Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches

THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT

van der Aalst, W. M. P. (1998) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126698000043 · Cited by 2,716

Workflow Patterns

van der Aalst, W. M. P., ter Hofstede, A. H. M., Kiepuszewski, B., & Barros, A. (2003) · Distributed and Parallel Databases · doi:10.1023/a:1022883727209 · Cited by 2,613

Fundamentals of Business Process Management

Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. A. (2018) · Springer eBooks · doi:10.1007/978-3-662-56509-4 · Cited by 1,832

Business Process Management : Concepts, Languages, Architectures

Weske, M., & GmbH, S.-V. (2007) · doi:10.1007/978-3-540-73522-9 · Cited by 1,664

The temporal logic of programs

Pnueli, A. (1977) · 18th Annual Symposium on Foundations of Computer Science (sfcs 1977) · doi:10.1109/sfcs.1977.32 · Cited by 1,523

Fundamentals of Business Process Management

Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. A. (2013) · Springer eBooks · doi:10.1007/978-3-642-33143-5 · Cited by 1,372

Knowledge in action: logical foundations for specifying and implementing dynamical systems

(2002) · Choice Reviews Online · doi:10.5860/choice.39-4626 · Cited by 1,094

Business Process Management: A Comprehensive Survey

van der Aalst, W. M. P. (2013) · ISRN Software Engineering · doi:10.1155/2013/507984 · Cited by 828

Thinking for a living: how to get better performance and results from knowledge workers

(2006) · Choice Reviews Online · doi:10.5860/choice.43-3471 · Cited by 781

Untitled work

(1996) · Sloan management review · Cited by 767

Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution

Yu, Y., Li, X., Liu, H., Mei, J., Mukhi, N. K., Ishakian, V., Xie, G., Lakshmanan, G. T., & Marin, M. A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23063-4_16 · Cited by 3

Supporting Doctors through Mobile Multimodal Interaction and Process-Aware Execution of Clinical Guidelines

Cossu, F., Marrella, A., Mecella, M., Russo, A., Kimani, S., Bertazzoni, G., Colabianchi, A., Corona, A., Luise, A. D., Grasso, F., et al. (2014) · IEEE International Conference on Service-Oriented Computing and Applications (SOCA) · doi:10.1109/soca.2014.44 · Cited by 3

Stage-based business process mining

Nguyen, H., Rosa, M. L., Dumas, M., & ter Hofstede, A. H. M. (2017) · QUT ePrints (Queensland University of Technology) · Cited by 3

UM ESTUDO SOBRE A APLICAÇÃO DA GESTÃO DO CONHECIMENTO NA ADMINISTRAÇÃO PÚBLICA

Amorim, P. M., & da Costa, S. R. R. (2020) · Brazilian Journal of Development · doi:10.34117/bjdv6n8-263 · Cited by 3

A conceptual ontological framework for managing the social business process to enhance customer experience

Helmy, Y., AbdelGaber, S., Fahmy, H., & Montasser, H. S. (2020) · Knowledge and Process Management · doi:10.1002/kpm.1652 · Cited by 3

Modeling Decision-Intensive Processes with Declarative Business Artifacts

Eshuis, R. (2019) · Lecture notes in business information processing · doi:10.1007/978-3-030-32242-7_1 · Cited by 3

Feature-oriented engineering of declarative artifact-centric process models

Eshuis, R. (2020) · Information Systems · doi:10.1016/j.is.2020.101644 · Cited by 3

Workarounds

Beerepoot, I. (2022) · doi:10.33540/1270 · Cited by 3

Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining

Lukassen, B., Genga, L., & Zhang, Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-44505-7_31 · Cited by 2

Design Principles for Using Business Process Management Systems

Dunzer, S., Tang, W., Höchstädter, N., Zilker, S., & Matzner, M. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-50974-2_17 · Cited by 2

