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    @Article{OJIOT_2022v8i1n08_Paasche,
        title     = {Generating SPARQL-Constraints for Consistency Checking in Industry 4.0 Scenarios},
        author    = {Simon Paasche and
                     Sven Groppe},
        journal   = {Open Journal of Internet Of Things (OJIOT)},
        issn      = {2364-7108},
        year      = {2022},
        volume    = {8},
        number    = {1},
        pages     = {80--90},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2022090515504409042979},
        urn       = {urn:nbn:de:101:1-2022090515504409042979},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {A smart manufacturing line consists of multiple connected machines. These machines communicate with each other over a network, to solve a common task. Such a scenario can be located in the Internet of Things (IoT) area. An individual machine can be perceived as an IoT device. Due to machine to machine communication, a huge amount of data is generated during manufacturing. This emerging data flow is an essential part of today's industry, as analyzing data helps improving processes and thus, product quality. To adequately make use of the collected data, we require a high level of data quality. In our work, we address the issue of inconsistent data in smart manufacturing and present an approach to automatically generate SPARQL queries for validation.}
    }