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Titlebook: Research Challenges in Information Science; 18th International C João Araújo,Jose Luis de la Vara,Saïd Assar Conference proceedings 2024 Th

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Conversational Systems for AI-Augmented Business Process Managementtonomously unfolding and adapting the execution flow of business processes (BPs). A central characteristic of an ABPMS is the ability to be ., i.e., to proactively interact with human users about BP-related actions, goals, and intentions. While today’s trend is to support BP automation using reactiv
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: Visualizing Process Chronologies from Vast Collections of Heterogeneous Information Objectscision came into existence. Current approaches, like timelines, lack the expressiveness to represent the variety of relations in which historic events may link to the overall chronology. This obfuscates the nature of the interdependence among the events, and the texts from which they are distilled.
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Imposing Rules in Process Discovery: An Inductive Mining Approachs and serve as a foundational element for conformance checking, performance analyses, and many other applications. While most of the current process discovery algorithms primarily rely on a single event log for model discovery, additional sources of information, such as process documentation and dom
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A Tertiary Study on Quality in Use Evaluation of Smart Environment Applicationsmed, we carried out a tertiary study. From a total of 1,028 studies, 21 were carefully selected for analysis. The results confirmed that classical questionnaires and interviews are the techniques that are still used the most for evaluation, but that simulation appears as a new trend to that end.
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Conversational Systems for AI-Augmented Business Process Managementth users to inform them of the BP progression and make recommendations to improve BP performance. In this paper, we explore the extent to which state-of-the-art conversational systems (CSs) can be used to develop such proactive conversation features, and we discuss the research challenges and opportunities within this area.
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