Adapting to the Dynamic Nature of Business Processes in the Digital Age

Szelągowski, M., Potoczek, N. R., Śliż, P., Berniak‐Woźny, J., Napieraj, A., Podobińska-Staniec, M., Kozłowski, A., & Senkus, P. J. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-70445-1_14 · Cited by 2

DACEO: Declarative Asynchronous Choreographies with General Data-Dependent Event-Ordering and Objects

Zuckmantel, T., Zhou, Y., Düdder, B., & Hildebrandt, T. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-95589-1_10 · Cited by 2

A Systematic Comparison of Case Management Languages

Holz, J., Pufahl, L., & Weber, I. M. (2023) · Lecture notes in business information processing · doi:10.1007/978-3-031-25383-6_19 · Cited by 2

Measuring rule-based LTLf process specifications: A probabilistic data-driven approach

Cecconi, A., Barbaro, L., Ciccio, C. D., & Senderovich, A. (2023) · Information Systems · doi:10.1016/j.is.2023.102312 · Cited by 2

Uma Estratégia baseada em Regras para Instanciação, Validação e Simulação de Modelos de Processos intensivos em Conhecimento

Barboza, T., Baião, F., & Santoro, F. M. (2019) · iSys - Brazilian Journal of Information Systems · doi:10.5753/isys.2019.384 · Cited by 2

Passage challenges from data-intensive system to knowledge-intensive system related to process mining field

Lamghari, Z., Radgui, M., Saidi, R., & Rahmani, M. D. (2019) · ArabWIC Annual International Conference (ArabWIC) · doi:10.1145/3333165.3333168 · Cited by 2

Human Behavior as a Process Model: Which Language to Use?

Federico, G. D., Burattin, A., & Montali, M. (2021) · Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) · Cited by 2

Context-Aware Process Modelling for Medicinal Product Development

Yurt, Z. O., Eshuis, R., Wilbik, A., & Vanderfeesten, I. (2021) · Lecture notes in business information processing · doi:10.1007/978-3-030-91279-6_12 · Cited by 2

Designing Adaptive Developer-Chatbot Interactions: Context Integration, Experimental Studies, and Levels of Automation

Melo, G. (2023) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse-companion58688.2023.00064 · Cited by 4

SmartPM: An adaptive process management system for executing processes in cyber-physical domains?

Marrella, A., Halapuu, P., Mecella, M., & Sardiña, S. (2015) · IRIS Research product catalog (Sapienza University of Rome) · Cited by 2

SmartPM: Automated Adaptation of Dynamic Processes

Marrella, A., Mecella, M., Sardiña, S., & Tucceri, P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-22885-3_40 · Cited by 2

Systemunterstützung für wissensintensive Geschäftsprozesse – Konzepte und Implementierungsansätze

Buck-Emden, R., & Alda, S. (2017) · Springer eBooks · doi:10.1007/978-3-658-17297-8_6 · Cited by 2

A Java-Based Framework for Case Management Applications

Zensen, A., & Küster, J. M. (2019) · Lecture notes in business information processing · doi:10.1007/978-3-030-26643-1_7 · Cited by 2

ODD-BP - an Ontology- and Data-Driven Business Process Model.

Rietzke, E., Bergmann, R., & Kühn, N. (2019) · LWDA · Cited by 2

Decision-Making in Knowledge-intensive Processes: The Case of Value Ascription and Goal Processing

Richetti, P. H. P., Baião, F., & Campos, M. L. M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-33223-5_30 · Cited by 2

Emergent Concepts on Knowledge Intensive Processes

Aranda-Corral, G. A., Borrego‐Díaz, J., Galán‐Paez, J., & Jiménez-Mavillard, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-11289-3_29 · Cited by 2

Supporting Contextual Conversational Agent-Based Software Development

Melo, G., Lins, L. F., Alencar, P., & Cowan, D. D. (2023) · IEEE/ACM International Workshop on Bots in Software Engineering (BotSE) · doi:10.1109/botse59190.2023.00010 · Cited by 2

