Change search
Refine search result
12 51 - 65 of 65
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 51.
    Tarasov, Vladimir
    et al.
    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).
    Johansson, Bengt-Erik
    Umeå Universitet.
    Active learning models and instructional systems2002In: @ – Learning in Higher Education / [ed] F. Buchberger, S. Berghammer & K. Enser, Linz: Trauner Verlag , 2002Chapter in book (Other academic)
    Abstract [en]

    Contemporary society puts forward need for new learning possibilities, which are provided by distance education methods using networked settings. The success of computer-aided instruction is determined by not only involved computer science methods and information technologies but also by deep research into pedagogical methodology. This paper makes an attempt to establish how modern teaching and learning scenarios can be supported by learning technology standards, systems, and specialized computer tools. To give students good learning experience active learning methods ought to be employed in distance education. First, we will consider several learning methods such as case-based learning, team learning/informative testing, learning by designing, discovery learning, and the Jigsaw method. It will allow for determination of what kind of support is needed for students and teachers. Then, we will discuss different learning technology standards, projects and systems to find out what capabilities they provide for the considered methods. Finally, a learning environment architecture will be presented for supporting active learning. The learning environment architecture includes four layers that contain functionality required for active learning. We will dwell upon the functionality and two implementation examples of the environment – PharmaPaC and SwedKid.

  • 52.
    Tarasov, Vladimir
    et al.
    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).
    Krizhanovsky, Andrew
    St.Petersburg Institute for Informatics and Automation RAS.
    Enrichment of Ontology-Based Competence Profiles with Semistructured Wiktionary Data2011In: Perspectives in Business Informatics Research: Local proc. of 10th Int. Conf., BIR 2011. Associated Workshops and Doctoral Consortium / [ed] Laila Niedrite, Renate Strazdina, Benkt Wangler, Riga Technical University , 2011, p. 46-53Conference paper (Refereed)
    Abstract [en]

    Competence supply methods can contribute to information supply solutions by providing information on available competences and making this information accessible to the decision-makers. When competence profiles are stored in a machine-readable form, competence demand can be translated into a formal query to find matching profiles. However, this requires to use exactly the same skill names as the ones from the profile representations. This paper proposes to enrich ontology-based competence profiles with the help of Wiktionary data accessible via a SPARQL endpoint. The endpoint makes it possible to get lexicographic information (definitions, translations, synonyms) from Wiktionary. The procedure of enrichment with synonyms and system architecture supporting it are developed and tested in an experiment with profiles of software developers. The experiment showed the viability of the approach.

  • 53.
    Tarasov, Vladimir
    et al.
    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).
    Lundqvist, Magnus
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Modeling Collaborative Design Competence with Ontologies2007In: International Journal of e-collaboration, ISSN 1548-3673, E-ISSN 1548-3681, Vol. 3, no 4, p. 46-62Article in journal (Refereed)
    Abstract [en]

    Collaborative design in dispersed groups of engineers creates various kinds of challenges to technology, organization and social environment. This paper presents an approach to description and representation of the competences needed for a planned collaborative design project. The most important competence areas are identified starting from the nature of design work, problem solving in design teams, and working in distributed groups. The competence model is built structuring these areas according to three perspectives: general, cultural, and occupational competences. An ontological representation is proposed to implement the described model for collaborative design competence. Using an ontology language for representation of collaborative design competence models makes it possible to identify those individuals who are best suited for the collaboration by ontology matching. Finally, a software design team consisting of two persons was interviewed and two competence profiles were created using the developed ontological representation of the model. The modeling of the team members has proved that the proposed approach can be applied to modeling competences needed for collaborative design in engineering fields.

