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检索条件"丛书名=Lecture Notes in Business Information Processing"

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Permission Analysis for Object-Centric Processes 36th

Permission Analysis for Object-Centric Processes

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Breitmayer, Marius Arnold, Lisa Reichert, Manfred Ulm Univ Inst Databases & Informat Syst Ulm Germany

ISBN: (纸本)9783031609992;9783031610004

The data-driven execution of object-centric processes in information systems requires powerful access control concepts that allow controlling, for example, which attributes of a business object a particular user (role) may read or write at a given point in time during process execution. In practice, it is crucial to be able to check whether the implementation of a fine-grained access control in an information system (i.e., the actual permissions) conforms with corporate requirements (e.g., compliance and security rules). If the execution of business processes is recorded in an event log, the actual access data can be compared with the specified permissions. Such a permission analysis includes the identification of both similarities and discrepancies between corporate requirements and actual implementation. This paper presents an approach for identifying, comparing, analyzing, evaluating, and classifying permissions in object-centric processes based on event logs.

关键词： object-centric process mining event log process analysis conformance checking permission analysis RBAC

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Conversational Systems for AI-Augmented business Process Management 18th

Conversational Systems for AI-Augmented Business Process Man...

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18th International Conference on Research Challenges in information Sciences (RCIS)

作者： Casciani, Angelo Bernardi, Mario L. Cimitile, Marta Marrella, Andrea Sapienza Univ Rome Rome Italy Univ Sannio Benevento Italy Unitelma Sapienza Rome Italy

ISBN: (纸本)9783031594649;9783031594656

AI-augmented business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems empowered by AI technology for autonomously unfolding and adapting the execution flow of business processes (BPs). A central characteristic of an ABPMS is the ability to be conversationally actionable, 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 reactive conversational agents, an ABPMS is required to create dynamic conversations that not only respond to user queries but even initiate conversations with 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.

关键词： AI-augmented business Process Management Conversational Systems Large Language Models Process Mining

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Reviewing Conformance Checking Uses for Run-Time Regulatory Compliance 25th

Reviewing Conformance Checking Uses for Run-Time Regulatory ...

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25th International Working Conference on business Process Modeling, Development, and Support (BPMDS) / 29th International Working Conference on Exploring Modeling Methods for Systems Analysis and Development (EMMSAD)

作者： Klessascheck, Finn Knoche, Tom Pufahl, Luise Tech Univ Munich Sch CIT Heilbronn Germany Weizenbaum Inst Networked Soc Berlin Germany Tech Univ Berlin Berlin Germany

ISBN: (纸本)9783031610066;9783031610073

Organizations manage numerous business processes to deliver their products and services to customers effectively while adhering to laws, industry standards, or guidelines, summarized here as regulations. Compliance checking involves verifying whether these processes align with the relevant regulations. There has been an increase in the availability of process execution data within IT systems that support these business processes. One valuable operation of process mining - conformance checking - enables a comparison between the actual execution behaviour, represented as event logs, and the desired behaviour outlined in a process model. As a result, conformance checking can be employed for run-time compliance checking, a concept that has been explored and enhanced through various research studies. This work presents a systematic literature review on regulatory compliance checking with conformance checking that offers insights into different domains, the operationalization of regulations, applied conformance checking techniques, and visualizations. Our analysis reveals that several steps are still performed manually, but we anticipate that future advancements in automation can significantly support the goals of run-time compliance checking.

关键词： Conformance Checking Regulations Process Compliance Literature Review

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Research on Cost Estimation of Launch Vehicle Based on Grey Neural Network 10th

Research on Cost Estimation of Launch Vehicle Based on Grey ...

