IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v18y2016i2d10.1007_s10796-014-9540-3.html
   My bibliography  Save this article

Computationally efficient ontology selection in software requirement planning

Author

Listed:
  • R. B. K. Brown

    (University of Wollongong)

  • G. Beydoun

    (University of Wollongong)

  • G. Low

    (University of New South Wales)

  • W. Tibben

    (University of Wollongong)

  • R. Zamani

    (University of Wollongong)

  • F. García-Sánchez

    (University of Valencia)

  • R. Martinez-Bejar

    (University of Valencia)

Abstract

Understanding the needs of stakeholders and prioritizing requirements are the vital steps in the development of any software application. Enabling tools to support these steps have a critical role in the success of the corresponding software application. Based on such a critical role, this paper presents a computationally efficient ontology selection in software requirement planning. The key point guiding the underlying design is that, once gathered, requirements need to be processed by decomposition towards the generation of a specified systems design. A representational framework allows for the expression of high level abstract conceptions under a single schema, which may then be made explicit in terms of axiomatic relations and expressed in a suitable ontology. The initial experimental results indicate that our framework for filtered selection of a suitable ontology operates in a computationally efficient manner.

Suggested Citation

  • R. B. K. Brown & G. Beydoun & G. Low & W. Tibben & R. Zamani & F. García-Sánchez & R. Martinez-Bejar, 2016. "Computationally efficient ontology selection in software requirement planning," Information Systems Frontiers, Springer, vol. 18(2), pages 349-358, April.
    • Handle: RePEc:spr:infosf:v:18:y:2016:i:2:d:10.1007_s10796-014-9540-3
    DOI: 10.1007/s10796-014-9540-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-014-9540-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-014-9540-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. I-Ching Hsu, 2013. "Personalized web feeds based on ontology technologies," Information Systems Frontiers, Springer, vol. 15(3), pages 465-479, July.
    2. Nicola Guarino & Daniel Oberle & Steffen Staab, 2009. "What Is an Ontology?," International Handbooks on Information Systems, in: Steffen Staab & Rudi Studer (ed.), Handbook on Ontologies, pages 1-17, Springer.
    3. Csaba Veres & Jennifer Sampson & Karl Cox & Steven Bleistein & June Verner, 2010. "An Ontology-Based Approach for Supporting Business-IT Alignment," Springer Optimization and Its Applications, in: Fatos Xhafa & Leonard Barolli & Petraq J. Papajorgji (ed.), Complex Intelligent Systems and Their Applications, chapter 0, pages 21-42, Springer.
    4. Álvaro Carrera & Carlos A. Iglesias & Mercedes Garijo, 2014. "Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development," Information Systems Frontiers, Springer, vol. 16(2), pages 169-182, April.
    5. Steffen Staab & Rudi Studer (ed.), 2009. "Handbook on Ontologies," International Handbooks on Information Systems, Springer, number 978-3-540-92673-3, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 0. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    2. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 2018. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 20(5), pages 1075-1095, October.
    3. Dedi Iskandar Inan & Ghassan Beydoun & Simon Opper, 2018. "Agent-Based Knowledge Analysis Framework in Disaster Management," Information Systems Frontiers, Springer, vol. 20(4), pages 783-802, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hai Zhu & Xingsi Xue & Hongfeng Wang, 2022. "Matching Ontologies through Multi-Objective Evolutionary Algorithm with Relevance Matrix," Mathematics, MDPI, vol. 10(12), pages 1-12, June.
    2. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 0. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    3. Kimberly García & Sonia Mendoza & Dominique Decouchant & Patrick Brézillon, 2018. "Facilitating resource sharing and selection in ubiquitous multi-user environments," Information Systems Frontiers, Springer, vol. 20(5), pages 1075-1095, October.
    4. Salvatore F. Pileggi & Marius Indorf & Ayman Nagi & Wolfgang Kersten, 2020. "CoRiMaS—An Ontological Approach to Cooperative Risk Management in Seaports," Sustainability, MDPI, vol. 12(11), pages 1-23, June.
    5. Greig Charnock & Hug March & Ramon Ribera-Fumaz, 2021. "From smart to rebel city? Worlding, provincialising and the Barcelona Model," Urban Studies, Urban Studies Journal Limited, vol. 58(3), pages 581-600, February.
    6. Juan M. Alberola & Vicent Botti & Jose M. Such, 2014. "Advances in infrastructures and tools for multiagent systems," Information Systems Frontiers, Springer, vol. 16(2), pages 163-167, April.
    7. Xingsi Xue & Qi Wu & Miao Ye & Jianhui Lv, 2022. "Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm," Mathematics, MDPI, vol. 10(17), pages 1-20, September.
    8. Parastoo Delgoshaei & Mohammad Heidarinejad & Mark A. Austin, 2022. "A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    9. Vinodh Krishnaraju & Saji K Mathew & Vijayan Sugumaran, 2016. "Web personalization for user acceptance of technology: An empirical investigation of E-government services," Information Systems Frontiers, Springer, vol. 18(3), pages 579-595, June.
    10. Xixi Zhu & Bin Liu & Cheng Zhu & Zhaoyun Ding & Li Yao, 2023. "Approximate Reasoning for Large-Scale ABox in OWL DL Based on Neural-Symbolic Learning," Mathematics, MDPI, vol. 11(3), pages 1-24, January.
    11. Nguyen Hoang Thuan & Pedro Antunes & David Johnstone, 2018. "A Decision Tool for Business Process Crowdsourcing: Ontology, Design, and Evaluation," Group Decision and Negotiation, Springer, vol. 27(2), pages 285-312, April.
    12. Jan Schweikert & Karl-Uwe Stucky & Wolfgang Süß & Veit Hagenmeyer, 2023. "A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies," Energies, MDPI, vol. 16(3), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:18:y:2016:i:2:d:10.1007_s10796-014-9540-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.