@article{10.1371/journal.pone.0081638,
  abstract = {<p>The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments.</p>},
  author = {Becker, Martin and Caminiti, Saverio and Fiorella, Donato and Francis, Louise and Gravino, Pietro and Haklay, Mordechai (Muki) and Hotho, Andreas and Loreto, Vittorio and Mueller, Juergen and Ricchiuti, Ferdinando and Servedio, Vito D. P. and Sîrbu, Alina and Tria, Francesca},
  doi = {10.1371/journal.pone.0081638},
  interhash = {52652b4fe271d8be4b96b2f692fe9519},
  intrahash = {423a8aaa4eb317ee507143293205c76f},
  journal = {PLoS ONE},
  month = {12},
  number = 12,
  pages = {e81638},
  publisher = {Public Library of Science},
  title = {Awareness and Learning in Participatory Noise Sensing},
  url = {http://dx.doi.org/10.1371%2Fjournal.pone.0081638},
  volume = 8,
  year = 2013
}

@inproceedings{becker2013generic,
  abstract = {An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.},
  address = {New York, NY, USA},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings},
  doi = {10.1145/2494091.2499776},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  pages = {1175--1182},
  publisher = {ACM},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  year = 2013
}

@inproceedings{mueller2013recommendations,
  abstract = {With the rising popularity of smart mobile devices, sensor data-based
 applications have become more and more popular. Their users record
 data during their daily routine or specifically for certain events.
 The application WideNoise Plus allows users to record sound samples
 and to annotate them with perceptions and tags. The app is being
 used to document and map the soundscape all over the world. The procedure
 of recording, including the assignment of tags, has to be as easy-to-use
 as possible. We therefore discuss the application of tag recommender
 algorithms in this particular scenario. We show, that this task is
 fundamentally different from the well-known tag recommendation problem
 in folksonomies as users do no longer tag fix resources but rather
 sensory data and impressions. The scenario requires efficient recommender
 algorithms that are able to run on the mobile device, since Internet
 connectivity cannot be assumed to be available. Therefore, we evaluate
 the performance of several tag recommendation algorithms and discuss
 their applicability in the mobile sensing use-case.},
  author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings},
  interhash = {23d1cf49208d9a0c8b883dc69d4e444d},
  intrahash = {6190d6064dfdb3b8d71f2898539e993e},
  note = {accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  title = {Tag Recommendations for SensorFolkSonomies},
  year = 2013
}

@inproceedings{kibanov2013select,
  abstract = {This paper describes a framework for evaluating and selecting suitable soft- ware tools for a software project, which is easily extendable depending on needs of the project. For an evaluation, we applied the presented framework in three different projects. These projects use different software development methods (from classical models to Scrum) in different environments (industry and academia). We discuss our experiences and the lessons learned.},
  author = {Kibanov, Mark and Erdmann, Dominik J. and Atzmueller, Martin},
  booktitle = {Software Engineering 2013 - Workshopband},
  editor = {Wagner, Stefan and Lichter, Horst},
  interhash = {5ca8db994c0eac678d74c889dc02eaee},
  intrahash = {a3fe7cf44007d0f52a16ae05da66c610},
  publisher = {Gesellschaft für Informatik},
  title = {How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned},
  url = {http://www4.in.tum.de/~kuhrmann/se2013/kibanov.pdf},
  year = 2013
}

@incollection{mitzlaff2013semantics,
  address = {Heidelberg, Germany},
  author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas},
  booktitle = {Complex Networks IV},
  doi = {10.1007/978-3-642-36844-8_2},
  editor = {Ghoshal, Gourab and Poncela-Casasnovas, Julia and Tolksdorf, Robert},
  interhash = {bf333426bb7af5f01bf0c465c1bfe1fc},
  intrahash = {0a35f1ed66fcd342a6a44d70c63fb735},
  optisbn = {978-3-642-36843-1},
  opturl = {http://dx.doi.org/10.1007/978-3-642-36844-8_2},
  publisher = {Springer Verlag},
  series = {Studies in Computational Intelligence},
  title = {{Semantics of User Interaction in Social Media}},
  volume = 476,
  year = 2013
}

@inproceedings{kibanov2013evolution,
  abstract = {Communities are a central aspect in the formation of social interaction networks. In this paper, we analyze the evolution of communities in networks of face-to-face proximity. As our application context, we consider four scientific conferences. We compare the basic properties of the contact graphs to describe the properties of the contact networks and analyze the resulting community structure using state-of-the-art automic community detection algorithms.
Specifically, we analyze the evolution of contacts and communities over time to consider the stability of the respective communities. In addition, we assess different factors which have an influence on the quality of community prediction. Overall, we provide first important insights into the evolution of contacts and communities in face-to-face contact networks.},
  address = {Los Alamitos, CA, USA},
  author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd},
  booktitle = {Cyber, Physical and Social Computing (CPSCom), 2013 IEEE International Conference on},
  interhash = {14e73d96c8554e73214c36b49add934c},
  intrahash = {601dbb4ce847cd8baaec1c751f8373a5},
  publisher = {IEEE Computer Society},
  title = {On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity},
  year = 2013
}

