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Mining Workflow Repositories for Improving Fragments Reuse

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Date
2015
Dewey
Informatique générale
Sujet
workflows
DOI
http://dx.doi.org/10.1007/978-3-319-27932-9_7
Conference name
First COST Action IC1302 International KEYSTONE Conference, IKC 2015
Conference date
09-2015
Conference city
Coimbra
Conference country
Portugal
Book title
Semantic Keyword-based Search on Structured Data Sources. First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers
Author
Cardoso, Jorge; Guerra, Francesco; Houben, Geert-Jan; Pinto, Alexandre Miguel; Velegrakis, Yannis
Publisher
Springer International Publishing
Publisher city
Berlin
Year
2015
ISBN
978-3-319-27931-2
Book URL
10.1007/978-3-319-27932-9
URI
https://basepub.dauphine.fr/handle/123456789/15644
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Harmassi, Mariem
status unknown
Grigori, Daniela
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Belhajjame, Khalid
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
76-87
Abstract (EN)
Public repositories of scientific and business workflows are gaining growing attention as a means to enable understanding, reuse and ultimately the reproducibility of the processes such workflows incarnate. However, as the number of workflows hosted by such repositories grows, their users face difficulties when it come to exploring and querying workflows. In this paper, we explore a functionality that can help repository administrators to index their workflows, and users to identify the workflows that are of interest to them. In particular, we investigate the problem of finding frequent and similar fragments in workflows using graph mining techniques. Our objective is not to come up with yet another graph mining or similarity technique. Instead, we explore different representations that can be used for encoding workflows before assessing their similarity taking into consideration the effectiveness and efficiency of the mining algorithm.

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