Research

AAAI 2011 Spring Symposium – Artificial Intelligence for Business Agility – March 21-23 at Stanford University, California USA

I am particularly interested in natural and artificial intelligence in an organisational environment. Consequently, my research is centred on (business) information systems supporting business processes in organisations and enterprises. In this manner, I regard information systems as communication, cooperation and partnership among humans and technology. My research is design science or action research-based, where I investigate how we can design information systems in a way that they provide a cognitive fit to human participants. To provide such an adequate and ideal situation, I focus on learning, knowledge, communication, modelling and digitalisation, including artificial intelligence covering machine learning and knowledge representation. My primary research topics are:

  • Artificial Intelligence: Case-based Reasoning and Machine Learning, Enterprise Knowledge Graphs and Representation, Enterprise Ontologies, Semantic AI/Web, Conversational AI including Chatbots and Dialogue Systems and Natural Language Processing (NLP).
  • Modelling: Business Processes and Workflows, Cognitive Fit, Mental Models, Agile Processes Mining and Knowledge Management and Engineering.

Editorial
Associate Editor of Applied Artificial Intelligence Journal
2024 – current
Publisher Taylor & Francis

Applied Artificial Intelligence, a peer-reviewed scientific journal covering applications of artificial intelligence in management, industry, engineering, administration, and education since 1987, Publisher Taylor & Francis.

Conference Organization
AAAI-MAKE 2024: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge
2024
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE) at Stanford University, California, USA on March 25-27, 2024.

The AAAI-MAKE 2024 symposium brings together a diverse community of researchers, practitioners, and industry professionals from the fields of machine learning, knowledge engineering, and large language models (LLMs) to explore the synergy between these domains. The symposium aims to address the critical challenges of trustworthiness, interpretability, and the integration of commonsense reasoning in AI systems.

AAAI-MAKE 2023: AAAI Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering
2023
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE) at Hyatt Regency, San Francisco Airport, California, USA on March 27-29, 2023.

The AAAI-MAKE 2023 symposium brings together researchers and practitioners from machine learning and knowledge engineering to reflect on how combining the two fields can contribute to tackling future societal, environmental, business, and fundamental AI challenges.

AAAI-MAKE 2022: AAAI Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence
2022
Association for the Advancement of Artificial Intelligence (AAAI)

Co-chair and member of the symposium organizing committee of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 21-23, 2022.

The AAAI-MAKE 2022 symposium aims to bring together researchers and practitioners from machine learning and knowledge engineering to reflect how combining the two fields can contribute to hybrid intelligence systems.

AAAI-MAKE 2021: AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering
2021
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 22-24, 2021.

AAAI-MAKE 2021 aims for bringing together practitioners and researchers from various companies, research centers, and academia of machine learning and knowledge engineering. Furthermore, participants should reflect on the progress made on combining machine learning and knowledge engineering approaches now two years later, after being raised in the AAAI spring symposium series in 2019 for the first time. The participants should continuously work together on joint AI for practice that is being explainable and grounded in domain knowledge. Last but not least, participants shall benefit from each other to avoid pitfalls on the one hand and provide the ground for synergetic co-operations to identify the most promising areas for better results. For more details, see www.aaai-make.info.

AAAI-MAKE 2019: AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering
2020
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 23-25, 2020.

This symposium brings together practitioners and researchers from various companies, research centers and academia of machine learning and knowledge engineering working together on joint AI that is being explainable and grounded in domain knowledge. For more details, see www.aaai-make.info.

AAAI-MAKE 2019: AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering
2019
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 25-27, 2019.

This symposium brings together researchers and practitioners from various communities of machine learning and knowledge engineering working together on joint AI that is explainable, compliant and grounded in domain knowledge. For more details, see 2019.aaai-make.info.

