Semantically-enabled business process models discovery

  1. Vulcu, G. 2
  2. Bhiri, S. 2
  3. Derguech, W. 2
  4. Ibáñez, M.J. 1
  1. 1 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  2. 2 National University of Ireland
    info

    National University of Ireland

    Dublín, Irlanda

    ROR https://ror.org/00shsf120

Revista:
International Journal of Business Process Integration and Management

ISSN: 1741-8763

Año de publicación: 2011

Volumen: 5

Número: 3

Páginas: 257-272

Tipo: Artículo

DOI: 10.1504/IJBPIM.2011.042529 SCOPUS: 2-s2.0-80052983240 GOOGLE SCHOLAR

Otras publicaciones en: International Journal of Business Process Integration and Management

Resumen

Business process (BP) model discovery is a pillar technique for BP model reuse. Current discovery approaches cannot deal with the functional granularity gap that exists between BP models on the one hand, and BP queries on the other hand. In addition, they focus only on the structural dimension and do not consider functional and non-functional requirements. In this paper, we present an approach for BP model discovery which resolves the above problems. We present an RDF vocabulary which captures functional and non-functional aspects in addition to the control flow perspective. Having the functional and non-functional descriptions of basic activities, we use a set of algorithms to compute those of structured activities and therefore derive different representations of the same BP model at different granularity levels. Using a set of extraction rules, we build an RDF knowledge base that can be interrogated using SPARQL. Copyright © 2011 Inderscience Enterprises Ltd.