@misc{SchaubWoltran2018,
  author    = {Schaub, Torsten H. and Woltran, Stefan},
  title     = {Special issue on answer set programming},
  series = {K{\"u}nstliche Intelligenz},
  volume    = {32},
  journal   = {K{\"u}nstliche Intelligenz},
  number    = {2-3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {0933-1875},
  doi       = {10.1007/s13218-018-0554-8},
  pages     = {101 -- 103},
  year      = {2018},
  language  = {en}
}
@misc{LifschitzSchaubWoltran2018,
  author    = {Lifschitz, Vladimir and Schaub, Torsten H. and Woltran, Stefan},
  title     = {Interview with Vladimir Lifschitz},
  series = {K{\"u}nstliche Intelligenz},
  volume    = {32},
  journal   = {K{\"u}nstliche Intelligenz},
  number    = {2-3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {0933-1875},
  doi       = {10.1007/s13218-018-0552-x},
  pages     = {213 -- 218},
  year      = {2018},
  abstract  = {This interview with Vladimir Lifschitz was conducted by Torsten Schaub at the University of Texas at Austin in August 2017. The question set was compiled by Torsten Schaub and Stefan Woltran.},
  language  = {en}
}
@misc{HesseMatthiesSinzigetal.2019,
  author    = {Hesse, G{\"u}nter and Matthies, Christoph and Sinzig, Werner and Uflacker, Matthias},
  title     = {Adding Value by Combining Business and Sensor Data},
  series = {Database Systems for Advanced Applications},
  volume    = {11448},
  journal   = {Database Systems for Advanced Applications},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-18590-9},
  issn      = {0302-9743},
  doi       = {10.1007/978-3-030-18590-9_80},
  pages     = {528 -- 532},
  year      = {2019},
  abstract  = {Industry 4.0 and the Internet of Things are recent developments that have lead to the creation of new kinds of manufacturing data. Linking this new kind of sensor data to traditional business information is crucial for enterprises to take advantage of the data's full potential. In this paper, we present a demo which allows experiencing this data integration, both vertically between technical and business contexts and horizontally along the value chain. The tool simulates a manufacturing company, continuously producing both business and sensor data, and supports issuing ad-hoc queries that answer specific questions related to the business. In order to adapt to different environments, users can configure sensor characteristics to their needs.},
  language  = {en}
}
@misc{CombiOliboniWeskeetal.2018,
  author    = {Combi, Carlo and Oliboni, Barbara and Weske, Mathias and Zerbato, Francesca},
  title     = {Conceptual modeling of processes and data},
  series = {Conceptual Modeling, ER 2018},
  volume    = {11157},
  journal   = {Conceptual Modeling, ER 2018},
  editor    = {Trujillo, JC Davis},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-00847-5},
  issn      = {0302-9743},
  doi       = {10.1007/978-3-030-00847-5_18},
  pages     = {236 -- 250},
  year      = {2018},
  abstract  = {Business processes constantly generate, manipulate, and consume data that are managed by organizational databases. Despite being central to process modeling and execution, the link between processes and data is often handled by developers when the process is implemented, thus leaving the connection unexplored during the conceptual design. In this paper, we introduce, formalize, and evaluate a novel conceptual view that bridges the gap between process and data models, and show some kinds of interesting insights that can be derived from this novel proposal.},
  language  = {en}
}
@misc{BrewkaSchaubWoltran2018,
  author    = {Brewka, Gerhard and Schaub, Torsten H. and Woltran, Stefan},
  title     = {Interview with Gerhard Brewka},
  series = {K{\"u}nstliche Intelligenz},
  volume    = {32},
  journal   = {K{\"u}nstliche Intelligenz},
  number    = {2-3},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {0933-1875},
  doi       = {10.1007/s13218-018-0549-5},
  pages     = {219 -- 221},
  year      = {2018},
  abstract  = {This interview with Gerhard Brewka was conducted by correspondance in May 2018. The question set was compiled by Torsten Schaub and Stefan Woltran.},
  language  = {en}
}