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020			_a9783031176043 _9978-3-031-17604-3
024	7		_a10.1007/978-3-031-17604-3 _2doi
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245	1	0	_aEnterprise Design, Operations, and Computing _h[electronic resource] : _b26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3–7, 2022, Proceedings / _cedited by João Paulo A. Almeida, Dimka Karastoyanova, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_aXXIII, 271 p. 67 illus., 46 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x1611-3349 ; _v13585
505	0		_aEnterprise Security -- Computable consent – from regulatory, legislative, and organizational policies to security -- Multi-Level Cyber-Security Reference Model in Support of Vulnerability Analysis -- Security Ontologies: A Systematic Literature Review -- Enterprise Architecture -- Model-based Construction of Enterprise Architecture Knowledge Graphs -- Enterprise Architecture Management Support for Digital Transformation Projects in Very Large Enterprises: A Case Study at a European Mobility Provider -- Interoperability of digital government services: A Brazilian Reference Architecture Model to promote communication, management, and reuse of solutions -- Business Process Modeling and Monitoring -- Modeling, Executing and Monitoring IoT-Driven Business Rules in BPMN and DMN: Current Support and Challenges -- Enhanced Transformation of BPMN Models with Cancellation Features -- Next-Activity Prediction for Non-stationary Processes with Unseen Data Variability -- Business Process Mining and Discovery -- On the Origin of Questions in Process Mining Projects -- Extracting business process entities and relations from text using pre-trained language models and in-context learning -- Discovering Sound Free-choice Workflow Nets With Non-block Structures -- Shape Your Process: Discovering Declarative Business Processes from Positive and Negative Traces Taking into Account User Preferences -- Process-Driven Applications -- Semi-Automated Test Migration for BPMN-based Process-Driven Applications -- Splitting Quantum-Classical Scripts for the Generation of Quantum Workflows.
520			_aThis book constitutes the proceedings of the 26th International Conference on Enterprise Design, Operations, and Computing, EDOC 2022, which took place in Bozen-Bolzano, Italy, in October 2022. The 15 full papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in topical sections as follows: enterprise security; enterprise architecture; business process modeling and monitoring; business process mining and discovery; and process-driven applications.
650		0	_aBusiness information services.
650		0	_aData structures (Computer science).
650		0	_aInformation theory.
650		0	_aDatabase management.
650		0	_aArtificial intelligence.
650		0	_aElectronic commerce.
650		0	_aComputers.
650	1	4	_aEnterprise Architecture.
650	2	4	_aData Structures and Information Theory.
650	2	4	_aDatabase Management.
650	2	4	_aArtificial Intelligence.
650	2	4	_ae-Commerce and e-Business.
650	2	4	_aComputing Milieux.
700	1		_aAlmeida, João Paulo A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKarastoyanova, Dimka. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGuizzardi, Giancarlo. _eeditor. _0(orcid) _10000-0002-3452-553X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMontali, Marco. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMaggi, Fabrizio Maria. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFonseca, Claudenir M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031176036
776	0	8	_iPrinted edition: _z9783031176050
830		0	_aLecture Notes in Computer Science, _x1611-3349 ; _v13585
856	4	0	_uhttps://doi.org/10.1007/978-3-031-17604-3
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