@inproceedings{gruhl2022self,
  abstract = {Besides infrastructure-based solutions, small-scale
microsystems are increasingly connected and interoperating with
others in changing environments. Following the same motivation
as for self-adaptive systems, this demands novel attempts to
counter complexity and provide autonomous decision freedom
that paves the path towards resilient and flexible behaviour.
In this article, we outline a vision for research on self-aware
microsystems (SAM) that aims at providing technical solutions
that are especially relevant for initiatives such as self-improving
system integration.},
  author = {Gruhl, Christian and Tomforde, Sven and Sick, Bernhard},
  booktitle = {Workshop on Self-Improving System Integration (SISSY), ACSOS},
  doi = {10.1109/ACSOSC56246.2022.00045},
  interhash = {69b2a4df1c13ba8feec866d9e41a51bc},
  intrahash = {02014fbae89c1394970a5b3f32ff1bb6},
  pages = {126--127},
  publisher = {IEEE},
  title = {Self-Aware Microsystems},
  url = {https://ieeexplore.ieee.org/abstract/document/9934876/},
  year = 2022
}

@article{ORK15,
  author = {Ozga, Christian and Rei{\ss}, Philipp and Kielich, Witoslaw and Klumpp, Stephan},
  doi = {10.1088/0953-4075/48/1/015004},
  file = {:C\:/Users/Philipp/Documents/Literatur/Paper/2015-Ozga-J.Phys.B.-48-015004-Fluorescence cascades in XeII.pdf:pdf},
  interhash = {61df5a5a72a641ad8b21e97fb4e4e0c3},
  intrahash = {125fb402eb2e8c656209c79e53c5708c},
  issn = {1361-6455},
  journal = {J. Phys. B At. Mol. Opt. Phys.},
  number = 1,
  pages = 15004,
  publisher = {IOP Publishing},
  title = {{Fluorescence cascades after excitation of XeII $5p^{4}6p$ satellite states by synchrotron radiation}},
  url = {http://dx.doi.org/10.1088/0953-4075/48/1/015004},
  volume = 48,
  year = 2015
}

@article{jsang2007survey,
  abstract = {Trust and reputation systems represent a significant trend in decision support for Internet mediated service provision. The basic idea is to let parties rate each other, for example after the completion of a transaction, and use the aggregated ratings about a given party to derive a trust or reputation score, which can assist other parties in deciding whether or not to transact with that party in the future. A natural side effect is that it also provides an incentive for good behaviour, and therefore tends to have a positive effect on market quality. Reputation systems can be called collaborative sanctioning systems to reflect their collaborative nature, and are related to collaborative filtering systems. Reputation systems are already being used in successful commercial online applications. There is also a rapidly growing literature around trust and reputation systems, but unfortunately this activity is not very coherent. The purpose of this article is to give an overview of existing and proposed systems that can be used to derive measures of trust and reputation for Internet transactions, to analyse the current trends and developments in this area, and to propose a research agenda for trust and reputation systems.},
  author = {Jøsang, Audun and Ismail, Roslan and Boyd, Colin},
  doi = {10.1016/j.dss.2005.05.019},
  interhash = {00a2017a002b72c88f47d5d4cae8da22},
  intrahash = {d5a0c8c0ce75635005311da023d17b6c},
  issn = {0167-9236},
  journal = {Decision Support Systems},
  note = {Emerging Issues in Collaborative Commerce},
  number = 2,
  pages = {618 - 644},
  title = {A survey of trust and reputation systems for online service provision},
  url = {http://www.sciencedirect.com/science/article/pii/S0167923605000849},
  volume = 43,
  year = 2007
}

