Towards a Methodology for Knowledge Reuse Based on Semantic Repositories View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-06-06

AUTHORS

Anabel Fraga, Juan Llorens, Gonzalo Génova

ABSTRACT

Although reuse is generally considered a good practice within software engineering, several problems dissuade its industrial application and a new viewpoint is needed. This paper presents a new perspective of reuse based on improved retrieval techniques for semantic content (knowledge). This approach, called Universal Knowledge Reuse Methodology (UKRM), drops the investment costs needed in systematic reuse, including the cost of traceability in the process, and reduces the chaos of ad-hoc reuse. UKRM makes reuse independent of the type of content, the context where it will be reused, and even the user that demands it. The paper includes an incremental experiment in order to validate the feasibility of this proposal. More... »

PAGES

1-21

References to SciGraph publications

  • 2004. RSHP: an information representation model based on relationships in SOFT COMPUTING IN SOFTWARE ENGINEERING
  • 2017. Requirements Quality Analysis: A Successful Case Study in the Industry in COMPLEX SYSTEMS DESIGN & MANAGEMENT
  • 1998-01. DARE: Domain analysis and reuse environment in ANNALS OF SOFTWARE ENGINEERING
  • 1998. Negotiating the Construction of Organisational Memories in INFORMATION TECHNOLOGY FOR KNOWLEDGE MANAGEMENT
  • 2007. Using Ontologies for Software Development Knowledge Reuse in PROGRESS IN ARTIFICIAL INTELLIGENCE
  • 2007-05. An engineering design knowledge reuse methodology using process modelling in RESEARCH IN ENGINEERING DESIGN
  • 1998. Corporate Memories for Knowledge Management in Industrial Practice: Prospects and Challenges in INFORMATION TECHNOLOGY FOR KNOWLEDGE MANAGEMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10796-018-9862-7

    DOI

    http://dx.doi.org/10.1007/s10796-018-9862-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104433477


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