Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technologies. - Sandro Emmenegger; Knut Hinkelmann; Emanuele Laurenzi; Barbara Thönssen (IC3K, 2012)

SmartCoping - A Mobile Solution for Stress Recognition and Prevention. - Edith Maier; Ulrich Reimer; Emanuele Laurenzi; Monika Ridinger; Tom Ulmer (HEALTHINF, 2014)

A Semantically-Enhanced Modelling Environment for Business Process as a Service. - Knut Hinkelmann; Emanuele Laurenzi; Benjamin Lammel; Sabrina Kurjakovic; Robert Woitsch (ES, 2016)

The Knowledge Work Designer - Modelling Process Logic and Business Logic. - Knut Hinkelmann; Arianna Pierfranceschi; Emanuele Laurenzi (Modellierung (Workshops), 2016)

An Ontology-Based and Case-Based Reasoning Supported Workplace Learning Approach. - Sandro Emmenegger; Knut Hinkelmann; Emanuele Laurenzi; Andreas Martin 001; Barbara Thönssen; Hans Friedrich Witschel; Congyu Zhang (MODELSWARD (Revised Selected Papers), 2016)

Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning. - Sandro Emmenegger; Knut Hinkelmann; Emanuele Laurenzi; Barbara Thönssen; Hans Friedrich Witschel; Congyu Zhang (MODELSWARD, 2016)

Towards Business-to-IT Alignment in the Cloud. - Kyriakos Kritikos; Emanuele Laurenzi; Knut Hinkelmann (ESOCC Workshops, 2017)

Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters. - Ulrich Reimer; Emanuele Laurenzi; Edith Maier; Tom Ulmer (HICSS, 2017)

DSML4PTM - A Domain-Specific Modelling Language for Patient Transferal Management. - Emanuele Laurenzi; Knut Hinkelmann; Ulrich Reimer; Alta van der Merwe; Pascal Sibold; Rainer Endl (ICEIS (3), 2017)

Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation. - Emanuele Laurenzi; Knut Hinkelmann; Stefano Izzo; Ulrich Reimer; Alta van der Merwe (CAiSE Workshops, 2018)

An Agile and Ontology-Aided Modeling Environment. - Emanuele Laurenzi; Knut Hinkelmann; Alta van der Merwe (PoEM, 2018)

Towards an Assistive and Pattern Learning-driven Process Modeling Approach. - Emanuele Laurenzi; Knut Hinkelmann; Stephan Jüngling; Devid Montecchiari; Charuta Pande; Andreas Martin 001 (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2019)

ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model. - Knut Hinkelmann; Emanuele Laurenzi; Andreas Martin 001; Devid Montecchiari; Maja Spahic; Barbara Thönssen (MODELSWARD, 2020)

A Knowledge Base About Non-pharmaceutical Interventions to Support Hospitals in Responding to Pandemic Situations. - Franck Polin; Emanuele Laurenzi (Society 5.0, 2021)

BPMN4MoPla: Mobility Planning Based on Business Decision-Making. - Emanuele Laurenzi; Oliver Ruggli; Alta van der Merwe (Domain-Specific Conceptual Modeling, 2022)

A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery. - Ryan Prater; Emanuele Laurenzi (AAAI Spring Symposium: MAKE, 2022)

Detecting Early Warning Indicators of Covid-19 Pandemic in the Context of United States: An Exploratory Data Analysis. - Md Morshed Jaman Adnan; Knut Hinkelmann; Emanuele Laurenzi (HCI (48), 2022)

Value Creation Patterns for Industry-relevant Model-based Cyber-Physical Systems. - Nicolas C. Egger; Emanuele Laurenzi (MODELSWARD, 2022)

A Hybrid Intelligent Approach Combining Machine Learning and a Knowledge Graph to Support Academic Journal Publishers Addressing the Reviewer Assignment Problem (RAP). - Dietrich Rordorf; Josua Käser; Alfredo Crego; Emanuele Laurenzi (AAAI Spring Symposium: MAKE, 2023)

An Early Warning System that combines Machine Learning and a Rule-Based Approach for the Prediction of Cancer Patients' Unplanned Visits. - Hans Friedrich Witschel; Emanuele Laurenzi; Stephan Jüngling; Y. Kadvany; Andreas Trojan (AAAI Spring Symposium: MAKE, 2023)

Comparison of general-purpose and domain-specific modelling languages in the IoT domain: A case study from the OMiLAB community. - Arianna Fedeli; Nils Beutling; Emanuele Laurenzi; Andrea Polini (BIR Workshops, 2023)

A Methodological approach for ontology-based meta-modelling. - Emanuele Laurenzi (BIR Workshops, 2023)

An Approach for Knowledge Graphs-Based User Stories in Agile Methodologies. - Marco Mancuso; Emanuele Laurenzi (BIR, 2023)

Explainable AI for the Olive Oil Industry. - Christian Schmid; Emanuele Laurenzi; Umberto Michelucci; Francesca Venturini (BIR, 2023)

Information Systems for Useful Innovation in Enterprises. Editorial Introduction to Issue 37 of CSIMQ. - Emanuele Laurenzi (Complex Syst. Informatics Model. Q., 2023)

An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process. - Emanuele Laurenzi; Adrian Mathys; Andreas Martin 001 (AAAI Spring Symposia, 2024)

AOAME4FloWare: ontology-based feature models for context-aware configurations in IoT applications. - Arianna Fedeli; Martin Peraic; Emanuele Laurenzi; Andrea Polini (BIR Workshops, 2024)

An ontology-based meta-modelling approach for software test cases. - Nehemiah Mung'Au; Emanuele Laurenzi (BIR Workshops, 2024)

An Ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems. - Emanuele Laurenzi; James Allan; Nathalie Campos; Sascha Stoller (CAiSE Workshops, 2024)

A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks. - Wilhelm Düggelin; Emanuele Laurenzi (RCIS (1), 2024)

A Decision-Support Approach for University Incubators. - Emanuele Laurenzi; Dario Meyer; Patrick Moesch (Society 5.0, 2024)

Large language models: Expectations for semantics-driven systems engineering. - Robert Buchmann; Johann Eder; Hans-Georg Fill; Ulrich Frank; Dimitris Karagiannis; Emanuele Laurenzi; John Mylopoulos; Dimitris Plexousakis; Maribel Yasmina Santos (Data Knowl. Eng., 2024)

An Agile and Ontology-based Meta-Modelling Approach for the Design and Maintenance of Enterprise Knowledge Graph Schemas. - Emanuele Laurenzi (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2024)

Towards an early warning system for monitoring of cancer patients using hybrid interactive machine learning. - Andreas Trojan; Emanuele Laurenzi; Stephan Jüngling; Sven Roth; Michael Kiessling; Ziad Atassi; Yannick Kadvany; Meinrad Mannhart; Christian Jackisch; Gerd Kullak-Ublick; Hans Friedrich Witschel (Frontiers Digit. Health, 2024)

AOAME: An Enterprise Knowledge Graphs Editor for Domain Experts. - Emanuele Laurenzi (CAiSE Forum, 2025)