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@Inproceedings { 2020_gleim_factdag_provenance,
   title = {Expressing FactDAG Provenance with PROV-O},
   year = {2020},
   month = {11},
   day = {1},
   volume = {2821},
   pages = {53-58},
   abstract = {To foster data sharing and reuse across organizational boundaries, provenance tracking is of vital importance for the establishment of trust and accountability, especially in industrial applications, but often neglected due to associated overhead. The abstract FactDAG data interoperability model strives to address this challenge by simplifying the creation of provenance-linked knowledge graphs of revisioned (and thus immutable) resources. However, to date, it lacks a practical provenance implementation.
In this work, we present a concrete alignment of all roles and relations in the FactDAG model to the W3C PROV provenance standard, allowing future software implementations to directly produce standard-compliant provenance information. Maintaining compatibility with existing PROV tooling, an implementation of this mapping will pave the way for practical FactDAG implementations and deployments, improving trust and accountability for Open Data through simplified provenance management.},
   keywords = {Provenance; Data Lineage; Open Data; Semantic Web Technologies; Ontology Alignment; PROV; RDF; Industry 4.0; Internet of Production; IIoT},
   tags = {internet-of-production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-factdag-provenance.pdf},
   publisher = {CEUR Workshop Proceedings},
   booktitle = {Proceedings of the 6th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW '20), co-located with the 19th International Semantic Web Conference (ISWC '20), November 1-6, 2020, Athens, Greece,},
   event_place = {Athens, Greece},
   event_date = {November 1-6, 2020},
   ISSN = {1613-0073},
   reviewed = {1},
   author = {Gleim, Lars and Tirpitz, Liam and Pennekamp, Jan and Decker, Stefan}
}

@Article { 2020_gleim_factDAG,
   title = {FactDAG: Formalizing Data Interoperability in an Internet of Production},
   journal = {IEEE Internet of Things Journal},
   year = {2020},
   month = {4},
   day = {14},
   volume = {7},
   number = {4},
   pages = {3243-3253},
   abstract = {In the production industry, the volume, variety and velocity of data as well as the number of deployed protocols increase exponentially due to the influences of IoT advances. While hundreds of isolated solutions exist to utilize this data, e.g., optimizing processes or monitoring machine conditions, the lack of a unified data handling and exchange mechanism hinders the implementation of approaches to improve the quality of decisions and processes in such an interconnected environment.
The vision of an Internet of Production promises the establishment of a Worldwide Lab, where data from every process in the network can be utilized, even interorganizational and across domains. While numerous existing approaches consider interoperability from an interface and communication system perspective, fundamental questions of data and information interoperability remain insufficiently addressed.
In this paper, we identify ten key issues, derived from three distinctive real-world use cases, that hinder large-scale data interoperability for industrial processes. Based on these issues we derive a set of five key requirements for future (IoT) data layers, building upon the FAIR data principles. We propose to address them by creating FactDAG, a conceptual data layer model for maintaining a provenance-based, directed acyclic graph of facts, inspired by successful distributed version-control and collaboration systems. Eventually, such a standardization should greatly shape the future of interoperability in an interconnected production industry.},
   keywords = {Data Management; Data Versioning; Interoperability; Industrial Internet of Things; Worldwide Lab},
   tags = {internet-of-production},
   url = {https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-iotj-iop-interoperability.pdf},
   publisher = {IEEE},
   ISSN = {2327-4662},
   DOI = {10.1109/JIOT.2020.2966402},
   reviewed = {1},
   author = {Gleim, Lars and Pennekamp, Jan and Liebenberg, Martin and Buchsbaum, Melanie and Niemietz, Philipp and Knape, Simon and Epple, Alexander and Storms, Simon and Trauth, Daniel and Bergs, Thomas and Brecher, Christian and Decker, Stefan and Lakemeyer, Gerhard and Wehrle, Klaus}
}