Publications

BibBase martin, a
generated by bibbase.org
  2025 (1)
Large Language Models for Democratizing Business Process Modeling: BPMN Model Generation and Style Guide Adherence. Wenger, S.; Spahic-Bogdanovic, M.; and Martin, A. In Gerber, A.; Maritz, J.; and Pillay, A. W., editor(s), Artificial Intelligence Research, volume 2326, pages 372–389. Springer Nature Switzerland, Cham, 2025. Series Title: Communications in Computer and Information Science
Large Language Models for Democratizing Business Process Modeling: BPMN Model Generation and Style Guide Adherence [link]Paper   Large Language Models for Democratizing Business Process Modeling: BPMN Model Generation and Style Guide Adherence [link] paper   doi   link   bibtex   2 downloads  
  2024 (5)
Reports of the Association for the Advancement of Artificial Intelligence’s 2024 Spring Symposium Series. Coates, J.; Goswami, M.; Kido, T.; Lawless, W.; Li, X.; MacLellan, C. J.; Martin, A.; Srivastava, S.; Stolle, R.; Takadama, K.; Verma, P.; Yang, J.; and Yap, M. Interactive AI Magazine, Association for the Advancement of Artificial Intelligence (AAAI). 2024.
Reports of the Association for the Advancement of Artificial Intelligence’s 2024 Spring Symposium Series [link]Paper   link   bibtex  
Semantic Verification in Large Language Model-based Retrieval Augmented Generation. Martin, A.; Witschel, H. F.; Mandl, M.; and Stockhecke, M. Proceedings of the AAAI Symposium Series, 3(1): 188–192. May 2024. Number: 1
Semantic Verification in Large Language Model-based Retrieval Augmented Generation [link]Paper   Semantic Verification in Large Language Model-based Retrieval Augmented Generation [link] paper   doi   link   bibtex   abstract   1 download  
ChEdBot: Designing a Domain-Specific Conversational Agent in a Simulational Learning Environment Using LLMs. Martin, A.; Pande, C.; Witschel, H. F.; and Mathez, J. Proceedings of the AAAI Symposium Series, 3(1): 180–187. May 2024. Number: 1
ChEdBot: Designing a Domain-Specific Conversational Agent in a Simulational Learning Environment Using LLMs [link]Paper   ChEdBot: Designing a Domain-Specific Conversational Agent in a Simulational Learning Environment Using LLMs [link] paper   doi   link   bibtex   abstract  
Domain-specific Embeddings for Question-Answering Systems: FAQs for Health Coaching. Martin, A.; Pande, C.; Schwander, S.; Ajuwon, A. J.; and Pimmer, C. Proceedings of the AAAI Symposium Series, 3(1): 175–179. May 2024. Number: 1
Domain-specific Embeddings for Question-Answering Systems: FAQs for Health Coaching [link]Paper   Domain-specific Embeddings for Question-Answering Systems: FAQs for Health Coaching [link] paper   doi   link   bibtex   abstract  
An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process. Laurenzi, E.; Mathys, A.; and Martin, A. Proceedings of the AAAI Symposium Series, 3(1): 148–156. May 2024. Number: 1
An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process [link]Paper   An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process [link] paper   doi   link   bibtex   abstract   2 downloads  
  2023 (9)
Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023). Martin, A.; Fill, H.; Gerber, A.; Hinkelmann, K.; Lenat, D.; Stolle, R.; and van Harmelen, F., editors. Volume 3433 CEUR-WS.org, 2023.
Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023) [link]Paper   link   bibtex   1 download  
Hybride Konversations-KI für intelligente Tutoring-Systeme. Martin, A.; and Witschel, H. F. In Luzern, January 2023. Verein Higher Education Management HEM
Hybride Konversations-KI für intelligente Tutoring-Systeme [link] paper   link   bibtex   2 downloads  
Visualisierung von Mustern für hybrides Lernen und Reasoning mit menschlicher Beteiligung. Witschel, H. F.; Pande, C.; Martin, A.; Laurenzi, E.; and Hinkelmann, K. In Dornberger, R., editor(s), Neue Trends in Wirtschaftsinformatik und eingesetzte Technologien, pages 205–217. Springer International Publishing, Cham, 2023.
