Emanuele Laurenzi

According to our database, Emanuele Laurenzi authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks.

Wilhelm Düggelin, Emanuele Laurenzi

Proceedings of the Research Challenges in Information Science, 2024

An Ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems.

Emanuele Laurenzi, James Allan, Nathalie Campos, Sascha Stoller

Proceedings of the Advanced Information Systems Engineering Workshops, 2024

An ontology-based meta-modelling approach for software test cases.

Nehemiah Mung'Au, Emanuele Laurenzi

Proceedings of the Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024), 2024

AOAME4FloWare: ontology-based feature models for context-aware configurations in IoT applications.

Arianna Fedeli, Martin Peraic, Emanuele Laurenzi, Andrea Polini

Proceedings of the Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024), 2024

An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process.

Emanuele Laurenzi, Adrian Mathys, Andreas Martin

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

Information Systems for Useful Innovation in Enterprises. Editorial Introduction to Issue 37 of CSIMQ.

Emanuele Laurenzi

Complex Syst. Informatics Model. Q., 2023

Explainable AI for the Olive Oil Industry.

Christian Schmid, Emanuele Laurenzi, Umberto Michelucci, Francesca Venturini

Proceedings of the Perspectives in Business Informatics Research, 2023

An Approach for Knowledge Graphs-Based User Stories in Agile Methodologies.

Marco Mancuso, Emanuele Laurenzi

Proceedings of the Perspectives in Business Informatics Research, 2023

A Methodological approach for ontology-based meta-modelling.

Emanuele Laurenzi

Proceedings of the Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023), 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

Proceedings of the Joint Proceedings of the BIR 2023 Workshops and Doctoral Consortium co-located with 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023), 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, A. Trojan

Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

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

Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023

2022

Value Creation Patterns for Industry-relevant Model-based Cyber-Physical Systems.

Nicolas C. Egger, Emanuele Laurenzi

Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development, 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

Proceedings of the HCI International 2022 - Late Breaking Posters, 2022

A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery.

Ryan Prater, Emanuele Laurenzi

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

BPMN4MoPla: Mobility Planning Based on Business Decision-Making.

Emanuele Laurenzi, Oliver Ruggli, Alta van der Merwe

Proceedings of the Domain-Specific Conceptual Modeling - Concepts, Methods and ADOxx Tools, 2022

2020

ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model.

Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Devid Montecchiari, Maja Spahic, Barbara Thönssen

Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development, 2020

2019

Towards an Assistive and Pattern Learning-driven Process Modeling Approach.

Emanuele Laurenzi, Knut Hinkelmann, Stephan Jüngling, Devid Montecchiari, Charuta Pande, Andreas Martin

Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018

An Agile and Ontology-Aided Modeling Environment.

Emanuele Laurenzi, Knut Hinkelmann, Alta van der Merwe

Proceedings of the Practice of Enterprise Modeling - 11th IFIP WG 8.1. Working Conference, PoEM 2018, Vienna, Austria, October 31, 2018

Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation.

Emanuele Laurenzi, Knut Hinkelmann, Stefano Izzo, Ulrich Reimer, Alta van der Merwe

Proceedings of the Advanced Information Systems Engineering Workshops, 2018

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

Proceedings of the ICEIS 2017, 2017

Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters.

Ulrich Reimer, Emanuele Laurenzi, Edith Maier, Tom Ulmer

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Towards Business-to-IT Alignment in the Cloud.

Kyriakos Kritikos, Emanuele Laurenzi, Knut Hinkelmann

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2017

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

Proceedings of the MODELSWARD 2016, 2016

An Ontology-Based and Case-Based Reasoning Supported Workplace Learning Approach.

Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Barbara Thönssen, Hans Friedrich Witschel, Congyu Zhang

Proceedings of the Model-Driven Engineering and Software Development, 2016

The Knowledge Work Designer - Modelling Process Logic and Business Logic.

Knut Hinkelmann, Arianna Pierfranceschi, Emanuele Laurenzi

Proceedings of the Modellierung 2016, 2.-4. März 2016, Karlsruhe - Workshopband, 2016

A Semantically-Enhanced Modelling Environment for Business Process as a Service.

Knut Hinkelmann, Emanuele Laurenzi, Benjamin Lammel, Sabrina Kurjakovic, Robert Woitsch

Proceedings of the 4th International Conference on Enterprise Systems, 2016

2014

SmartCoping - A Mobile Solution for Stress Recognition and Prevention.

Edith Maier, Ulrich Reimer, Emanuele Laurenzi, Monika Ridinger, Tom Ulmer

Proceedings of the HEALTHINF 2014, 2014

2012

Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technologies.

Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Barbara Thönssen

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2012