@inproceedings{atzmueller2013towards,
  address = {New York, NY, USA},
  author = {Atzmueller, Martin and Hilgenberg, Katy},
  booktitle = {Proc. 4th International Workshop on Modeling Social Media (MSM 2013), Hypertext 2013},
  interhash = {b0d93d41ff9e84514d614cd2b3507a1d},
  intrahash = {4ebea4979524a9c1c0d41845e41e33a9},
  publisher = {ACM Press},
  title = {{Towards Capturing Social Interactions with SDCF: An Extensible Framework for Mobile Sensing and Ubiquitous Data Collection}},
  year = 2013
}

@book{atzmueller2013proceedings,
  address = {Prague, Czech Republic},
  editor = {Atzmueller, Martin and Scholz, Christoph},
  interhash = {86b1cf400a692ad208a65d64798b360d},
  intrahash = {df284a5c0da26066183bb7f528ded439},
  publisher = {ECML/PKDD 2013},
  title = {{Proceedings of the 2013 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2013)}},
  year = 2013
}

@misc{atzmueller2013conferator,
  author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd},
  howpublished = {INFORMATIK 2013, Poster},
  interhash = {caba49a0a623346dad82849aba632778},
  intrahash = {08072aad22200d852e826ef2cde3e487},
  title = {Conferator - a Social System for Conference and Contact Management },
  year = 2013
}

@inproceedings{mitzlaff2013leveraging,
  author = {Mitzlaff, Folke},
  booktitle = {Proceedings from Sunbelt XXXIII},
  interhash = {c8e7748fd7777e15c66f8dce8189a7a5},
  intrahash = {aedf89a1eb405370be2a6d8e0c3be382},
  title = {Name Me If You Can(!) - Leveraging Networks of Given Names},
  year = 2013
}

@inproceedings{jaschke2013attribute,
  abstract = {We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.},
  author = {Jäschke, Robert and Rudolph, Sebastian},
  booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis},
  editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard},
  interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4},
  intrahash = {45e900e280661d775d8da949baee3747},
  month = may,
  organization = {Technische Universität Dresden},
  pages = {19--34},
  title = {Attribute Exploration on the Web},
  url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133},
  urn = {urn:nbn:de:bsz:14-qucosa-113133},
  year = 2013
}

@inproceedings{doerfel2013analysis,
  abstract = {Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.},
  acmid = {2507222},
  address = {New York, NY, USA},
  author = {Doerfel, Stephan and Jäschke, Robert},
  booktitle = {Proceedings of the 7th ACM conference on Recommender systems},
  doi = {10.1145/2507157.2507222},
  interhash = {3eaf2beb1cdad39b7c5735a82c3338dd},
  intrahash = {a73213a865503252caa4b28e88a77108},
  isbn = {978-1-4503-2409-0},
  location = {Hong Kong, China},
  numpages = {4},
  pages = {343--346},
  publisher = {ACM},
  series = {RecSys '13},
  title = {An Analysis of Tag-Recommender Evaluation Procedures},
  url = {http://doi.acm.org/10.1145/2507157.2507222},
  year = 2013
}

@inproceedings{scholz2013people,
  address = {New York, NY, USA},
  author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd},
  booktitle = {Proc. ASONAM 2013},
  interhash = {8b6051b794789000c4baa5ab059fab18},
  intrahash = {0fee74fd5b3f4c2af09e3af256086c63},
  publisher = {ACM Press},
  title = {{How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}},
  year = 2013
}

@conference{macek2013visualizing,
  address = {New York, NY, USA},
  author = {Macek, Björn-Elmar and Atzmueller, Martin},
  booktitle = {Proc. ASONAM 2013},
  interhash = {d8cd9de635a391360c1663c0ec1ba35d},
  intrahash = {04a24a6fa8abc228ea70b7d1c2ca7455},
  publisher = {ACM Press},
  title = {Visualizing The Impact of Time Series Data
for Predicting User Interactions},
  year = 2013
}