Visualisierung von Mustern für hybrides Lernen und Reasoning mit menschlicher Beteiligung [link]Paper   Visualisierung von Mustern für hybrides Lernen und Reasoning mit menschlicher Beteiligung [link] paper   doi   link   bibtex   abstract   1 download  
AAAI-MAKE 2023 - Opening Talk. Martin, A. AAAI Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023). March 2023. Place: Hyatt Regency, San Francisco Airport, California, USA
AAAI-MAKE 2023 - Opening Talk [link]Paper   doi   link   bibtex   abstract  
A Flexible, Extendable and Adaptable Model to Support AI Coaching. Duhan, R.; Pande, C.; and Martin, A. In Hinkelmann, K.; López-Pellicer, F. J; and Polini, A., editor(s), Perspectives in Business Informatics Research, pages 172–187. Springer Nature Switzerland, Cham, 2023.
A Flexible, Extendable and Adaptable Model to Support AI Coaching [link]Paper   A Flexible, Extendable and Adaptable Model to Support AI Coaching [link] paper   doi   link   bibtex   abstract   1 download  
AAAI‐MAKE 2023: Challenges requiring the combination of machine learning and knowledge engineering. Martin, A. AI Magazine, 44(2): 204–205. June 2023. Publisher: John Wiley & Sons, Ltd
AAAI‐MAKE 2023: Challenges requiring the combination of machine learning and knowledge engineering [link]Paper   doi   link   bibtex  
Towards Hybrid Dialog Management Strategies for a Health Coach Chatbot. Pande, C.; Martin, A.; and Pimmer, C. In Martin, A.; Fill, H.; Gerber, A.; Hinkelmann, K.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023. CEUR-WS.org
Towards Hybrid Dialog Management Strategies for a Health Coach Chatbot [link]Paper   link   bibtex  
Challenges Requiring the Combination of Machine Learning and Knowledge Engineering. Martin, A. In Martin, A.; Fill, H.; Gerber, A.; Hinkelmann, K.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023), 2023. CEUR-WS.org
Challenges Requiring the Combination of Machine Learning and Knowledge Engineering [link]Paper   link   bibtex  
The Conversational AI Life-Cycle - Version 2. Martin, A. . April 2023.
The Conversational AI Life-Cycle - Version 2 [link]Paper   The Conversational AI Life-Cycle - Version 2 [link] paper   doi   link   bibtex  
  2022 (6)
Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-23, 2022. Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editors. Volume 3121 CEUR-WS.org, 2022.
Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-23, 2022 [link]Paper   link   bibtex  
New Hybrid Techniques for Business Recommender Systems. Pande, C.; Witschel, H. F.; and Martin, A. Applied Sciences, 12(10). 2022.
New Hybrid Techniques for Business Recommender Systems [link]Paper   New Hybrid Techniques for Business Recommender Systems [link] paper   doi   link   bibtex   abstract  
Reports of the Association for the Advancement of Artificial Intelligence’s 2022 Spring Symposium Series. Adler, A.; Crandall, J. W.; Goodrich, M. A.; Hinkelmann, K.; Kejriwal, M.; Kildebeck, E.; Martin, A.; and Shrivastava, A. Interactive AI Magazine, Association for the Advancement of Artificial Intelligence (AAAI). 2022.
Reports of the Association for the Advancement of Artificial Intelligence’s 2022 Spring Symposium Series [link]Paper   link   bibtex  
Business Recommender Systems. Pande, C.; Witschel, H. F.; and Martin, A. June 2022.
Business Recommender Systems [link]Paper   link   bibtex  
AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence. Martin, A.; and Hinkelmann, K. In Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), pages 1, Palo Alto, California, USA, 2022. CEUR-WS.org
AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence [link]Paper   AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence [link] paper   link   bibtex  
A Learning Tracker using Digital Biomarkers for Autistic Preschoolers. Sandhu, G.; Kilburg, A.; Martin, A.; Pande, C.; Witschel, H. F.; Laurenzi, E.; and Billing, E. In Hinkelmann, K.; and Gerber, A., editor(s), Proceedings of the Society 5.0 Conference 2022 - Integrating Digital World and Real World to Resolve Challenges in Business and Society, volume 84, pages 219–230, 2022. EasyChair Series Title: EPiC Series in Computing ISSN: 2398-7340
A Learning Tracker using Digital Biomarkers for Autistic Preschoolers [link]Paper   A Learning Tracker using Digital Biomarkers for Autistic Preschoolers [link] paper   doi   link   bibtex  
  2021 (7)
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021. Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editors. Volume 2846 CEUR-WS.org, 2021.
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021 [link]Paper   link   bibtex   1 download  
New Hybrid Techniques for Business Recommender Systems (Preprint). Pande, C.; Witschel, H. F.; and Martin, A. September 2021.
New Hybrid Techniques for Business Recommender Systems (Preprint) [link]Paper   link   bibtex   abstract  
Visualization of Patterns for Hybrid Learning and Reasoning with Human Involvement. Witschel, H. F.; Pande, C.; Martin, A.; Laurenzi, E.; and Hinkelmann, K. In Dornberger, R., editor(s), New Trends in Business Information Systems and Technology: Digital Innovation and Digital Business Transformation, pages 193–204. Springer International Publishing, Cham, 2021.
Visualization of Patterns for Hybrid Learning and Reasoning with Human Involvement [link]Paper   doi   link   bibtex   abstract  
Reports of the Association for the Advancement of Artificial Intelligence’s 2021 Spring Symposium Series. Adler, A.; Amato, C.; Caceres, R.; Darve, E.; Fill, H.; Greidinger, S.; Greiner, R.; Hinkelmann, K.; Kumar, N.; Lee, J.; Liu, Z.; Llinas, J.; Martin, A.; Nallur, V.; Eslami, M.; Oliehoek, F. A; Omidshafiei, S.; Puri, R.; Rahimi, S.; Rao, A.; Sabanovic, S.; Tuyls, K.; Xiao, X.; Yaman, F.; and Zhai, X. Interactive AI Magazine, Association for the Advancement of Artificial Intelligence (AAAI). 2021.
Reports of the Association for the Advancement of Artificial Intelligence’s 2021 Spring Symposium Series [link]Paper   link   bibtex   1 download  
Hybrid Conversational AI for Intelligent Tutoring Systems. Pande, C.; Witschel, H. H. F.; Martin, A.; and Montecchiari, D. In Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), volume 2846, Palo Alto, California, USA, 2021. CEUR-WS.org ISSN: 16130073
Hybrid Conversational AI for Intelligent Tutoring Systems [link]Paper   Hybrid Conversational AI for Intelligent Tutoring Systems [link] paper   link   bibtex   abstract   1 download  
ChEdventure - A Chatbot-based Educational Adventure Game for Modeling Tasks in Information Systems. Pande, C.; Witschel, H. F.; and Martin, A. In CONVERSATIONS 2021 – the 5th International Workshop on Chatbot Research, 2021.
ChEdventure - A Chatbot-based Educational Adventure Game for Modeling Tasks in Information Systems [link]Paper   ChEdventure - A Chatbot-based Educational Adventure Game for Modeling Tasks in Information Systems [link] paper   link   bibtex   abstract   1 download  
AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering. Martin, A.; and Hinkelmann, K. In Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), pages 1, Palo Alto, California, USA, 2021. CEUR-WS.org
AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering [link]Paper   AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering [link] paper   link   bibtex  
  2020 (4)
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, AAAI-MAKE 2020, Palo Alto, CA, USA, March 23-25, 2020, Volume I. Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editors. Volume 2600 CEUR-WS.org, 2020.
Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, AAAI-MAKE 2020, Palo Alto, CA, USA, March 23-25, 2020, Volume I [link]Paper   link   bibtex   1 download  
Towards AI-based Solutions in the System Development Lifecycle. Jüngling, S.; Peraic, M.; and Martin, A. In Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I, pages 6, Palo Alto, California, USA, 2020. CEUR-WS.org
Towards AI-based Solutions in the System Development Lifecycle [link]Paper   Towards AI-based Solutions in the System Development Lifecycle [link] paper   link   bibtex  
Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium. Martin, A.; and Hinkelmann, K. In Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I, pages 1, Palo Alto, California, USA, 2020. CEUR-WS.org
Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium [link]Paper   Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium [link] paper   link   bibtex   1 download  
ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model. Hinkelmann, K.; Laurenzi, E.; Martin, A.; Montecchiari, D.; Spahic, M.; and Thönssen, B. In Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development, pages 417–424, 2020. SCITEPRESS - Science and Technology Publications
ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model [link]Paper   ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model [link] paper   doi   link   bibtex   abstract  
  2019 (6)
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019), Stanford University, Palo Alto, California, USA, March 25-27, 2019. Martin, A.; Hinkelmann, K.; Gerber, A.; Lenat, D.; van Harmelen, F.; and Clark, P., editors. Volume 2350 CEUR-WS.org, 2019.
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019), Stanford University, Palo Alto, California, USA, March 25-27, 2019 [link]Paper   link   bibtex  
The Conversational AI Life-Cycle. Martin, A. . April 2019.
The Conversational AI Life-Cycle [link]Paper   The Conversational AI Life-Cycle [link] paper   doi   link   bibtex  
Towards An Assistive and Pattern Learning-driven Process Modeling Approach. Laurenzi, E.; Hinkelmann, K.; Jüngling, S.; Montecchiari, D.; Pande, C.; and Martin, A. In Martin, A.; Hinkelmann, K.; Gerber, A.; Lenat, D.; Harmelen, F. v.; and Clark, P., editor(s), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019), volume 2350, pages 6, Palo Alto, California, USA, 2019. CEUR-WS.org ISSN: 16130073
Towards An Assistive and Pattern Learning-driven Process Modeling Approach [link]Paper   Towards An Assistive and Pattern Learning-driven Process Modeling Approach [link] paper   link   bibtex   abstract  
Reports of the AAAI 2019 Spring Symposium Series. Baldini, I.; Barrett, C.; Chella, A.; Cinelli, C.; Gamez, D.; Gilpin, L.; Hinkelmann, K.; Holmes, D.; Kido, T.; Kocaoglu, M.; Lawless, W.; Lomuscio, A.; Macbeth, J.; Martin, A.; Mittu, R.; Patterson, E.; Sofge, D.; Tadepalli, P.; Takadama, K.; and Wilson, S. AI Magazine, 40(3): 59–66. September 2019.
Reports of the AAAI 2019 Spring Symposium Series [link]Paper   doi   link   bibtex   abstract  
Preface: Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019). Martin, A.; Hinkelmann, K.; Gerber, A.; Lenat, D.; van Harmelen, F.; and Clark, P. In Martin, A.; Hinkelmann, K.; Gerber, A.; Lenat, D.; Harmelen, F. v.; and Clark, P., editor(s), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019), pages 1, Palo Alto, California, USA, 2019. CEUR-WS.org
Preface: Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) [link]Paper   Preface: Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) [link] paper   link   bibtex  
Learning and Engineering Similarity Functions for Business Recommenders. Witschel, H. H. F.; and Martin, A. In Martin, A.; Hinkelmann, K.; Gerber, A.; Lenat, D.; Harmelen, F. v.; and Clark, P., editor(s), Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019), volume 2350, pages 6, Palo Alto, California, USA, 2019. CEUR-WS.org ISSN: 16130073
Learning and Engineering Similarity Functions for Business Recommenders [link]Paper   Learning and Engineering Similarity Functions for Business Recommenders [link] paper   link   bibtex   abstract   1 download  
  2018 (4)
Ontology-Based Metamodeling. Hinkelmann, K.; Laurenzi, E.; Martin, A.; and Thönssen, B. In Dornberger, R., editor(s), Business Information Systems and Technology 4.0: New Trends in the Age of Digital Change, pages 177–194. Springer International Publishing, Cham, 2018.
Ontology-Based Metamodeling [link]Paper   Ontology-Based Metamodeling [link] paper   doi   link   bibtex   abstract  
Case-Based Reasoning for Process Experience. Martin, A.; and Hinkelmann, K. In Dornberger, R., editor(s), Business Information Systems and Technology 4.0: New Trends in the Age of Digital Change, pages 47–63. Springer International Publishing, Cham, 2018.
Case-Based Reasoning for Process Experience [link]Paper   Case-Based Reasoning for Process Experience [link] paper   doi   link   bibtex   abstract  
Training and Re-using Human Experience: A Recommender for More Accurate Cost Estimates in Project Planning. Von Rohr, C. R.; Witschel, H. F.; and Martin, A. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, volume 3, pages 52–62, 2018. INSTICC
Training and Re-using Human Experience: A Recommender for More Accurate Cost Estimates in Project Planning [link]Paper   Training and Re-using Human Experience: A Recommender for More Accurate Cost Estimates in Project Planning [link] paper   doi   link   bibtex   abstract  
Random Walks on Human Knowledge: Incorporating Human Knowledge into Data-Driven Recommenders. Witschel, H. H. F.; and Martin, A. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, volume 3, pages 63–72, 2018. INSTICC
Random Walks on Human Knowledge: Incorporating Human Knowledge into Data-Driven Recommenders [link]Paper   Random Walks on Human Knowledge: Incorporating Human Knowledge into Data-Driven Recommenders [link] paper   doi   link   bibtex   abstract   1 download  
  2017 (2)
A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management. Martin, A.; Emmenegger, S.; Hinkelmann, K.; and Thönssen, B. Enterprise Information Systems, 11(4): 551–575. April 2017.
A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management [link]Paper   A viewpoint-based case-based reasoning approach utilising an enterprise architecture ontology for experience management [link] paper   doi   link   bibtex   abstract  
An Ontology-based and Case-based Reasoning supported Workplace Learning Approach. Emmenegger, S.; Hinkelmann, K.; Laurenzi, E.; Martin, A.; Thönssen, B.; Witschel, H. H. F.; and Zhang, C. In Model-Driven Engineering and Software Development, Communications in Computer and Information Science (CCIS), In Press, volume 692, pages 23. Springer Berlin / Heidelberg, 2017. ISSN: 18650929
An Ontology-based and Case-based Reasoning supported Workplace Learning Approach [link]Paper   doi   link   bibtex   abstract  
  2016 (2)
A combined Case-Based Reasoning and Process Execution Approach for Knowledge-Intensive Work. Martin, A. Ph.D. Thesis, University of South Africa, 2016.
A combined Case-Based Reasoning and Process Execution Approach for Knowledge-Intensive Work [link]Paper   A combined Case-Based Reasoning and Process Execution Approach for Knowledge-Intensive Work [link] paper   link   bibtex   abstract   3 downloads  
A Case Modelling Language for Process Variant Management in Case-Based Reasoning. Cognini, R.; Hinkelmann, K.; and Martin, A. In Reichert, M.; and Reijers, A H., editor(s), Business Process Management Workshops: BPM 2015, 13th International Workshops, AdaptiveCM 2015: 4th International Workshop on Adaptive Case Management and other non-workflow approaches to BPM, Innsbruck, Austria, August 31 – September 3, 2015, Revised Pa, pages 30–42. Springer International Publishing, Cham, 2016.
A Case Modelling Language for Process Variant Management in Case-Based Reasoning [link]Paper   doi   link   bibtex   1 download  
  2015 (1)
A new Retrieval Function for Ontology-Based Complex Case Descriptions. Witschel, H. F.; Martin, A.; Emmenegger, S.; and Lutz, J. In International Workshop Case-Based Reasoning CBR-MD 2015, Hamburg, 2015. ibai-publishing
A new Retrieval Function for Ontology-Based Complex Case Descriptions [link] paper   link   bibtex   abstract  
  2013 (2)
Integrating an enterprise architecture ontology in a case-based reasoning approach for project knowledge. Martin, A.; Emmenegger, S.; and Wilke, G. In Proceedings of the First International Conference on Enterprise Systems: ES 2013, pages 1–12, Cape Town, November 2013. IEEE
Integrating an enterprise architecture ontology in a case-based reasoning approach for project knowledge [link]Paper   Integrating an enterprise architecture ontology in a case-based reasoning approach for project knowledge [link] paper   doi   link   bibtex  
Wissensarbeit ist nicht Routinearbeit. Martin, A. UnternehmerZeitung (UZ),32–33. 2013.
Wissensarbeit ist nicht Routinearbeit [link]Paper   Wissensarbeit ist nicht Routinearbeit [link] paper   link   bibtex   abstract  
  2011 (2)
Mining of Agile Business Processes. Brander, S.; Hinkelmann, K.; Martin, A.; and Thönssen, B. In 2011 AAAI Spring Symposium Series, volume SS-11-03, pages 9–14, 2011.
Mining of Agile Business Processes [link]Paper   Mining of Agile Business Processes [link] paper   link   bibtex   abstract  
Refining Process Models through the Analysis of Informal Work Practice. Brander, S.; Hinkelmann, K.; Hu, B.; Martin, A.; Riss, U. U.; Thönssen, B.; and Witschel, H. F. In Rinderle-Ma, S.; Toumani, F.; and Wolf, K., editor(s), Business Process Management, volume 6896, pages 116–131, 2011. Springer Berlin / Heidelberg Series Title: Lecture Notes in Computer Science ISSN: 03029743
Refining Process Models through the Analysis of Informal Work Practice [link]Paper   Refining Process Models through the Analysis of Informal Work Practice [link] paper   doi   link   bibtex   abstract  
  2010 (3)
Linked Enterprise Models and Objects providing Context and Content for creating Metadata. Martin, A. 2010. Pages: 133
Linked Enterprise Models and Objects providing Context and Content for creating Metadata [link] paper   link   bibtex   abstract  
Agile Process Execution with KISSmir. Martin, A.; and Brun, R. In 5th International Workshop on Semantic Business Process Management collocated with 7th Extended Semantic Web Conference, volume 682, Heraklion, Greece, 2010. ISSN: 16130073
Agile Process Execution with KISSmir [link] paper   link   bibtex   abstract  
A Collaborative Approach to Maturing Process-related Knowledge. Witschel, H. F.; Hu, B.; Riss, U. V. U.; Thönssen, B.; Brun, R.; Martin, A.; and Hinkelmann, K. In In Proceedings of the 8th International Conference on Business Process Management, volume 6336 LNCS, New York, USA, 2010. Springer ISSN: 16113349
A Collaborative Approach to Maturing Process-related Knowledge [link] paper   doi   link   bibtex   abstract  
  2009 (2)
Support Knowledge Intensive Work with Semantic Technologies. Brun, R.; and Martin, A. In International Business Informatics Challenge and Conference 2009, Dublin, Ireland, 2009.
Support Knowledge Intensive Work with Semantic Technologies [link] paper   link   bibtex   abstract  
Applying Organizational Learning to Enterprise Knowledge Maturing. Martin, A.; and Brun, R. In Proceedings of IKNOW ’09 and ISEMANTICS ’09, pages 39–50, Graz, Austria, 2009.
Applying Organizational Learning to Enterprise Knowledge Maturing [link] paper   link   bibtex   abstract  
  2008 (1)
Evaluation eines Petri-Netz/XPDL-basierten Ansatzes zur Implementierung von Geschäftsprozessen. Martin, A. 2008.
Evaluation eines Petri-Netz/XPDL-basierten Ansatzes zur Implementierung von Geschäftsprozessen [link]Paper   Evaluation eines Petri-Netz/XPDL-basierten Ansatzes zur Implementierung von Geschäftsprozessen [link] paper   link   bibtex   abstract