virtual supply chain. The phase is characterized by the integration of activities, operations, and functions carried out at different and geographically distributed supply chain stages. The paper proposes an approach to the configuration of a network of small and medium-sized enterprises (SMEs) being integrated into a supply chain. The SME supply chain configuration is based on a shared domain ontology for supply chain management, offering the configuration task as a function of supply chain management. Principles of the development of the shared ontology and possible ways of matching between enterprise and domain ontologies are considered.

  • 3.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Constructing an Enterprise Ontology for an Automotive Supplier2006In: Proceedings of 12th IFAC Symposium on Information Control Problems in Manufacturing, Saint-Etienne, France, May 2006, 2006Conference 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.

  • 4.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Constructing an enterprise ontology for an automotive supplier2008In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 21, no 3, p. 386-397Article in journal (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 merge them for use in the project. The resulting ontology will now be used in several pilot applications.

  • 5.
    Blomqvist, Eva
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ontology Construction in an Enterprise context: Comparing and Evaluating two Approaches2006In: Proceedings of 8th International Conference on Enterprise Information Systems, Paphos, Cyprus, May 2006, 2006, p. 8-Conference paper (Refereed)
    Abstract [en]

    Structuring enterprise information and supporting knowledge management is a growing application field for enterprise ontologies. Research work presented in this paper focuses on construction of enterprise ontologies. In an experiment, two methods were used in parallel when developing an ontology for a company in automotive supplier industries. One method is based on automatic ontology construction, the other method is a manual approach based on cookbook-like instructions. The paper compares and evaluates the methods and their results. For ontology evaluation, selected approaches were combined including both evaluation by ontology engineers and evaluation by domain experts. The main conclusion is that the compared methods have different strengths and an integration of both developed ontologies and used methods should be investigated.

  • 6.
    Sandkuhl, Kurt
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Smirnov, Alexander
    Shilov, Nikolay
    Kashevnik, Alexey
    Ontology Construction in Practice: Experiences and Recommendations from Industrial Cases2007In: 9th International Conference on Enterprise Information Systems, 12-16, June 2007, Funchal, Madeira – Portugal, 2007Conference paper (Other (popular science, discussion, etc.))
  • 7.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Developing an Ontology for Wood-related Industry: An Experience Report2004Report (Other academic)
    Abstract [en]

    Ontologies are widely used as a technique for representation and reuse of knowledge. This paper summarizes experiences and results of a project within ontology development, with wood-related industry as application sector. One major aspect of the project was the selection of a suitable methodology for ontology development. In a literature study existing methodologies were analyzed with respect to their suitability for small-scale application contexts. As no existing methodology was fully adequate, an improved methodology was proposed. The main intention was to reduce development time and effort to meet the demands of small-scale application contexts. The improved methodology was applied and evaluated in the project, i.e. in the development of an ontology for wood-related industry. The main conclusion is that the methodology was adequate for the project, but some aspects could be elaborated and further investigated, such as reuse of already existing ontologies.

  • 8.
    Öhgren, Annika
    Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
    Ontology Development and Evolution: Selected Approaches for Small-Scale Application Contexts2004Report (Other academic)
    Abstract [en]

    This report presents a literature study concerning three areas, Ontology Development Methodologies, Ontology Evolution, and Ontologies in Small and Medium-Sized Enterprises. The objectives were to find out and summarize what has been done so far in the different areas, as well as to find out what has not yet been done, and thereby discover new possible research areas. Ontologies are widely used as a technique for representation and reuse of knowledge. We believe that ontologies can be used in small and medium-sized enterprises and help companies by supporting knowledge sharing, reuse of knowledge, inter-operability, and much more. The main conclusion is that a lot of work has been put into Ontology Development, many methodologies are very mature and have been used in practice. Still, not all of them cover the aspects we are interested in, e.g. reuse of already existing ontologies and covering the whole life cycle. In Ontology Evolution, the main focus is on keeping an ontology and its dependents consistent, and it does not concern when to make changes, or what to actually change. Ontology use in small and medium-sized enterprises is not so common, but some experiences exist.

  • 9.
    Öhgren, Annika
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Do SME Need Ontologies?: Results from a Survey among Small and Medium-sized Enterprises2008In: Proceedings of the 10th International Conference on Enterprise Information Systems - ICEIS 2008, 2008Conference paper (Refereed)
    Abstract [en]

    During the last years, an increasing number of successful cases of using ontologies in industrial application scenarios have been reported, the majority of these cases stem from large enterprises. The intention of this paper is to contribute to an understanding of potentials and limits of ontology-based solutions in small and medium-sized enterprises (SME). The focus is on identifying application areas for ontologies, which motivate the development of specialised ontology construction methods. The paper is based on results from a survey performed among 113 SME in Sweden, most of them from manufacturing industries. The results of the survey indicate a need from SME in three application areas: (1) management of product configuration and variability, (2) information search and retrieval, and (3) management of project documents.

  • 10.
    Öhgren, Annika
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Information Overload in Industrial Enterprises - Results of an Empirical Investigation2008In: Proceedings of the 2nd European Conference on Information Management and Evaluation, Reading: Academic Publishing Limited , 2008, p. 343-350Conference paper (Refereed)
    Abstract [en]

    The work presented is part of the research field information logistics, which investigates and develops concepts and technologies for improving information flow in organisations. The intention of this paper is to contribute to an understanding of information management problems in enterprises, and also improvement potentials of current information systems. The paper presents results of a study focusing on information overload in industrial enterprises, an area that previously has attracted little academic attention. Two areas are investigated: is information overload perceived as a problem in enterprises, and which application areas of enterprise information management should be prioritised for improvement activities? The survey was sent to 436 enterprises in the South of Sweden, most of them small and medium-sized enterprises, and received 164 valid responses. The sample used for the paper includes industrial enterprises from manufacturing, construction, and electronics industries, which accounts for approximately 80% of the responses.When analysing the data from the study, the paper follows the opinion of various scholars in the field that the complexity of an application case is an essential parameter to take into account when deciding on improvement potential. The more complex the application scenario is, the more likely is the usefulness of IT solutions for improving information flow. Research on complexity of projects proposes to define complexity as “consisting of many varied interrelated parts”, to distinguish between organisational and technological complexity, and to operationalise this in terms of “differentiation and interdependence”.One result of the study is a clear indication that information overload is perceived as a problem in industrial enterprises, which surfaces in problems such as finding the right information needed for a work task, and in the time needed to structure and store information. Furthermore, the results indicate two application areas that offer improvement potential: information management with focus on search and retrieval, and management of product information.

  • 11.
    Öhgren, Annika
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Towards a Methodology for Ontology Development in Small and Medium-Sized Enterprises2005In: IADIS Conference on Applied Computing, Algarve, Portugal, February 2005., 2005Conference paper (Other (popular science, discussion, etc.))
1 - 11 of 11
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  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • en-GB
  • en-US
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