@presentation{kohavi2012online,
  abstract = {The web provides an unprecedented opportunity to accelerate innovation by evaluating ideas quickly and accurately using controlled experiments (e.g., A/B tests and their generalizations).   Whether for front-end user-interface changes, or backend recommendation systems and relevance algorithms, online controlled experiments are now utilized to make data-driven decisions at Amazon, Microsoft, eBay, Facebook, Google, Yahoo, Zynga, and at many other companies.  While the theory of a controlled experiment is simple, and dates back to Sir Ronald A. Fisher’s experiments at the Rothamsted Agricultural Experimental Station in England in the 1920s, the deployment and mining of online controlled experiments at scale—thousands of experiments now—has taught us many lessons.  We provide an introduction, share real examples, key learnings, cultural challenges, and humbling statistics. },
  author = {Kohavi, Ron},
  day = 12,
  interhash = {36a473c449c5ede0589c2801781a0579},
  intrahash = {aa31e13651d5d1eab42e449e55a0e745},
  month = sep,
  title = {Online Controlled Experiments: Introduction, Learnings, and Humbling Statistics},
  type = {Industry keynote at ACM Recommender Systems},
  url = {http://www.exp-platform.com/Pages/2012RecSys.aspx},
  year = 2012
}

@inproceedings{brew2010using,
  abstract = {Tracking sentiment in the popular media has long been of interest to media analysts and pundits. With the availability of news content via online syndicated feeds, it is now possible to automate some aspects of this process. There is also great potential to crowdsource Crowdsourcing is a term, sometimes associated with Web 2.0 technologies, that describes outsourcing of tasks to a large often anonymous community. much of the annotation work that is required to train a machine learning system to perform sentiment scoring. We describe such a system for tracking economic sentiment in online media that has been deployed since August 2009. It uses annotations provided by a cohort of non-expert annotators to train a learning system to classify a large body of news items. We report on the design challenges addressed in managing the effort of the annotators and in making annotation an interesting experience.},
  acmid = {1860997},
  address = {Amsterdam, The Netherlands, The Netherlands},
  author = {Brew, Anthony and Greene, Derek and Cunningham, Pádraig},
  booktitle = {Proceedings of the 19th European Conference on Artificial Intelligence},
  editor = {Coelho, Helder and Studer, Rudi and Wooldridge, Michael},
  interhash = {90650749ea1084b729710d37b5865b72},
  intrahash = {9643e3c5729886b0b4e85cb3d3d704f5},
  isbn = {978-1-60750-605-8},
  numpages = {6},
  pages = {145--150},
  publisher = {IOS Press},
  series = {Frontiers in Artificial Intelligence and Applications},
  title = {Using Crowdsourcing and Active Learning to Track Sentiment in Online Media},
  url = {http://dl.acm.org/citation.cfm?id=1860967.1860997},
  volume = 215,
  year = 2010
}

@article{Memo816500,
  author = {{Dorau, Ralf; Hohns}, Gabriela},
  booktitle = { THEMA: QUALITÄT IN DER BERUFLICHEN BILDUNG - Erfolg der Absolventen auf dem Arbeitsmarkt als Massstab für die Qualität der Ausbildung },
  interhash = {3c845fd93b1ac27fed66c15038b7fc95},
  intrahash = {22f54ede88d5a3fd73e15c2d7e91c2aa},
  issn = {0341-4515},
  journal = { Berufsbildung in Wissenschaft und Praxis },
  note = { Ralf Dorau ; Gabriela Hohns },
  number = { 6 },
  pages = { 24 },
  title = { THEMA: QUALITÄT IN DER BERUFLICHEN BILDUNG - Erfolg der Absolventen auf dem Arbeitsmarkt als Massstab für die Qualität der Ausbildung },
  volume = { 35 },
  year = { 2006 }
}

@inproceedings{ls_leimeister,
  address = {Las Vegas},
  author = {Leimeister, J. M. and Krcmar, H.},
  booktitle = {Proceedings of the 11th International Conference on Human-Computer Interaction (HCI-I 2005)},
  interhash = {61850b548c605a0b0cbd0ab3a4e2d98b},
  intrahash = {c7db493ec30777fb1585fa3e8767ac7a},
  title = {Patient-oriented design of online support communities},
  url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/05-24.pdf},
  year = 2005
}

