A Multilayer Ontology to represent Business Process Models and Execution Data
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2015
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
Business process management is still characterized by a low degree of mechanization. One of the main causes is a lack of an appropriate semantic representation for business process models and execution data unified in a single ontology. Many researchers addressed this problem but the ontologies proposed so far define a proprietary property called occurrenceOf" to link a process model to its execution data. In this paper I propose an alternative approach based on a multilayer representation using the instance Of relation instead. This is cognitively more adequate and allows to use standard reasoning mechanisms. I show how OWL-FA enables a semantic representation of the metamodel in an ontology, providing decidable reasoners. A case study is used to clarify some representation problems and the semantic issue is addressed through a detailed analysis. The results section shows how it is possible to answer some queries with the support of this ontology, demonstrating how our ontology can be a suitable tool to enhance the mechanization of business process management. The last part of this thesis is dedicated to possible extensions through integration with other ontologies in order to enable the user to achieve a more complete process definition using other modeling languages. In this case I use Archimate through ArchiMEO, an RDFS ontology developed by FHNW, to represent some fundamental concepts of the case study.
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
FANESI, Diego, 2015. A Multilayer Ontology to represent Business Process Models and Execution Data. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39824