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2020 – today
- 2024
[j3]Robert Buchmann, Johann Eder, Hans-Georg Fill, Ulrich Frank, Dimitris Karagiannis, Emanuele Laurenzi, John Mylopoulos, Dimitris Plexousakis, Maribel Yasmina Santos
:
Large language models: Expectations for semantics-driven systems engineering. Data Knowl. Eng. 152: 102324 (2024)- [j2]Emanuele Laurenzi:
An Agile and Ontology-based Meta-Modelling Approach for the Design and Maintenance of Enterprise Knowledge Graph Schemas. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 19 (2024) - [c27]Emanuele Laurenzi, Adrian Mathys, Andreas Martin:
An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process. AAAI Spring Symposia 2024: 148-156 - [c26]Nehemiah Mung'Au, Emanuele Laurenzi:
An ontology-based meta-modelling approach for software test cases. BIR Workshops 2024: 201-212 - [c25]Arianna Fedeli, Martin Peraic, Emanuele Laurenzi, Andrea Polini:
AOAME4FloWare: ontology-based feature models for context-aware configurations in IoT applications. BIR Workshops 2024: 213-224 - [c24]Emanuele Laurenzi, James Allan, Nathalie Campos, Sascha Stoller:
An Ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems. CAiSE Workshops 2024: 200-211 - [c23]Wilhelm Düggelin, Emanuele Laurenzi:
A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks. RCIS (1) 2024: 66-81 - [e2]Václav Repa, Raimundas Matulevicius, Emanuele Laurenzi:
Perspectives in Business Informatics Research - 23rd International Conference on Business Informatics Research, BIR 2024, Prague, Czech Republic, September 11-13, 2024, Proceedings. Lecture Notes in Business Information Processing 529, Springer 2024, ISBN 978-3-031-71332-3 [contents] - [e1]Ana-Maria Ghiran, Anne Gutschmidt, Ulf Seigerroth, Kurt Sandkuhl, Marite Kirikova, Charles Møller, Robert Andrei Buchmann, Emanuele Laurenzi, Björn Johansson, Filip Vencovský:
Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024), Prague, Czech Republic, September 11, 2024. CEUR Workshop Proceedings 3804, CEUR-WS.org 2024 [contents] - 2023
- [j1]Emanuele Laurenzi:
Information Systems for Useful Innovation in Enterprises. Editorial Introduction to Issue 37 of CSIMQ. Complex Syst. Informatics Model. Q. 37: I-II (2023) - [c22]Dietrich Rordorf, Josua Käser, Alfredo Crego, Emanuele Laurenzi:
A Hybrid Intelligent Approach Combining Machine Learning and a Knowledge Graph to Support Academic Journal Publishers Addressing the Reviewer Assignment Problem (RAP). AAAI Spring Symposium: MAKE 2023 - [c21]Hans Friedrich Witschel, Emanuele Laurenzi, Stephan Jüngling, Y. Kadvany, A. Trojan:
An Early Warning System that combines Machine Learning and a Rule-Based Approach for the Prediction of Cancer Patients' Unplanned Visits. AAAI Spring Symposium: MAKE 2023 - [c20]Emanuele Laurenzi:
A Methodological approach for ontology-based meta-modelling. BIR Workshops 2023: 55-64 - [c19]Marco Mancuso, Emanuele Laurenzi:
An Approach for Knowledge Graphs-Based User Stories in Agile Methodologies. BIR 2023: 133-141 - [c18]Arianna Fedeli, Nils Beutling, Emanuele Laurenzi, Andrea Polini:
Comparison of general-purpose and domain-specific modelling languages in the IoT domain: A case study from the OMiLAB community. BIR Workshops 2023: 145-157 - [c17]Christian Schmid, Emanuele Laurenzi, Umberto Michelucci, Francesca Venturini:
Explainable AI for the Olive Oil Industry. BIR 2023: 158-171 - 2022
- [c16]Ryan Prater, Emanuele Laurenzi:
A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery. AAAI Spring Symposium: MAKE 2022 - [c15]Md Morshed Jaman Adnan, Knut Hinkelmann, Emanuele Laurenzi:
Detecting Early Warning Indicators of Covid-19 Pandemic in the Context of United States: An Exploratory Data Analysis. HCI (48) 2022: 389-396 - [c14]Nicolas C. Egger, Emanuele Laurenzi:
Value Creation Patterns for Industry-relevant Model-based Cyber-Physical Systems. MODELSWARD 2022: 364-370 - [p1]Emanuele Laurenzi, Oliver Ruggli, Alta van der Merwe:
BPMN4MoPla: Mobility Planning Based on Business Decision-Making. Domain-Specific Conceptual Modeling 2022: 617-638 - 2020
- [c13]Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Devid Montecchiari, Maja Spahic, Barbara Thönssen:
ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model. MODELSWARD 2020: 417-424
2010 – 2019
- 2019
- [c12]Emanuele Laurenzi, Knut Hinkelmann, Stephan Jüngling, Devid Montecchiari, Charuta Pande, Andreas Martin:
Towards an Assistive and Pattern Learning-driven Process Modeling Approach. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - 2018
- [c11]Emanuele Laurenzi, Knut Hinkelmann, Stefano Izzo, Ulrich Reimer, Alta van der Merwe:
Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation. CAiSE Workshops 2018: 222-234 - [c10]Emanuele Laurenzi, Knut Hinkelmann, Alta van der Merwe:
An Agile and Ontology-Aided Modeling Environment. PoEM 2018: 221-237 - 2017
- [c9]Kyriakos Kritikos, Emanuele Laurenzi, Knut Hinkelmann:
Towards Business-to-IT Alignment in the Cloud. ESOCC Workshops 2017: 35-52 - [c8]Ulrich Reimer, Emanuele Laurenzi, Edith Maier, Tom Ulmer:
Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters. HICSS 2017: 1-10 - [c7]Emanuele Laurenzi, Knut Hinkelmann, Ulrich Reimer, Alta van der Merwe, Pascal Sibold, Rainer Endl:
DSML4PTM - A Domain-Specific Modelling Language for Patient Transferal Management. ICEIS (3) 2017: 520-531 - 2016
- [c6]Knut Hinkelmann, Emanuele Laurenzi, Benjamin Lammel, Sabrina Kurjakovic, Robert Woitsch:
A Semantically-Enhanced Modelling Environment for Business Process as a Service. ES 2016: 143-152 - [c5]Knut Hinkelmann, Arianna Pierfranceschi, Emanuele Laurenzi:
The Knowledge Work Designer - Modelling Process Logic and Business Logic. Modellierung (Workshops) 2016: 135-140 - [c4]Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Barbara Thönssen, Hans Friedrich Witschel, Congyu Zhang:
An Ontology-Based and Case-Based Reasoning Supported Workplace Learning Approach. MODELSWARD (Revised Selected Papers) 2016: 333-354 - [c3]Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Barbara Thönssen, Hans Friedrich Witschel, Congyu Zhang:
Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning. MODELSWARD 2016: 753-763 - 2014
- [c2]Edith Maier, Ulrich Reimer, Emanuele Laurenzi, Monika Ridinger, Tom Ulmer:
SmartCoping - A Mobile Solution for Stress Recognition and Prevention. HEALTHINF 2014: 428-433 - 2012
- [c1]Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Barbara Thönssen:
Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technologies. IC3K 2012: 393-409
Coauthor Index
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