@book{noauthororeditor2011privacy,
  editor = {Trepte, Sabine and Reinecke, Leonard},
  interhash = {0c1381abf25ce1766bf35b1d3b72d87b},
  intrahash = {6b40774e3fee58c844c9e059e77691df},
  isbn = {9783642215209 3642215203},
  pages = {--},
  publisher = {Springer-Verlag New York Inc},
  refid = {731921793},
  title = {Privacy Online Perspectives on Privacy and Self-disclosure in the Social Web.},
  url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9783642215209},
  year = 2011
}

@inproceedings{ponzetto2007deriving,
  abstract = {We take the category system inWikipedia as a conceptual network. We label the semantic relations between categories using methods based on connectivity in the network and lexicosyntactic matching. As a result we are able to derive a large scale taxonomy containing a large amount of subsumption, i.e. isa, relations. We evaluate the quality of the created resource by comparing it with ResearchCyc, one of the largest manually annotated ontologies, as well as computing semantic similarity between words in benchmarking datasets.},
  author = {Ponzetto, Simone Paolo and Strube, Michael},
  booktitle = {AAAI},
  crossref = {conf/aaai/2007},
  date = {2007-09-05},
  file = {ponzetto2007deriving.pdf:ponzetto2007deriving.pdf:PDF},
  groups = {public},
  interhash = {bc3a144ed8d3f2941359ae97a5b93194},
  intrahash = {5db72406c5681facd7ad47895937d86e},
  isbn = {978-1-57735-323-2},
  pages = {1440-1445},
  publisher = {AAAI Press},
  timestamp = {2010-03-30 16:07:36},
  title = {Deriving a Large-Scale Taxonomy from Wikipedia.},
  url = {http://dblp.uni-trier.de/db/conf/aaai/aaai2007.html#PonzettoS07},
  username = {dbenz},
  year = 2007
}

@misc{cris2000ss,
  address = {CRIS 2000, Helsinki, Finnland},
  author = {Adamczak, Wolfgang and Begemann, Heinz and Stefani, Sven},
  howpublished = {Presentation at CRIS 2000},
  interhash = {522124daa875752bf283e4dc356701e1},
  intrahash = {615e77eaf880422be5bd476b90b1b54c},
  note = {CRIS 2000 - Current Research Information Systems for Europe Conference, Helsinki, Finnland, 2000},
  title = {Research Report Online as Portal to a Wider CRIS
},
  url = {http://www.svenstefani.de/publ/cris2000/adamczak_fulltext.pdf},
  year = 2000
}

@inproceedings{conf/icdm/AlSumaitBD08,
  author = {AlSumait, Loulwah and Barbará, Daniel and Domeniconi, Carlotta},
  booktitle = {ICDM},
  crossref = {conf/icdm/2008},
  date = {2009-02-20},
  ee = {http://dx.doi.org/10.1109/ICDM.2008.140},
  interhash = {e46dde3d53c823afeeb7604f1991b661},
  intrahash = {980e5cf0b3db547cf47c2c203734ac83},
  pages = {3-12},
  publisher = {IEEE Computer Society},
  title = {On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.},
  url = {http://dblp.uni-trier.de/db/conf/icdm/icdm2008.html#AlSumaitBD08},
  year = 2008
}

@inproceedings{stumme98online,
  author = {Stumme, Gerd},
  booktitle = {Proc. 5th Intl. Conf. on Foundations of Data Organization (FODO'98)},
  editor = {Tanaka, K. and Ghandeharizadeh, S.},
  interhash = {94e6951daab896dd75d8716d2f1ae45d},
  intrahash = {1121c5fe44a16f5a84ad19dec2dc662d},
  month = {nov 12-13},
  note = {Short version of \cite{stumme00conceptual}},
  page = {318-331},
  pages = {117-126},
  title = {On-Line Analytical Processing with Conceptual Information Systems},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1998/FODO98.pdf},
  year = 1998
}

