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Developing A Domain Ontology For Business Process Management: A Case Study On Banking

Diğer Başlık: Developing A Domain Ontology For Business Process Management: A Case Study On Banking

Oluşturulma Tarihi: 30-09-2019

Niteleme Bilgileri

Tür: Tez

Alt Tür: Yüksek Lisans Tezi

Yayınlanma Durumu: Yayınlanmamış

Dosya Biçimi: PDF

Dil: İngilizce

Konu(lar): TEKNOLOJİ,

Yazar(lar): Demirbaş, Nagihan (Yazar),

Emeği Geçen(ler): Turhan, Çiğdem (Tez Danışmanı),


Yayın Tarihi: 21-07-2019


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Anahtar Kelimeler

Business Process Management, Ontology, Semantic Analysis, Protégé 


Özet

Business process management is a challenging task for organizations such as banks which have large collections of business process models. Organizations face problems which cannot be solved with current business process management technologies because of the limited degree of mechanization in BPM, creating insufficiency in the necessary evolution and dynamics of business processes. In other words, both querying and manipulating the process space regularly requires human labor, leading many times to slow, costly and imperfect situations. It also does not provide a uniform representation of an organization's process space on a semantic level, which would be accessible to intelligent queries. 

Although, using formal languages, such as BPMN, Petri Net, UML activity diagram for modeling business processes, a missing semantic representation of process elements can prevent further interconnectivity and interoperability of business processes. Therefore, using ontologies can provide support to the business process management. By describing business process models in a machine readable and interpretable format which enables semantic annotations and computer reasoning, organizations like banks having hundreds of business process models, can achieve the desired effectiveness and agility In this thesis, a domain ontology which provides machine readable semantic annotation of process models and efficient semantic analysis via logical queries is introduced for a selected bank sample.

Business process management is a challenging task for organizations such as banks which have large collections of business process models. Organizations face problems which cannot be solved with current business process management technologies because of the limited degree of mechanization in BPM, creating insufficiency in the necessary evolution and dynamics of business processes. In other words, both querying and manipulating the process space regularly requires human labor, leading many times to slow, costly and imperfect situations. It also does not provide a uniform representation of an organization's process space on a semantic level, which would be accessible to intelligent queries. 

Although, using formal languages, such as BPMN, Petri Net, UML activity diagram for modeling business processes, a missing semantic representation of process elements can prevent further interconnectivity and interoperability of business processes. Therefore, using ontologies can provide support to the business process management. By describing business process models in a machine readable and interpretable format which enables semantic annotations and computer reasoning, organizations like banks having hundreds of business process models, can achieve the desired effectiveness and agility In this thesis, a domain ontology which provides machine readable semantic annotation of process models and efficient semantic analysis via logical queries is introduced for a selected bank sample.



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