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10th International Conference on Decision Support Systems Technologies (ICDSST)

作者： Liu, Zihui Ge, Bingfeng Huang, Yuming Hou, Zeqiang Wei, Wanying Li, Jichao Natl Univ Def Technol Coll Syst Engn Changsha Peoples R China

ISBN: (纸本)9783031593758;9783031593765

A cost estimation method for launch vehicles is proposed combining the concepts of machine learning, aims to provide assistance in strategic decision-making processes pertaining to satellite launch activities. First, the characteristics of existing methods for estimating the cost of launch vehicles are analyzed, and draws out the machine learning methods based on the characteristics of the current development of launch vehicles in China. Next, a model algorithm based on a dynamic neural network and grey relational analysis is introduced. This algorithm simplifies the network structure by iteratively eliminating low correlation coefficient nodes, effectively addressing the issue of overfitting in small sample data. Finally, the proposed method is validated through a case study about prediction of the Long March series launch vehicle, demonstrating its feasibility and effectiveness.

关键词： Launch vehicle Cost estimation Grey relational Neural network

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Decentralization of DAOs: A Fundamental Analysis 20th

Decentralization of DAOs: A Fundamental Analysis

引用

20th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Papangelou, Stamatis Christodoulou, Klitos Themistocleous, Marinos Univ Nicosia Inst Future IFF Sch Business Dept Digital Innovat Nicosia Cyprus

ISBN: (纸本)9783031564772;9783031564789

This paper addresses a significant gap in the current understanding of decentralization within Decentralized Autonomous Organizations (DAOs). While many theoretical discussions generalize governance models, there is a lack of in-depth analysis of the unique governance structures and their inherent decentralization mechanisms in individual DAOs. To bridge this gap, the paper presents two primary contributions. First, it offers a foundational analysis of potential points of failure in decentralization within DAOs. Second, the study introduces a "decentralization layer system", a new framework aimed at guiding future quantitative analyses of decentralization. This system is based on two pillars: a critical evaluation of governance structures and a stratification approach to identify distinct layers within these structures. The paper further demonstrates the application of this framework by analyzing the governance models of several DAOs, including Uniswap, Compound, and ApeCoin. Through these analyses, the paper provides insights into the strengths and vulnerabilities of eachDAO's decentralization mechanisms, offering a comprehensive perspective on DAO governance.

关键词： DeFi DAOs Governance Decentralization

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Towards an Explorable Conceptual Map of Large Language Models 36th

Towards an Explorable Conceptual Map of Large Language Model...

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36th International Conference on Advanced information Systems Engineering (CAiSE)

作者： Bertetto, Lorenzo Bettinelli, Francesca Buda, Alessio Da Mommio, Marco Di Bari, Simone Savelli, Claudio Baralis, Elena Bernasconi, Anna Cagliero, Luca Ceri, Stefano Pierri, Francesco Politecn Torino Turin Italy Politecn Milan Milan Italy

ISBN: (纸本)9783031609992;9783031610004

Large Language Models (LLMs) have revolutionized the current landscape of Natural Language processing, enabling unprecedented advances in text generation, translation, summarization, and more. Currently, limited efforts have been devoted to providing a high-level and systematic description of their properties. Today's primary source of information is the Hugging Face (HF) catalog, a rich digital repository for researchers and developers. Although it hosts several models, datasets, and applications, its underlying data model supports limited exploration of linked information. In this work, we propose a conceptual map for describing the landscape of LLMs, organized by using the classical entity-relationship model. Our semantically rich data model allows end-users to answer insightful queries regarding, e.g., which metrics are most appropriate for assessing a specific LLM performance over a given downstream task. We first model the resources available in HF and then show how this map can be extended to support additional concepts and more insightful relationships. Our proposal is a first step towards developing a well-organized, high-level knowledge base supporting user-friendly interfaces for querying and discovering LLM properties.

关键词： Conceptual Modeling Knowledge Graph Large Language Models Knowledge Exploration Knowledge Management

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business Models for Mobility Data Sharing Platforms: Stakeholders' Perceptions 20th

Business Models for Mobility Data Sharing Platforms: Stakeho...

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20th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Benyayer, Louis-David Bick, Markus ESCP Business Sch Paris France ESCP Business Sch Berlin Germany

ISBN: (纸本)9783031564802;9783031564819

Potential economic benefits of data sharing have been estimated and described in many reports and research. However, data sharing initiatives are limited by a lack of alignment on the business models for data sharing among stakeholders. In this research we aim specifically to investigate the perceptions of the stakeholders of such data sharing platforms on business models for data sharing to identify ways to foster alignment on business models. In our qualitative exploratory analysis (interviews and focus groups with stakeholders involved in a EU-funded project, MobiDataLab) we identify 6 criteria used by the stakeholders to compare business models and rank 5 archetypal business models according to them. We conclude with insights useful for business model design for mobility data sharing platforms and possible future research.