@misc{mitzlaff2013onomastics,
  abstract = {Onomastics is "the science or study of the origin and forms of proper names
of persons or places." ["Onomastics". Merriam-Webster.com, 2013.
http://www.merriam-webster.com (11 February 2013)]. Especially personal names
play an important role in daily life, as all over the world future parents are
facing the task of finding a suitable given name for their child. This choice
is influenced by different factors, such as the social context, language,
cultural background and, in particular, personal taste.
  With the rise of the Social Web and its applications, users more and more
interact digitally and participate in the creation of heterogeneous,
distributed, collaborative data collections. These sources of data also reflect
current and new naming trends as well as new emerging interrelations among
names.
  The present work shows, how basic approaches from the field of social network
analysis and information retrieval can be applied for discovering relations
among names, thus extending Onomastics by data mining techniques. The
considered approach starts with building co-occurrence graphs relative to data
from the Social Web, respectively for given names and city names. As a main
result, correlations between semantically grounded similarities among names
(e.g., geographical distance for city names) and structural graph based
similarities are observed.
  The discovered relations among given names are the foundation of "nameling"
[http://nameling.net], a search engine and academic research platform for given
names which attracted more than 30,000 users within four months,
underpinningthe relevance of the proposed methodology.},
  author = {Mitzlaff, Folke and Stumme, Gerd},
  interhash = {816104835d685de72d69faa174fd5e77},
  intrahash = {0e7c394199e6b0587a880184b206af57},
  note = {cite arxiv:1303.0484Comment: Historically, this is the first paper on the analysis of names in the  context of the name search engine 'nameling'. arXiv admin note: text overlap  with arXiv:1302.4412},
  title = {Onomastics 2.0 - The Power of Social Co-Occurrences},
  url = {http://arxiv.org/abs/1303.0484},
  year = 2013
}

@misc{atzmueller2013conferator,
  author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd},
  howpublished = {Poster at INFORMATIK 2013},
  institution = {University of Koblenz-Landau},
  interhash = {caba49a0a623346dad82849aba632778},
  intrahash = {2668432d7c035c34c4af4f6f96e22397},
  publisher = {INFORMATIK 2013},
  title = {{Conferator - a Social System for Conference and Contact Management}},
  year = 2013
}

@inproceedings{atzmueller2013subgroup,
  abstract = {This paper applies subgroup discovery for obtaining interesting descriptive
 patterns in ubiquitous data. Furthermore, we provide a novel graph-based
 analysis approach for assessing the relations between the obtained
 subgroup set, and for ranking subgroups according to their relationships
 to other subgroups. We present and discuss first results utilizing
 real-world data, given by noise measurements with associated subjective
 perceptions and a set of tags describing the semantic context.},
  address = {Kassel, Germany},
  author = {Atzmueller, Martin and Mueller, Juergen},
  booktitle = {Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings},
  interhash = {339aa18b5a6047ea4005f6c6a48b9bb6},
  intrahash = {72d80f820d7cd8bc00469bc5ea3ed534},
  pages = {19--27},
  title = {Subgroup Analytics and Interactive Assessment on Ubiquitous Data},
  url = {http://www.kde.cs.uni-kassel.de/ws/muse2013/#proceedings},
  year = 2013
}

@inproceedings{mueller2013recommendations,
  abstract = {With the rising popularity of smart mobile devices, sensor data-based
 applications have become more and more popular. Their users record
 data during their daily routine or specifically for certain events.
 The application WideNoise Plus allows users to record sound samples
 and to annotate them with perceptions and tags. The app is being
 used to document and map the soundscape all over the world. The procedure
 of recording, including the assignment of tags, has to be as easy-to-use
 as possible. We therefore discuss the application of tag recommender
 algorithms in this particular scenario. We show, that this task is
 fundamentally different from the well-known tag recommendation problem
 in folksonomies as users do no longer tag fix resources but rather
 sensory data and impressions. The scenario requires efficient recommender
 algorithms that are able to run on the mobile device, since Internet
 connectivity cannot be assumed to be available. Therefore, we evaluate
 the performance of several tag recommendation algorithms and discuss
 their applicability in the mobile sensing use-case.},
  address = {Aachen, Germany},
  author = {Mueller, Juergen and Doerfel, Stephan and Becker, Martin and Hotho, Andreas and Stumme, Gerd},
  booktitle = {Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings},
  interhash = {23d1cf49208d9a0c8b883dc69d4e444d},
  intrahash = {2bab3f013052bc741e795c5c61aea5c9},
  issn = {1613-0073},
  publisher = {CEUR-WS},
  title = {Tag Recommendations for SensorFolkSonomies},
  url = {http://ceur-ws.org/Vol-1066/},
  volume = 1066,
  year = 2013
}

@incollection{atzmueller2013social,
  address = {Heidelberg, Germany},
  author = {Atzmueller, Martin},
  booktitle = {Mobile Social Networking: An Innovative Approach},
  editor = {Chin, Alvin and Zhang, Daqing},
  interhash = {1be75b604acbaf39653eeca9833782df},
  intrahash = {cd910f3a16c9368e7b73407708452653},
  publisher = {Springer Verlag},
  title = {{Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities}},
  year = 2013
}

@book{rothberghofer2013proceedings,
  address = {Annecy, France},
  editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin},
  interhash = {f1f8980780e57fc36c9c44ce7d3673b4},
  intrahash = {2b36fe460601217691180f0affbbe286},
  publisher = {CONTEXT 2013},
  title = {{Proceedings of the 2013 International Smart University Workshop (SmartU 2013)}},
  year = 2013
}