@inproceedings{oezcep18reinterpretationSpheres,
Author = {{\"{O}}zg{\"{u}}r L{\"{u}}tf{\"{u}} {\"{O}}z{\c{c}}ep},
Title = {{Reinterpretation with Systems of Spheres}},
Booktitle = {{AI} 2018: Advances in Artificial Intelligence - Proceedings of the 31st Australasian Joint Conference},
Series = {Lecture Notes in Artificial Intelligence (LNAI)},
Volume = {11320},
Year = {2018},
Pages = {501--506},
Publisher = {Springer},
Bdsk-Url-1 = {https://doi.org/10.1007/978-3-030-00111-7%5C_32}
}

@Article{OJWT_2018v5i1n06_Babayigit,
        author    = {Sinan Babayigit and Sven Groppe},
        title     = {Webpage Ranking Analysis of Various Search Engines with Special Focus on Country-Specific Search},
        journal   = {Open Journal of Web Technologies (OJWT)},
        year      = {2018},
        volume    = {5},
        number    = {1},
        pages     = {44--64},
        issn      = {2199-188X},
        note      = {Special Issue: Proceedings of the International Workshop on Web Data Processing \& Reasoning (WDPAR 2018) in conjunction with the 41st German Conference on Artificial Intelligence (KI) in Berlin, Germany.},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2018093019303617104000},
        urn       = {urn:nbn:de:101:1-2018093019303617104000},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {In order to attract many visitors to their own website, it is extremely important for website developers that their webpage is one of the best ranked webpages of search engines. As a rule, search engine operators do not disclose their exact ranking algorithm, so that website developers usually have only vague ideas about which measures have particularly positive influences on the webpage ranking. Conversely, we ask the question: "What are the properties of the best ranked webpages?" For this purpose, we perform a detailed analysis, in which we compare the properties of the best ranked webpages with the worse ranked webpages. Furthermore, we compare countryspecific differences.}
}

@inproceedings{BraMo18e,
  author = {Tanya Braun and Ralf M\"oller}, 
  title = {{Adaptive Inference on Probabilistic Relational Models}}, 
  booktitle = {AI 2018: Advances in Artificial Intelligence}, 
  pages = {487--500},
  year = {2018},
  publisher = {Springer},
  doi = {https://doi.org/10.1007/978-3-030-03991-2_44}
}

@inproceedings{oezcep18reinterpretationSpheres,
	Author = {{\"{O}}zg{\"{u}}r L{\"{u}}tf{\"{u}} {\"{O}}z{\c{c}}ep},
	Booktitle = {{AI} 2018: Proceedings of the 31st Australasian Joint Conference on Artifical Intelligence},
	Date-Added = {2018-11-13 13:16:18 +0100},
	Date-Modified = {2018-11-13 13:18:45 +0100},
	Note = {In print},
	Publisher = {Springer},
	Series = {Lecture Notes in Artificial Intelligence},
	Title = {Reinterpretation with Systems of Spheres},
	Year = {2018},
	Bdsk-Url-1 = {https://doi.org/10.1007/978-3-030-00111-7%5C_32}}

@inproceedings{oezcep18bounded,
	Author = {{\"{O}}zg{\"{u}}r L{\"{u}}tf{\"{u}} {\"{O}}z{\c{c}}ep},
	Title = {Bounded-Memory Stream Processing},
        Booktitle = {{KI} 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, Proceedings},
        Editor = {Frank Trollmann and Anni{-}Yasmin Turhan},
        Series = {Lecture Notes in Computer Science},
        Volume = {11117},
	Pages = {377--390},
	Publisher = {Springer},
	doi = {https://doi.org/10.1007/978-3-030-00111-7_32},
        Timestamp = {Mon, 17 Sep 2018 15:55:32 +0200},
        Bibsource = {dblp computer science bibliography, https://dblp.org},
	Biburl = {https://dblp.org/rec/bib/conf/ki/Ozcep18},
        Date-Added = {2018-11-13 13:14:07 +0100},
	Date-Modified = {2018-11-13 13:14:18 +0100},
	Bdsk-Url-1 = {https://doi.org/10.1007/978-3-030-00111-7%5C_32}
}

@inproceedings{BraMo18,
author = {Tanya Braun and Ralf M\"oller}, 
title = {{Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm - Extended Version}}, 
booktitle = {Postproceedings of the 5th International Workshop on Graph Structures for Knowledge Representation and Reasoning},
publisher = {Springer},
year = {2018},
pages = {54--72},
doi = {https://doi.org/10.1007/978-3-319-78102-0_3}
}

