Auto-Generating Business Process Model From Heterogeneous Documents: A Comprehensive Literature Survey

Indahyanti, Uce; Djunaidy, Arif; Siahaan, Daniel

doi:10.23919/eecsi56542.2022.9946460

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…However, interest to generation of models from various types of document sources has recently increased [26,59,28]. Referring to [29] as an input for business process model generation use case diagrams, business rules, standard operating procedures, and plain unstructured text are considered. Based on the approaches mentioned above, the following 3 steps for creating BPMN can be summarized [11,60]: (1) Sentence Level Analysis: extraction of basic BPMN artefacts such as tasks, events, and actors; (2) Text Level Analysis: exploration of relationships between basic items, e.g., , gateways.…”

Section: How Do Chatbots Work and What Are Important Areas Of Applica...mentioning

confidence: 99%

Conversational Process Modelling: State of the Art, Applications, and Implications in Practice

Klievtsova,

Benzin,

Kampik

et al. 2023

Lecture Notes in Business Information Processing

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Chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, it is often not clear how to apply chatbots to generate business value. Hence, this work aims at the systematic analysis of existing chatbots for their support of conversational process modelling as process-oriented capability. Application scenarios are identified along the process life cycle. Then a systematic literature review on conversational process modelling is performed. The resulting taxonomy serves as input for the identification of application scenarios for conversational process modelling, including paraphrasing and improvement of process descriptions. The application scenarios are evaluated for existing chatbots based on a real-world test set from the higher education domain. It contains process descriptions as well as corresponding process models, together with an assessment of the model quality. Based on the literature and application scenario analyses, recommendations for the usage (practical implications) and further development (research directions) of conversational process modelling are derived.

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Section: How Do Chatbots Work and What Are Important Areas Of Applica...mentioning

confidence: 99%

Conversational Process Modelling: State of the Art, Applications, and Implications in Practice

Klievtsova,

Benzin,

Kampik

et al. 2023

Lecture Notes in Business Information Processing

View full text Add to dashboard Cite

show abstract

Auto-Generating Business Process Model From Heterogeneous Documents: A Comprehensive Literature Survey

Cited by 1 publication

References 31 publications

Conversational Process Modelling: State of the Art, Applications, and Implications in Practice

Conversational Process Modelling: State of the Art, Applications, and Implications in Practice

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