Erklärbarkeit und Transparenz im Machine Learning

Waltl, B. (2024) · Springer eBooks · doi:10.1007/978-3-658-19606-6_31 · Cited by 2

CoRgI: Cognitive Reasoning Interface

Segura, V., Ferreira, J. J., Fucs, A., Moreno, M. F., de Paula, R., & Cerqueira, R. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-91244-8_32 · Cited by 2

Towards Understanding Quality-Related Characteristics in Knowledge-Intensive Processes - A Systematic Literature Review

Simões, R. V., Melo, G., Abreu, F. B. E., & Oliveira, T. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-85347-1_15 · Cited by 2

An artefact-based workflow for finite element simulation studies

Ruscheinski, A., Wilsdorf, P., Zimmermann, J., van Rienen, U., & Uhrmacher, A. M. (2022) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2021.102464 · Cited by 2

What Automated Planning can do for Business Process ManagementPreprint

Marrella, A. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1709.10482 · Cited by 2

Technical Report: Refining Case Models Using Cardinality ConstraintsPreprint

Haarmann, S., Montali, M., & Weske, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.02245 · Cited by 2

Identifying Support for Knowledge-Intensive Processes in BPMN and its Extensions

Nunes, M., Pillat, R. M., & Oliveira, T. (2023) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.1145/3592813.3592937 · Cited by 1

Generating Event Logs from Hybrid Process Models

Alman, A., Maggi, F. M., Montali, M., & Rivkin, A. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-50974-2_22 · Cited by 1

Hybrides wissensbasiertes Reasoning Für wissensintensive Prozesse am Beispiel von Notrufabfragen

Rietzke, E., Maletzki, C., Grumbach, L., & Bergmann, R. (2025) · Springer eBooks · doi:10.1007/978-3-658-44781-6_13 · Cited by 1

Resolving the “three-fit” problems in enterprise information systems: a design science approach with ontological solutions

Hassen, M. B., Zahaf, S., & Gargouri, F. (2024) · Business Process Management Journal · doi:10.1108/bpmj-04-2024-0230 · Cited by 1

Service composition for ltl task specifications

Giacomo, G. D., Favorito, M., & Silo, L. (2025) · Information Systems · doi:10.1016/j.is.2025.102571 · Cited by 1

SIMPROV: Provenance capturing for simulation studies

Ruscheinski, A., Wolpers, A., Henning, P., Wilsdorf, P., & Uhrmacher, A. M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0327607 · Cited by 2

How People Manage Knowledge in Their “Second Brains” a Case Study with Industry Researchers Using Obsidian

Ferreira, J. J., Segura, V., de Souza, J. G. R., & Brasil, J. H. G. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05008-3_15 · Cited by 1

An Intentional Approach to the Engineering of Knowledge-intensive Service Systems

Lessard, L. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.528 · Cited by 1

An adaptive process management system implementation based on situation calculus, indigolog and classical planning

Marrella, A., Mecella, M., & Sardiña, S. (2016) · RMIT Research Repository (RMIT University Library) · doi:10.1000/1642faketemporaryforimport · Cited by 1

Präskriptive Entscheidungsunterstützung für wissensintensive Geschäftsprozesse

van Helden, A., Buck-Emden, R., & Alda, S. (2017) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-017-0361-y · Cited by 1

Handling the Dataflow in Business Process Models

Bruno, G. (2018) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-5225-5297-0.ch008 · Cited by 1

Mapping Knowledge Flows in ExploratoryWeb Searches

Tibau, M., Siqueira, S. W. M., & Nunes, B. P. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.669 · Cited by 1

Evaluating CMMN execution capabilities: An empirical assessment based on a Smart Farming case study

Νικολαϊδου, Μ., Koukoumtzis, S., Routis, I., & Bardaki, C. (2021) · IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) · doi:10.1109/ictmod52902.2021.9739482 · Cited by 1

Handling the Dataflow in Business Process Models

Bruno, G. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-9615-8.ch076 · Cited by 1