@article{schiff18OBDA,
Author = {Simon Schiff and {\"O}zg\"ur L. \"{O}z\c{c}ep and Ralf {M\"oller}},
Title = {Ontology-based Data Access to Big Data},
Journal = {Open Journal of Databases (OJDB)},
Year = {2018},
Volume = {6},
Issue={1},
Pages = {21--32},
Note = {Postproceeding of Hidest'18}
}

@article{SchGeMo18a,
  author = {Simon Schiff and Marcel Gehrke and Ralf M\"oller}, 
  title = {{Efficient Enriching of Synthesized Relational Patient Data with Time Series Data}}, 
  journal = {Procedia Computer Science},
  volume = {141},
  pages = {531 - 538},
  year = {2018},
  note = {The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops},
  issn = {1877-0509},
  doi = {https://doi.org/10.1016/j.procs.2018.10.130},
  publisher = {Elsevier Science}
}

@inproceedings{BraMo17a,
author = {Tanya Braun and Ralf M\"oller}, 
title = {{Preventing Groundings and Handling Evidence in the Lifted Junction Tree Algorithm}}, 
booktitle = {KI 2017: Advances in Artificial Intelligence},
pages = {85--98},
year = {2017},
publisher = {Springer},
doi = {https://doi.org/10.1007/978-3-319-67190-1_7}
}

@article{kharlamov17semantic,
author = {Evgeny Kharlamov and Theofilos Mailis and Gulnar Mehdi and Christian Neuenstadt and Özgür Lütfü Özçep and Mikhail Roshchin and Nina Solomakhina and Ahmet Soylu and Christoforos Svingos and Sebastian Brandt and Martin Giese and Yannis Ioannidis and Steffen Lamparter and Ralf Möller and Yannis Kotidis and Arild Waaler},
title = {Semantic access to streaming and static data at Siemens},
journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
year = {2017},
publisher={Elsevier},
Doi = {http://dx.doi.org/10.1016/j.websem.2017.02.001},
Issn = {1570-8268},
Keywords = {OBDA, streams}
}

@inproceedings{BraMo17,
author = {Tanya Braun and Ralf M\"oller}, 
title = {{Counting and Conjunctive Queries in the Lifted Junction Tree Algorithm}}, 
booktitle = {Graph Structures for Knowledge Representation and Reasoning - 5th International Workshop (GKR 2017), Melbourne, Australia},
year = {2017},
url = {http://www.lirmm.fr/~hecham/GKR/papers.html}
}

@Article{OJWT_2017v4i1n01_Oberesch,
        title     = {{The mf-index: A Citation-Based Multiple Factor Index to Evaluate and Compare the Output of Scientists}},
        author    = {Eric Oberesch and Sven Groppe},
        journal   = {Open Journal of Web Technologies (OJWT)},
        issn      = {2199-188X},
        year      = {2017},
        volume    = {4},
        number    = {1},
        pages     = {1--32},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-2017070914565},
        urn       = {urn:nbn:de:101:1-2017070914565},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Comparing the output of scientists as objective as possible is an important factor for, e.g., the approval of research funds or the filling of open positions at universities. Numeric indices, which express the scientific output in the form of a concrete value, may not completely supersede an overall view of a researcher, but provide helpful indications for the assessment. This work introduces the most important citation-based indices, analyzes their advantages and disadvantages and provides an overview of the aspects considered by them. On this basis, we identify the criteria that an advanced index should fulfill, and develop a new index, the mf-index. The objective of the mf-index is to combine the benefits of the existing indices, while avoiding as far as possible their drawbacks and to consider additional aspects. Finally, an evaluation based on data of real publications and citations compares the mf-index with existing indices and verifies that its advantages in theory can also be determined in practice.}
    }

@article{MotzekMoellerJAIR2017,
   author = {Motzek, Alexander and M\"{o}ller, Ralf},
   title = {{Indirect Causes in Dynamic Bayesian Networks Revisited}},
   journal = {Journal of Artificial Intelligence Research (JAIR)},
   year = {2017},
   volume = {59},
   pages = {1--58},
   publisher = {AAAI Press},
   url = {http://www.jair.org/papers/paper5361.html}
}

@PhdThesis{WernerPhD2017,
  author = {Stefan Werner},
  title =  {{Hybrid Architecture for Hardware-accelerated Query Processing in Semantic Web Databases based on Runtime Reconfigurable FPGAs}},
  school = {Universit{\"a}t zu L{\"u}beck},
  year =   {2017}
}

@ARTICLE{KoLaLu2016,
author={Alexander Kott and Mona Lange and Jackson Ludwig},
title={{Assessing Mission Impact of Cyber Attacks: Towards a Model-Driven Paradigm}},
journal={IEEE Security Privacy},
year={2017},
month={Oktober},
volume={15},
number={5},
pages={65--74},
doi={101109/MSP.2017.3681068},
ISSN={1540-7993}
}