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|Title=Recommendation-based Editor for Business Process Modeling
 
|Title=Recommendation-based Editor for Business Process Modeling
 
|Year=2011
 
|Year=2011
 +
|Month=Juni
 
|Journal=Data & Knowledge Engineering
 
|Journal=Data & Knowledge Engineering
 +
|Volume=70
 +
|Number=6
 +
|Pages=483-503
 
|Publisher=Elsevier
 
|Publisher=Elsevier
|Note=(conditionally accepted)
 
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
|Abstract=To ensure proper and e�cient modeling of business processes, it is important
+
|Abstract=To ensure proper and efficient modeling of business processes, it is important
 
to support users of process editors adequately. With minimal modeling support,
 
to support users of process editors adequately. With minimal modeling support,
 
the productivity of novice business process modelers may be low when
 
the productivity of novice business process modelers may be low when
 
starting process modeling. In this article, we present a theoretically sound and
 
starting process modeling. In this article, we present a theoretically sound and
 
empirically validated recommendation-based modeling support system, which
 
empirically validated recommendation-based modeling support system, which
covers di�erent aspects of business process modeling. We consider basic functionality,
+
covers different aspects of business process modeling. We consider basic functionality,
 
such as an intuitive search interface, as well as advanced concepts like
 
such as an intuitive search interface, as well as advanced concepts like
 
patterns observed in other users' preferences. Additionally, we propose a multitude
 
patterns observed in other users' preferences. Additionally, we propose a multitude
of interaction possibilities with the recommendation system, e.g., di�erent
+
of interaction possibilities with the recommendation system, e.g., different
 
metrics that can be used in isolation or an overall recommender component
 
metrics that can be used in isolation or an overall recommender component
 
that combines several sub metrics into one comprehensive score. We validate a
 
that combines several sub metrics into one comprehensive score. We validate a
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only comprehensive recommendation system for business process modeling that
 
only comprehensive recommendation system for business process modeling that
 
is available.
 
is available.
 +
|Link=http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TYX-5281SD2-1&_user=2149863&_coverDate=06%2F30%2F2011&_rdoc=1&_fmt=high&_orig=gateway&_origin=gateway&_sort=d&_docanchor=&view=c&_searchStrId=1749928189&_rerunOrigin=google&_acct=C000056383&_version=1&_urlVersion=0&_userid=2149863&md5=56621ee4b464e04983d8b5fcb290bf50&searchtype=a
 
|Forschungsgruppe=Betriebliche Informationssysteme
 
|Forschungsgruppe=Betriebliche Informationssysteme
 
}}
 
}}

Aktuelle Version vom 12. Mai 2011, 15:08 Uhr


Recommendation-based Editor for Business Process Modeling


Recommendation-based Editor for Business Process Modeling



Veröffentlicht: 2011 Juni

Journal: Data & Knowledge Engineering
Nummer: 6
Seiten: 483-503
Verlag: Elsevier
Volume: 70


Nicht-referierte Veröffentlichung

BibTeX




Kurzfassung
To ensure proper and efficient modeling of business processes, it is important to support users of process editors adequately. With minimal modeling support, the productivity of novice business process modelers may be low when starting process modeling. In this article, we present a theoretically sound and empirically validated recommendation-based modeling support system, which covers different aspects of business process modeling. We consider basic functionality, such as an intuitive search interface, as well as advanced concepts like patterns observed in other users' preferences. Additionally, we propose a multitude of interaction possibilities with the recommendation system, e.g., different metrics that can be used in isolation or an overall recommender component that combines several sub metrics into one comprehensive score. We validate a prototype implementation of the recommendation system with exhaustive user experiments based on real-life process models. To our knowledge, this is the only comprehensive recommendation system for business process modeling that is available.

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Forschungsgruppe

Betriebliche Informationssysteme


Forschungsgebiet