  • 54.
    Tarasov, Vladimir
    et al.
    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).
    Paulsson, Fredrik
    Umeå Universitet.
    Development of a standard for representation of cases2004In: @ - Learning in Higher Education II / [ed] F. Buchberger & K. Enser, Linz: Trauner Verlag , 2004, p. 81-97Chapter in book (Other academic)
    Abstract [en]

    The goal of learning technology standardisation is to create systematic ways of describing learning material and scenarios. This paper deals with the issue of development of a standard for representation of cases, which are used in case-based learning. The standard is designed for learning technology systems and viewed from the user's perspective. First, IMS QTI was described as an example of standards. Four sample cases were then analysed: one from the PharmaPaC project, two from the SwedKid project, and one from two courses taught at the Department of Interactive Media and Learning. We have proposed a case structure description comprised of parts of a case item, types of case items, different patterns of a case section, and relationship between a case, case section and case item. The developed structure can be used as a basis for elaboration of an informational model of the case standard that may increase the level of case reusability and cooperation between case creators and users. The cases and implications of standards for the users were discussed at an ELHE workshop. The discussion suggested that standards can be a good starting point for creation of learning objects, and the standard for cases can facilitate their use in instruction. Despite there was an opinion that standards could limit creativity of learning objects creators, we believe that the use of standards is not an option but compulsory when learning objects are used. In future work we will develop XML-based notation for description of cases and consider Resource Description Framework to add semantic capabilities. We will also take into consideration standards like IMS Content Packaging and EML (Educational Modelling Language).

  • 55.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. 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).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    On the Role of Competence Models for Business and IT Alignment in Network Organizations2011In: Business Information Systems Workshops: BIS 2011 International Workshops and BPSC International Conference, Poznań, Poland, June 15-17, 2011. Revised Papers / [ed] Witold Abramowicz, Leszek Maciaszek and Krzysztof Węcel, Springer Berlin/Heidelberg, 2011, Vol. 97, p. 208-219Conference paper (Refereed)
    Abstract [en]

    Customer-motivated changes in network organizations lead to alignment of business and IT-infrastructure. This paper investigates the use of competence models in network organizations for more efficient alignment of IT-infrastructure to changed business demands. The paper shows that a competence model is pertinent in a process of aligning an IT-infrastructure to changed business demands. Then, a way is presented of extracting alignment needs from competence information in enterprise models. Finally, our approach for competence profile management is extended with alignment operations. These operations together with other operations on competence profiles form a lifecycle model for competence profile management. Such operationalization allows for support of aligning network organizations to changing business demands.

  • 56.
    Tarasov, Vladimir
    et al.
    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).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Henoch, Bengt
    Using Ontologies for Representation of Individual and Enterprise Competence Models2006In: Proceedings of the 4th IEEE International Conference on Computer Sciences Research, Innovation and Vision for the Future (RIVF 2006): February 12 - 16, 2006, Ho Chi Minh City, Vietnam, Piscataway, NJ.: IEEE Operations Center , 2006, p. 205-212Conference paper (Refereed)
    Abstract [en]

    Awareness of competence and structured competence representations are important elements in different business scenarios such as a company looking for a partner with expertise in a certain industrial sector or new staff member with particular skills. This paper presents the use of ontologies to formally represent competence models describing individual and enterprise competences. The individual competences model includes the three major parts: general competence, cultural competence, and occupational competence. The enterprise competences model consists of two parts: industrial competence and occupational competence. The competence models are defined with a meta-model, the latter being an ontology language. Particular individuals and enterprises are described with competence profiles, which are instances of the models. During a pilot study, five individual competence profiles and four enterprise competence profiles were built. The approach to competence modeling has proved to be able to capture capabilities of individuals with diverse occupational and educational backgrounds. Furthermore, the competence modeling approach proved to be suitable for enterprise competences in different countries due to use of international standard classifications as a basis of the models.

  • 57.
    Tarasov, Vladimir
    et al.
    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).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Lundqvist, Magnus
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Modeling Collaborative Design Competence with Ontologies2010In: Encyclopedia of E-Business Development and Management in the Global Economy / [ed] In Lee, IGI Global , 2010, p. 942-951Chapter in book (Other academic)
    Abstract [en]

    Collaborative design in dispersed groups of engineers creates various kinds of challenges to technology, organization and social environment. Selected examples are knowledge sharing, coordination support or secure tool integration (Jacucci, Pawlak, & Sandkuhl, 2005). Work presented in this chapter is located in the area of formation of teams for collaborative design. The challenge addressed is how to describe and represent the competences needed for a planned collaborative design project in a way that those individuals best suited for the collaboration can be identified. The proposed approach is to apply ontology engineering to modeling competences of individuals, including different competence areas like cultural competences, professional competences or occupational competences.