Extracting Reusable Fragments From Data-Centric Process Variants

Eshuis, R. (2022) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2022.3190987 · Cited by 1

Aplicação de BPM ágil na administração pública brasileira

Ramos, K. H. C., Alves, R. R., da Graça, G. A., & Almeida, D. D. C. L. (2023) · Revista de Ciências da Administração · doi:10.5007/2175-8077.2022.e84357 · Cited by 1

Model-Based Recommendations for Next-Best Actions in Knowledge-Intensive Processes

Seidel, A., Haarmann, S., & Weske, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-61057-8_12 · Cited by 1

Data-driven approaches to improving emergency response times and patient outcomes

Algfari, S. M., Alghamdi, A. S., Almuhaylib, A. M., Alzaher, ‏. A., Alotaibi, S. S., Alanazi, ‎. H., Alwaked, M. H., Al-Sharari, ‏. A., Alrashidi, A. A., Alrasheed, B. B., et al. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns10.15151 · Cited by 1

Guidance for goal achievement in knowledge-intensive processes using intuitionistic fuzzy sets

Yurt, Z. O., Eshuis, R., Wilbik, A., & Vanderfeesten, I. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125417 · Cited by 1

Looseness for Choreography-based Software Architectures on Blockchain

Corradini, F., Marcelletti, A., Morichetta, A., Polini, A., Re, B., & Tiezzi, F. (2025) · ACM Symposium on Applied Computing · doi:10.1145/3672608.3707865 · Cited by 1

Active-Workspaces: A Dynamic Collaborative Business Process Model for Disease Surveillance Systems

Nsaibirni, R., Badouel, É., Texier, G., & Kouamou, G. E. (2016) · HAL · Cited by 1

Adaptive Business Process Visualization for a Data and Constraint-Based Workflow Approach.

Rietzke, E., Bergmann, R., & Kühn, N. (2017) · LWDA · Cited by 1

Speech Acts Featuring Decisions in Knowledge-Intensive Processes

Barboza, T., Richetti, P. H. P., Baião, F., Santoro, F. M., Gonçalves, J. C., Revoredo, K. C., & Yeshchenko, A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-02671-4_13 · Cited by 1

Toward an Ontology for Improving Process Flexibility

Thuan, N. H., Phuong, H. A., George, M., Nkhoma, M. Z., & Antunes, P. A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-63924-2_24 · Cited by 1

Fragment-Based Case Management Models: Metamodel, Consistency, & Correctness.

Haarmann, S. (2021) · ZEUS · Cited by 1

Identifying Interaction and Awareness Services in Mobile Collaborative Applications

Canché, M., Ochoa, S. F., & Perovich, D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05014-5_1 · Cited by 1

Vpliv formalizacije v razvojnih procesih na profitabilnost podjetja

Zajec, M., & Roblek, M. (2022) · doi:10.18690/um.fov.7.2022.4 · Cited by 1

VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows

Baldazzi, T., Bellomarini, L., Coletta, A., Iezzi, M., Maple, C., Pesare, A., & Sallinger, E. (2026) · arXiv · doi:10.48550/arxiv.2606.22485

Konzeption und Realisierung fortschrittlicher aufgabenbasierter Koordinationsverfahren in mobilen

Bachelorarbeitan, A. (2015)

Evaluierung bestehender Konzepte für datenorientiertes Prozessmanagement

Popa, M. (2015)

Supporting and Assisting the Execution of Knowledge-Intensive Processes.

Mertens, S. (2015) · Ghent University Academic Bibliography (Ghent University)

Learn PAd : Collaborative and Model-based Learning in Public Administrations.

Bertolino, A., Angelis, G. D., Polini, A., & Šilingas, D. (2015) · Unicam Scientific Publications (University of Camerino)

The Role of Context Within the Interactions of Knowledge Intensive Processes

Gonçalves, J. C. D. A. R., Baião, F., & Santoro, F. M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-57837-8_39

Identifying Relevant Resources and Relevant Capabilities of Informal Processes

Sungur, C. T., Breitenbücher, U., Kopp, O., Leymann, F., & Weiß, A. (2017) · International Conference on Enterprise Information Systems · doi:10.5220/0006300702950307

Goal oriented variability management in model driven service engineering

Ponnalagu, K. (2016) · Research Online (University of Wollongong)

Taking Advantage of Business Process Management Approaches in Requirements Engineering.