关键词： platforms business models data sharing

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Voice Assistants - Research Landscape 20th

Voice Assistants - Research Landscape

引用

20th European, Mediterranean, and Middle Eastern Conference (EMCIS)

作者： Almirabi, Alaa Mehandjiev, Nikolay Sarantopoulos, Panagiotis Univ Manchester Alliance Manchester Business Sch Booth St West Manchester M13 0PB Lancs England

ISBN: (纸本)9783031564772;9783031564789

AI-powered Voice Assistants (VAs) emerge as attractive facilitators of the increasing interactions between people and machines in the Metaverse. VAs are still at early stages of adoption, so this systematic literature review charts the landscape of existing VA research with a focus on their use in different context. This helps us identify important aspects that require further examination. The findings indicate that while academic interest in this novel subject is increasing, the literature regarding the factors that drive continuous use does not take into account VAs' intelligence. Indeed, users perceive such devices as collaborative sentient actors rather than as tools. Taking these perceptions into consideration can help to increase the engagement of users with VAs.

关键词： AI Voice assistant (VA) Usage Interactions

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US4USec: A User Story Model for Usable Security 18th

US4USec: A User Story Model for Usable Security

引用

18th International Conference on Research Challenges in information Sciences (RCIS)

作者： Gharib, Mohamad Univ Tartu Tartu Estonia

ISBN: (纸本)9783031594649;9783031594656

Constant integration of new technologies in our daily lives exposes us to various security threats. While numerous security solutions have been developed to protect us from these threats, they fail due to users' insufficient comprehension of how to employ them optimally. This challenge often stems from inadequate capture of Usable Security (USec) requirements, leading to these requirements being over-looked or not properly considered in the final solution, resulting in barely usable security solutions. A viable solution is to adeptly capturing USec requirements. Although techniques like User Stories (US) have gained popularity for focusing on users' needs, they encounter difficulties when dealing with non-functional requirements (NFR), like USec. This occurs due to the lack of well-defined US models explicitly tailored to address these particular requirements. This paper aims to tackle this issue by proposing US4USec, a US model tailored for USec. US4USec has been constructed based on best practices for the consideration and integration of NFR into US models that have been identified via a Systematic Literature Review (SLR). The coverage and completeness of US4USec have been demonstrated by applying it to a set of security US.

关键词： Usable Security User Story Security-aware systems Human-centric design Requirements Engineering

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Understanding the Impact of Design Choices on the Performance of Predictive Process Monitoring 5th

Understanding the Impact of Design Choices on the Performanc...

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5th International Conference on Process Mining (ICPM)

作者： Kim, Sungkyu Comuzzi, Marco Di Francescomarino, Chiara Ulsan Natl Inst Sci & Technol Ulsan South Korea Univ Trento Trento Italy

ISBN: (纸本)9783031561061;9783031561078

Predictive process monitoring (PPM) aims at creating models that predict aspects of interest of process execution using historical data available in event logs, mostly using machine learning (ML) techniques. When developing a PPM model, one has several design choices, encompassing both ML-related concerns, such as which classification or regression model to choose, and PPM-specific concerns, such as how to encode the trace prefixes or whether to drop infrequent activities when training a model. While the literature has seen a few attempts to study how these choices impact the performance of a PPM model, no systematic studies on this matter exist. This paper moves towards closing this gap. We propose a framework to interpret the impact of design choices on the performance of a PPM model. The proposed framework uses as building blocks a search space exploration algorithm, which is able to generate different model configurations, and explainable AI techniques, e.g., SHAP, to analyze the impact of design choices on the model performance based on the generated configurations. We show an instantiation of the framework in the use case of outcome-oriented PPM, discussing also the experimental results obtained using publicly available event logs.

关键词： business Process Prediction Guidelines

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