  • 58.
    Tarasov, Vladimir
    et al.
    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).
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Lundqvist, Magnus
    Jönköping University, School of Engineering, JTH. Research area Information Engineering.
    Ontology-based Competence Model for Collaborative Design2009In: Virtual Team Leadership and Collaborative Engineering Advancements: Contemporary Issues and Implications / [ed] Ned Kock, Hershey: Information Science Reference , 2009, p. 188-202Chapter in book (Other academic)
    Abstract [en]

    Collaborative design in dispersed groups of engineers creates various kinds of challenges to technology, organization and social environment. This paper presents an approach to description and representation of the competences needed for a planned collaborative design project. The most important competence areas are identified starting from the nature of design work, problem solving in design teams, and working in distributed groups. The competence model is built structuring these areas according to three perspectives: general, cultural, and occupational competences. An ontological representation is proposed to implement the described model for collaborative design competence. Using an ontology language for representation of collaborative design competence models makes it possible to identify those individuals who are best suited for the collaboration by ontology matching. Furthermore, a software design team consisting of two persons was interviewed and competence profiles were created using the developed ontological representation. Modeling of the team members has confirmed that the proposed approach can be applied to modeling competences needed for collaborative design in engineering fields.

  • 59.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Seigerroth, Ulf
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics. Jönköping University, Jönköping International Business School, JIBS, Informatics. Jönköping University, Jönköping International Business School, JIBS, Business Administration.
    Sandkuhl, Kurt
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Ontology development strategies in industrial contexts2019In: Business Information Systems Workshops. BIS 2018. / [ed] Abramowicz W., Paschke A., Cham: Springer, 2019, Vol. 339, p. 156-167Conference paper (Refereed)
    Abstract [en]

    Knowledge-based systems are used extensively to support functioning of enterprises. Such systems need to reflect the aligned business-IT view and create shared understanding of the domain. Ontologies are used as part of many knowledge-bases systems. The industrial context affects the process of ontology engineering in terms of business requirements and technical constraints. This paper presents a study of four industrial cases that included ontology development. The study resulted in identification of seven factors that were used to compare the industrial cases. The most influential factors were found to be reuse of ontologies/models, stakeholder groups involved, and level of applicability of ontology. Finally, four recommendation were formulated for projects intended to create shared understanding in an enterprise.

  • 60.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Automation of software testing process using ontologies2019In: Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD / [ed] J. Dietz, D. Aveiro & J. Filipe, SciTePress, 2019, p. 57-66Conference paper (Refereed)
    Abstract [en]

    Testing of a software system is a resource-consuming activity that requires high-level expert knowledge. Methods based on knowledge representation and reasoning can alleviate this problem. This paper presents an approach to enhance the automation of the testing process using ontologies and inference rules. The approach takes software requirements specifications written in structured text documents as input and produces the output, i.e. test scripts. The approach makes use of ontologies to deal with the knowledge embodied in requirements specifications and to represent the desired structure of test cases, as well as makes use of a set of inference rules to represent strategies for deriving test cases. The implementation of the approach, in the context of an industrial case, proves the validity of the overall approach.

  • 61.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Mats, Johansson
    Saab AB, Avisonics.
    Olsson, Daniel
    AddQ AB.
    Ontology-based Software Test Case Generation (OSTAG)2015In: European Projects in Knowledge Applications and Intelligent Systems - Volume 1: EPS Lisbon 2016 / [ed] R. J. Machado, J. Sequeira,H. Plácido da Silva, & J. Filipe, SciTePress, 2015, p. 135-159Conference paper (Refereed)
    Abstract [en]

    Testing is a paramount quality assurance activity in every software developmentproject, especially for embedded, safety critical systems. During thetest process, a lot of effort is put into the generation of test cases. The presentedOSTAG project aimed at developing methods and techniques to automate thesoftware test case generation for black-box testing. The proposed approach wasbased on the creation of a software requirements ontology and the applicationof inference rules on the ontology to derive test cases. The ontology representsknowledge of the requirements, the software system and the corresponding applicationdomain while the inference rules formalize knowledge from documentsand experienced testers in the domain of test planning and test case generation.A software prototype of the approach was implemented and one of the industrialproject partners evaluated the results. An alternative method for generating testcases, based on genetic algorithms, was also explored.