Lederer, M., Schmidt, W., Fleischmann, A., & Avci, R. (2018)

Seleção de atributos para mineração de processos na gestão de incidentes

do Amaral, C. A. L. (2018) · doi:10.11606/d.100.2018.tde-23042018-160352

Discovery of Unstructured Business Processes Through Genetic Algorithms Using Activity Transitions-Based Completeness and Precision

Silva, G. L. C. D., Fantinato, M., Peres, S. M., & Reijers, H. A. (2018) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2018.8477795

Automatic Validation of Knowledge-intensive Process Models through Alloy

Barboza, T., Santoro, F. M., & Baião, F. (2018) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.1145/3229345.3229405

A Measurement Ontology for Beliefs, Desires, Intentions and Feelings within Knowledge-intensive Processes.

Richetti, P. H. P., & Baião, F. (2018) · ONTOBRAS

Exploratory Search as a Knowledge-intensive Process

Tibau, M., Siqueira, S. W. M., Baião, F., & Nunes, B. P. (2018) · Euro American Conference on Telematics and Information Systems · doi:10.1145/3293614.3293618

Process Execution in a Knowledge Management Environment

Szelągowski, M. (2019) · Lecture notes in networks and systems · doi:10.1007/978-3-030-17141-4_3

Retrieving Curated Stack Overflow Posts from Project Task Similarities (S)

Santos, G., Oliveira, T., Alencar, P., & Cowan, D. (2019) · Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering · doi:10.18293/seke2019-083

Supporting ED Process Redesign by Investigating Human Behaviors

Stefanini, A., Aloini, D., Gloor, P. A., & Pochiero, F. (2019) · Lecture notes in business information processing · doi:10.1007/978-3-030-37453-2_27

Decision support combining machine learning, knowledge representation and case-based reasoning

Mehli, C., Hinkelmann, K., & Jüngling, S. (2021) · UpSpace Institutional Repository (University of Pretoria) · doi:10.26041/fhnw-7090

Decision-support Simulation of Patient Treatment Process.

Maleki, C. (2021) · Ghent University Academic Bibliography (Ghent University)

ptpDG: A Purchase-To-Pay Dataset Generator for Evaluating Knowledge-Graph-Based Services.

Schulze, M., Schröder, M., Jilek, C., & Dengel, A. R. (2021)

Classifying Business Processes, A Novel Approach

Michael, O. (2021) · IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW) · doi:10.1109/edocw52865.2021.00064

Proceedings 38th International Conference on Logic Programming

Chiariello, F., Maggi, F. M., & Patrizi, F. (2022) · Electronic Proceedings in Theoretical Computer Science · doi:10.4204/eptcs.364.34

Emisije trdnih delcev ter njihov vpliv na kakovost zraka in zdravje

SENEGAČNIK, M. M., Jaklič, T. K., Vuk, D., Zajec, M., & Andrašec, E. K. (2022) · doi:10.18690/um.fov.7.2022.10

A Method for Integrated Modeling of KiPs and Contextual Goals

Yurt, Z. O., Eshuis, R., Aysolmaz, B., Wilbik, A., & Vanderfeesten, I. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-17834-4_20

Deviation from Standards and Performance in Knowledge-Intensive Processes: Evidence from the Process of Selling Customized IT Solutions

Monashev, M., Krčál, M., & Mendling, J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-41620-0_25

Towards a Measurement Instrument for Assessing Capabilities When Innovating Less-Structured Business Processes

Goni, J. I. C., & Looy, A. V. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-50974-2_18

Application of Artificial Intelligence in Heuristic Models for Process Improvement