@inproceedings{ls_leimeister,
  address = {Las Vegas},
  author = {Leimeister, J. M. and Krcmar, H.},
  booktitle = {Proceedings of the 11th International Conference on Human-Computer Interaction (HCI-I 2005)},
  interhash = {61850b548c605a0b0cbd0ab3a4e2d98b},
  intrahash = {c7db493ec30777fb1585fa3e8767ac7a},
  title = {Patient-oriented design of online support communities},
  url = {http://pubs.wi-kassel.de/wp-content/uploads/2013/03/JML_41.pdf},
  year = 2005
}

@inproceedings{Ahn07snowballSampling,
  abstract = {Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network topologies of MySpace and orkut. Cyworld, the oldest of the three, demonstrates a changing scaling behavior over time in degree distribution. The latest Cyworld data's degree distribution exhibits a multi-scaling behavior, while those of MySpace and orkut have simple scaling behaviors with different exponents. Very interestingly, each of the two e ponents corresponds to the different segments in Cyworld's degree distribution. Certain online social networking services encourage online activities that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks.},
  address = {New York, NY, USA},
  author = {Ahn, Yong-Yeol and Han, Seungyeop and Kwak, Haewoon and Moon, Sue and Jeong, Hawoong},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242685},
  interhash = {444ffef9e7a5b4255d78f26f0409864d},
  intrahash = {6165fcf297f7b8cca2f9bb7e73c7d890},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {835--844},
  publisher = {ACM},
  title = {Analysis of topological characteristics of huge online social networking services},
  url = {http://portal.acm.org/citation.cfm?id=1242685},
  year = 2007
}

@book{Sherman.2005,
  address = {Medford, NJ},
  author = {Sherman, Chris and Price, Gary},
  edition = {5. print.},
  interhash = {dc1ce7416af96d226839fb081abaea90},
  intrahash = {55f48797c52a742aa8e6a42c3a73005e},
  isbn = {0910965514},
  publisher = {Information Today},
  series = {CyberAge books},
  title = {The invisible web:  Uncovering information sources search engines can't see},
  year = 2005
}

@inproceedings{ahn2007topological,
  abstract = {Social networking services are a fast-growing business in the Internet. However, it is unknown if online relationships and their growth patterns are the same as in real-life social networks. In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. We have access to complete data of Cyworld's ilchon (friend) relationships and analyze its degree distribution, clustering property, degree correlation, and evolution over time. We also use Cyworld data to evaluate the validity of snowball sampling method, which we use to crawl and obtain partial network topologies of MySpace and orkut. Cyworld, the oldest of the three, demonstrates a changing scaling behavior over time in degree distribution. The latest Cyworld data's degree distribution exhibits a multi-scaling behavior, while those of MySpace and orkut have simple scaling behaviors with different exponents. Very interestingly, each of the two e ponents corresponds to the different segments in Cyworld's degree distribution. Certain online social networking services encourage online activities that cannot be easily copied in real life; we show that they deviate from close-knit online social networks which show a similar degree correlation pattern to real-life social networks.},
  address = {New York, NY, USA},
  author = {Ahn, Yong-Yeol and Han, Seungyeop and Kwak, Haewoon and Moon, Sue and Jeong, Hawoong},
  booktitle = {Proceedings of the 16th International Conference on World Wide Web},
  doi = {10.1145/1242572.1242685},
  interhash = {444ffef9e7a5b4255d78f26f0409864d},
  intrahash = {80928579cc079e0e27c8a28b23a300b7},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {835--844},
  publisher = {ACM},
  title = {Analysis of topological characteristics of huge online social networking services},
  url = {http://portal.acm.org/citation.cfm?id=1242685},
  year = 2007
}