  • 62.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Ismail, Muhammad
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Adlemo, Anders
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics.
    Johansson, Mats
    Saab AB.
    Application of inference rules to a software requirements ontology to generate software test cases2017In: OWL: Experiences and Directions – Reasoner Evaluation: 13th International Workshop, OWLED 2016, and 5th International Workshop, ORE 2016, Bologna, Italy, November 20, 2016, Revised Selected Papers / [ed] Dragoni, Mauro; Poveda-Villalón, María; Jimenez-Ruiz, Ernesto, Cham: Springer, 2017, p. 82-94Chapter in book (Refereed)
    Abstract [en]

    Testing of a software system is resource-consuming activity. One of the promising ways to improve the efficiency of the software testing process is to use ontologies for testing. This paper presents an approach to test case generation based on the use of an ontology and inference rules. The ontology represents requirements from a software requirements specification, and additional knowledge about components of the software system under development. The inference rules describe strategies for deriving test cases from the ontology. The inference rules are constructed based on the examination of the existing test documentation and acquisition of knowledge from experienced software testers. The inference rules are implemented in Prolog and applied to the ontology that is translated from OWL functional-style syntax to Prolog syntax. The first experiments with the implementation showed that it was possible to generate test cases with the same level of detail as the existing, manually produced, test cases.

  • 63.
    Tarasov, Vladimir
    et al.
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Tan, He
    Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).
    Jarfors, Anders E.W.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Seifeddine, Salem
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Fuzzy logic-based modelling of yield strength of as-cast A356 alloy2019In: Neural computing & applications (Print), ISSN 0941-0643, E-ISSN 1433-3058Article in journal (Refereed)
    Abstract [en]

    Uncertain and imprecise data are inherent to many domains, e.g. casting lightweight components. Fuzzy logic offers a way to handle such data, which makes it possible to create predictive models even with small and imprecise data sets. Modelling of cast components under fatigue load leads to understanding of material behaviour on component level. Such understanding is important for the design for minimum warranty risk and maximum weight reduction of lightweight cast components. This paper contributes with a fuzzy logic-based approach to model fatigue-related mechanical properties of as-cast components, which has not been fully addressed by the current research. Two fuzzy logic models are constructed to map yield strength to the chemical composition and the rate of solidification of castings for two A356 alloys. Artificial neural networks are created for the same data sets and then compared to the fuzzy logic approach. The comparison shows that although the neural networks yield similar prediction accuracy, they are less suitable for the domain because they are opaque models. The prediction errors exhibited by the fuzzy logic models are 3.53% for the model and 3.19% for the second, which is the same error level as reported in related work. An examination of prediction errors indicated that these are affected by parameters of the membership functions of the fuzzy logic model.

  • 64.
    Vdovitsyn, Vladimir
    et al.
    Institute of Applied Mathematical Research, KarRC RAS.
    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).
    Applying KBS-technology to a pulp-and-paper mill control automation1996In: Proceedings of II International Scientific and Technical Conference on New Information Technologies in Pulp and Paper Industry, Petrozavodsk, 1996, p. 33-34Conference paper (Other academic)
  • 65.
    Vdovitsyn, Vladimir
    et al.
    Institute of Applied Mathematical Research, KarRC RAS.
    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).
    Multi-agent system for informational support of collaborative researchers work in a computer network1999In: Proceedings of Finnish Data Processing Week (FDPW'99) on Developments in Distributed Systems and Data Communications, Vol. 2, Petrozavodsk: Petrozavodsk State University , 1999, p. 139-145Conference paper (Other academic)
    Abstract [en]

    The article considers the model of researchers' interaction when conducting a collaborative project. We also propose a multi-agent system architecture for informational support of the process of collaborative research using Internet technologies.

12 51 - 65 of 65
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf