Division Supply Chain Services at Fraunhofer IIS
Division Supply Chain Services at Fraunhofer IIS

Prof. Dr. Andreas Harth

Head of department »Data Spaces and IoT Solutions«

»In the future, it will no longer be the functioning individual system that is decisive for the success of a company, but the pure data itself, which must be available detached from its original application and system context for purposes that are constantly being redefined.«
Prof. Dr. Andreas Harth

Prof. Dr. Andreas Harth is researching the development of new solutions for data spaces and IoT that allow data to be processed independently of its original application and system context and thus making it portable. His research focuses on the development of methods and technologies for decentralized information systems, such as in the World Wide Web or in blockchain environments, as well as their use in companies. In numerous research projects involving industry, he has investigated the integration of data, e.g. using Semantic Web and Linked Data technologies, as well as the interaction of components, e.g. using process modeling languages. Applications of these methods and technologies can be found in the Internet of Things, the Web of Things and in the field of Industry 4.0.

Computer scientist Andreas Harth (born in 1976) completed his doctorate at the Digital Enterprise Research Institute at the National University of Ireland, Galway and his habilitation at the Karlsruhe Institute of Technology. Teaching and research stays have taken him to the universities of Heidelberg, Innsbruck, Stanford and Southern California. Prof. Harth has held the  Chair of Information Systems, especially Technical Information Systems at the Friedrich-Alexander-Universität Erlangen-Nürnberg, combined with the management of the department Data Spaces and IoT Solutions at the working group for Supply Chain Services at Fraunhofer IIS in Nuremberg. He is also a member of the program committee of numerous international conferences and a reviewer for several journals.

Foto Prof. Dr. Andreas Harth im Hochformat
© Giulia Iannicelli
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In the age of big data, it is no longer functioning individual systems that are crucial to a company's success, but the data and its interpreted use in the overall networked system. However, for business processes to run securely and quickly even in such complex scenarios and for the necessary data to be used flexibly, consistent data is required that is available in real time wherever possible. To achieve this, data must be processed independently of its original use and technology. Andreas Harth develops suitable methods for obtaining, evaluating and interpreting data and uses rapid IoT prototyping to make the digital transformation of the company as simple and efficient as possible.

Personal research focus:

  • Data integration, Semantic Web, Linked Data, knowledge graphs
  • Development of methods and technologies for decentralized information systems, e.g. in the World Wide Web or in blockchain environments, and their use in companies

since 2018
Holder of the Chair of Information Systems, in particular Technical Information Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg and Head of the Data Spaces and IoT Solutions department of the Supply Chain Services SCS working group

2016
Habilitation with the title »Link Traversal and Reasoning in Dynamic Linked Data Knowledge Bases« at the Institute for Applied Informatics and Formal Description Methods (AIFB) of the Karlsruhe Institute of Technology

2010
Promotion am Digital Enterprise Research Institute in Galway, Irland

Here you will find a small selection of current references of Prof. Dr. Andreas Harth. An overview of further references and publications can also be found here.
 

Publications:

van den Brink, L.; Barnaghi, P.; Tandy, J.; Atemezing, G.; Atkinson, R.; Cochrane, B.; Fathy, Y.; García Castro, R.; Haller, A.; Harth, A.; Janowicz, K.; Kolozali, S.; van Leeuwen, B.; Lefrançois, M.; Lieberman, J.; Perego, A.; Le Phuoc, D.; Roberts, B.; Taylor, K.; Troncy, R. (2019). Best practices for publishing, retrieving, and using spatial data on the web. In: Semantic Web, 10(1), S. 95-114.

Thoma, S.; Thalhammer, A.; Harth, A.; Studer, R. (2019). FusE: Entity-Centric Data Fusion on Linked Data. In: Acm Transactions on the Web, 13(2), https://doi.org/10.1145/3306128

Käfer, T.; Harth, A. (2018). Specifying, Monitoring, and Executing Workflows in Linked Data Environments. In: The Semantic Web – ISWC 2018, https://doi.org/10.1007/978-3-030-00671-6_25

Bischof, S.; Harth, A.; Kämpgen, B.; Polleres, A.; Schneider, P. (2018). Enriching integrated statistical open city data by combining equational knowledge and missing value imputation. In: Journal of Web Semantics, January 2018, S. 22-47. https://doi.org/10.1016/j.websem.2017.09.003

Harth, A.; Umbrich, J.; Hogan, A.; Decker, S. (2007). YARS2: A Federated Repository for Querying Graph Structured Data from the Web. In: Aberer K. et al. (Hg.): The Semantic Web. ISWC 2007, ASWC 2007. Lecture Notes in Computer Science, Vol. 4825, S. 211-224.

Breslin, J. G.; Harth, A.; Bojars, U.; Decker, S. (2005). Towards Semantically-Interlinked Online Communities. In: A. Gómez-Pérez, J. Euzenat (Hg.): The Semantic Web: Research and Applications. ESWC 2005. Lecture Notes in Computer Science, Vol. 3532, S. 500-514.
 

Lectures:

iSLT.NET: Saving money by launching your containers into the cloud (2020)
Annual Conference of CSCMP, Online.

Specifying, Monitoring, and Executing Workflows in Linked Data Environments (2018)
zusammen mit T. Käfer, International Semantic Web Conference 2018 (ISWC 2018), Monterey, California, USA.

Theories about World Representations for the Internet of Things (2018)
zusammen mit M. Färber und Y. Svetashova, Workshop on Concepts in Action: Representation, Learning, and Application (CARLA), Osnabrück.

Optimized index structures for querying RDF from the Web (2005)
zusammen mit S. Decker,  Third Latin American Web Congress (LA-WEB'2005), Buenos Aires, Argentinien.
 

Projects:

  • i-VISION (virtual aircraft cockpit design, short video project overview)
  • ARVIDA (reference architecture for virtual services and applications)
  • PlanetData (large-scale data management)
  • NeOn, DIP, TripCom, Lion/Lion2 (Ireland)
  • MEREGIOmobil und iZeus (Smart Energy Grid Projects)

 

Interviews: