@inproceedings{becker2013generic,
  added-at = {2018-11-20T15:00:44.000+0100},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/2fb80201fcd01fe5c76f10e4fcef508a2/lautenschlager},
  booktitle = {Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication},
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  intrahash = {fb80201fcd01fe5c76f10e4fcef508a2},
  keywords = {p2map2:antrag:own citedby:scholar:count:21 citedby:scholar:timestamp:2018-11-20},
  organization = {ACM},
  pages = {1175--1182},
  timestamp = {2018-11-20T15:00:44.000+0100},
  title = {A generic platform for ubiquitous and subjective data},
  year = 2013
}

@inproceedings{conf/huc/0003MHS13,
  added-at = {2018-11-06T00:00:00.000+0100},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/2b3fdcfbeeed88c653f5092866112fbbc/dblp},
  booktitle = {UbiComp (Adjunct Publication)},
  crossref = {conf/huc/2013ap},
  editor = {Mattern, Friedemann and Santini, Silvia and Canny, John F. and Langheinrich, Marc and Rekimoto, Jun},
  ee = {https://doi.org/10.1145/2494091.2499776},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {b3fdcfbeeed88c653f5092866112fbbc},
  isbn = {978-1-4503-2215-7},
  keywords = {dblp},
  pages = {1175-1182},
  publisher = {ACM},
  timestamp = {2018-11-07T15:22:15.000+0100},
  title = {A generic platform for ubiquitous and subjective data.},
  url = {http://dblp.uni-trier.de/db/conf/huc/ubicomp2013ap.html#0003MHS13},
  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.},
  added-at = {2017-12-15T22:17:03.000+0100},
  address = {New York, NY, USA},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/2be7005d7aba0e748b1488e2290e10505/becker},
  booktitle = {Conference on Pervasive and Ubiquitous Computing Adjunct Publication},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {be7005d7aba0e748b1488e2290e10505},
  isbn = {978-1-4503-2215-7},
  keywords = {citedby:scholar:count:17 citedby:scholar:timestamp:2017-12-15 diss diss:allmypubs eva everyaware inthesis myown platform},
  pages = {1175--1182},
  series = {UbiComp '13 Adjunct},
  timestamp = {2017-12-20T14:40:47.000+0100},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  url = {http://dx.doi.org/10.1145/2494091.2499776},
  year = 2013
}

@inproceedings{mueller-2013a,
  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.},
  added-at = {2015-11-12T15:15:09.000+0100},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/dmir},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture	and Applications, PUCAA 2013, Zurich, Switzerland -- September 9,	2013. Proceedings},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  keywords = {2013 everyaware from:hotho myown platform workshop},
  note = {Accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  timestamp = {2024-01-18T10:31:52.000+0100},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  year = 2013
}

@inproceedings{mueller-2013a,
  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.},
  added-at = {2015-10-14T11:49:32.000+0200},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/kde-alumni},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture	and Applications, PUCAA 2013, Zurich, Switzerland -- September 9,	2013. Proceedings},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  keywords = {2013 everyaware myown platform workshop},
  note = {Accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  timestamp = {2015-10-14T11:49:32.000+0200},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  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.},
  added-at = {2015-04-14T11:56:18.000+0200},
  address = {New York, NY, USA},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/kdepublication},
  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},
  keywords = {kde mykopie},
  pages = {1175--1182},
  publisher = {ACM},
  timestamp = {2015-04-24T14:21:18.000+0200},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  year = 2013
}

@inproceedings{mueller-2013a,
  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.},
  added-at = {2014-02-04T11:23:47.000+0100},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/rzuw},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture	and Applications, PUCAA 2013, Zurich, Switzerland -- September 9,	2013. Proceedings},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  keywords = {data generic myown test},
  note = {Accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  timestamp = {2014-02-04T11:23:47.000+0100},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  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.},
  added-at = {2013-12-16T17:19:49.000+0100},
  address = {New York, NY, USA},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/stumme},
  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},
  keywords = {2013 EveryAware inproceedings iteg itegpub l3s myown sitc workshop},
  pages = {1175--1182},
  publisher = {ACM},
  timestamp = {2015-03-25T13:26:28.000+0100},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  year = 2013
}

@inproceedings{mueller-2013a,
  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.},
  added-at = {2013-09-12T13:14:25.000+0200},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/everyaware_bib},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture	and Applications, PUCAA 2013, Zurich, Switzerland -- September 9,	2013. Proceedings},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  keywords = {EveryAware data platform subjective},
  note = {Accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  timestamp = {2014-05-14T12:27:55.000+0200},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  url = {http://www.everyaware.eu/resources/restricted/Becker_UbiComp_2013.pdf},
  year = 2013
}

@inproceedings{mueller-2013a,
  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.},
  added-at = {2013-07-05T15:36:58.000+0200},
  author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/235eef1ecdac9d83d3bfbcac22c31984a/hotho},
  booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture	and Applications, PUCAA 2013, Zurich, Switzerland -- September 9,	2013. Proceedings},
  interhash = {5302866e7849d40a44deab166b6c4d36},
  intrahash = {35eef1ecdac9d83d3bfbcac22c31984a},
  keywords = {2013 everyaware myown platform workshop},
  note = {Accepted for publication},
  pages = {New York, NY, USA},
  publisher = {ACM},
  timestamp = {2015-11-12T15:14:41.000+0100},
  title = {A Generic Platform for Ubiquitous and Subjective Data},
  year = 2013
}