Antal, K., & Szabó, Z. (2023) · International Conference on Software, Knowledge, Information Management and Applications (SKIMA) · doi:10.1109/skima59232.2023.10387343

Decision Mining in the Rail Industry: A Case Study in the Context of an Industrial Wheelset Revision Process

Hoornstra, B., Mens, J., Beerepoot, I., & van de Weerd, I. (2024) · doi:10.18690/um.fov.4.2024.27

ASSESSING THE ALIGNMENT OF BUSINESS PROCESS MANAGEMENT LIFECYCLE MODELS WITH THE PDCA CYCLE FOR DIGITAL TRANSFORMATION: A COMPARATIVE ANALYSIS

Shashyna, M. V., & Mamonova, N. (2024) · Efektyvna ekonomika · doi:10.32702/2307-2105.2024.7.36

PM4ILP: An Approach for the Identification and Improvement of Unstructured and Loosely Specified Processes

Rhif, M., Ghannouchi, S. A., & Missaoui, N. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-64847-2_36

Design Principles for Bots Supporting Case-Based Reasoning

Monashev, M., & Mendling, J. (2024) · Lecture notes in business information processing · doi:10.1007/978-3-031-70418-5_18

Advancing practice through design-science research: a tool for innovating less-structured business processes

Goni, J. I. C., & Looy, A. V. (2025) · Business Process Management Journal · doi:10.1108/bpmj-11-2024-1061

EM-BPMN4SBP: a BPMN extension methodology for sensitive business process specification

Hassen, M. B., & Gargouri, F. (2025) · Journal of Modelling in Management · doi:10.1108/jm2-06-2024-0185

Multi-dimensional Classification of Sensitive Business Process Modeling Aspects

Hassen, M. B., & Gargouri, F. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-78934-2_7

Looseness for Bpmn Choreographies on BlockchainPreprint

Corradini, F., Marcelletti, A., Morichetta, A., Polini, A., Re, B., & Tiezzi, F. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5371260

Synthesizing goal models from declarative data-centric process models

Eshuis, R., & Ghose, A. (2025) · Information Systems · doi:10.1016/j.is.2025.102626

Knowledge Graphs as Key Technology for Semantically Explainable Business Process Execution SupportPreprint

Bein, L., & Pufahl, L. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5865391

Data Integrity-by-Design: Combining Declarative Object-Centric Choreographies and Entity Relationship Models

Zuckmantel, T., López, H. A., Zhou, Y., Düdder, B., & Hildebrandt, T. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-15538-2_13

Méthode d'évaluation des algorithmes de détection temporelle des épidémies dans le cadre de l'alerte précoce

Texier, G. (2016) · doi:10.70675/0dfa0d40zc2f8z44a0z8a0cz20d37dae6b82

Towards a support system for simulation aided-design in the development phase of automotive industry

Fatfouta, N. (2020) · doi:10.70675/a68a7bfaz4ba6z4398za7f5za07de89175b5

Knowledge-intensive Processes: An Overview of Contemporary Approaches.

Ciccio, C. D., Marrella, A., & Russo, A. (2012) · IRIS Research product catalog (Sapienza University of Rome) · Cited by 46

Towards Understanding Quality-Related Characteristics in Knowledge-Intensive Processes - A Systematic Literature Review

Simões, R. V., Melo, G., Abreu, F. B. E., & Oliveira, T. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-85347-1_15 · Cited by 2

Knowledge-intensive Process: A Research Framework

Santoro, F. M., & Baião, F. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-74030-0_36 · Cited by 6

Towards characterizing Knowledge Intensive Processes

França, J. B. D. S., Baião, F., & Santoro, F. M. (2012) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd.2012.6221864 · Cited by 25

Measuring Performance in Knowledge-intensive Processes

Estrada-Torres, B., Richetti, P. H. P., del–Río–Ortega, A., Baião, F., Resinas, M., Santoro, F. M., & Ruiz–Cortés, A. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3289180 · Cited by 17