From Organizational Guidelines to Business Process Models: Exploratory Case for an Ontology Based Methodology

Gürbüz, Özge; Demirörs, Onur

doi:10.1109/cbi.2017.22

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…(3) Conceptualization phase: the process entities extracted in the previous step are conceptualized as ontology individuals under the predefined upper layer process ontology as mentioned earlier and shown in Figure 1. To do so, a meta-model was created to match process entities with process elements as given in Figure 2 ( Gurbuz and Demirors, 2017b). This meta-model shows correspondences of process elements in the sentence.…”

Section: The Pronpo Methodologymentioning

confidence: 99%

“…Even though the developed process ontology may not fulfill all the requirements of a desired process model, it can provide a skeleton for reflecting on what is written in the document parsed. Process model generation (ProModGen) view plugin (Gurbuz and Demirors, 2017b) was implemented to transform the process ontology instances to process model elements which are stored on a PROMPTUM Ontology Server as ontology resources (Coskuncay et al, 2016). This transformation not only leads to time and effort savings for process modeling but also helps to precisely reflect on what is written in the guidelines on process models.…”

Section: The Pronpo Toolmentioning

confidence: 99%

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Process ontology development using natural language processing: a multiple case study

Gürbüz

Rabhi

Demirörs

2018

BPMJ

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Purpose Integrating ontologies with process modeling has gained increasing attention in recent years since it enhances data representations and makes it easier to query, store and reuse knowledge at the semantic level. The authors focused on a process and ontology integration approach by extracting the activities, roles and other concepts related to the process models from organizational sources using natural language processing techniques. As part of this study, a process ontology population (PrOnPo) methodology and tool is developed, which uses natural language parsers for extracting and interpreting the sentences and populating an event-driven process chain ontology in a fully automated or semi-automated (user assisted) manner. The purpose of this paper is to present applications of PrOnPo tool in different domains. Design/methodology/approach A multiple case study is conducted by selecting five different domains with different types of guidelines. Process ontologies are developed using the PrOnPo tool in a semi-automated and fully automated fashion and manually. The resulting ontologies are compared and evaluated in terms of time-effort and recall-precision metrics. Findings From five different domains, the results give an average of 70 percent recall and 80 percent precision for fully automated usage of the PrOnPo tool, showing that it is applicable and generalizable. In terms of efficiency, the effort spent for process ontology development is decreased from 250 person-minutes to 57 person-minutes (semi-automated). Originality/value The PrOnPo tool is the first one to automatically generate integrated process ontologies and process models from guidelines written in natural language.

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Section: The Pronpo Methodologymentioning

confidence: 99%

Section: The Pronpo Toolmentioning

confidence: 99%

Process ontology development using natural language processing: a multiple case study

Gürbüz

Rabhi

Demirörs

2018

BPMJ

Self Cite

View full text Add to dashboard Cite

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“…Other work related to the perspective of organizational processes are: a methodology for generating process models, consisting of two phases: 1) the conversion of a text to a process and generation of the ontology by the structured and semantic process model called process ontology [25] and 2) the generation of knowledge through a process-oriented ontology that improves the ontologies related to the topic, because it involves the responsibilities of manufacturing engineering and its planning [26]. This article focuses on the explanation of the planning process.…”

Section: Status Of the Questionmentioning

confidence: 99%

A Methodology to Manage Organizational Procedures Through Ontologies

et al. 2019

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Organizations today need to maintain relationships with actors who intervene in the execution of key processes. This creates problems for the correct administration of the organization's procedures and in administrating a shared jargon, increasing costs related to the procedures. The objective of this paper is to present the MONPRO methodology, which supports the management of organizational procedures through the creation of specific ontologies of the organizational domain (including employee jargon and natural language), allowing any person with knowledge in computer science to create ontologies, without needing to be an expert. MONPRO is composed of five phases. The activities in each of them define a series of forms and diagrams that lead the ontology developer to break down the procedure and obtain the necessary resources to build the ontology. To test the methodology, the Presentation and Defense of the Doctoral Thesis at UC3M procedure for the Carlos III University of Madrid, Leganés Campus, Spain was used. The results can, in general, have a positive impact, reducing costs for a company through their no longer requiring to hire experts to develop procedure ontologies, also reducing by approximately 43.8% the consultation time on procedures and establishing a common organizational language regardless of the jargon of a particular employee. In general, this research offers organizations the opportunity to improve operational procedures, giving their employees access to the standards of the organization using a natural language and its own jargon, increasing the quality of procedures. INDEX TERMS Management of organizational procedures, ontology creation methodology, organizational jargon, organizational ontologies.

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