The issue of sustainability is at the top of the political and societal agenda, being considered of extreme importance and urgency. Human individual action impacts the environment both locally (e.g., local air/water quality, noise disturbance) and globally (e.g., climate change, resource use). Urban environments represent a crucial example, with an increasing realization that the most effective way of producing a change is involving the citizens themselves in monitoring campaigns (a citizen science bottom-up approach). This is possible by developing novel technologies and IT infrastructures enabling large citizen participation. Here, in the wider framework of one of the first such projects, we show results from an international competition where citizens were involved in mobile air pollution monitoring using low cost sensing devices, combined with a web-based game to monitor perceived levels of pollution. Measures of shift in perceptions over the course of the campaign are provided, together with insights into participatory patterns emerging from this study. Interesting effects related to inertia and to direct involvement in measurement activities rather than indirect information exposure are also highlighted, indicating that direct involvement can enhance learning and environmental awareness. In the future, this could result in better adoption of policies towards decreasing pollution.
ER - TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its Applications for Ubiquitous Social Computing JO - New Review of Hypermedia and Multimedia PY - 2014/ VL - 20 IS - 1 SP - 53 EP - 77 UR - M3 - 10.1080/13614568.2013.873488 KW - itegpub KW - 2014 KW - myown L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its applications for ubiquitous social computing JO - New Review of Hypermedia and Multimedia PY - 2014/ VL - 20 IS - 1 SP - 53 EP - 77 UR - http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488 M3 - 10.1080/13614568.2013.873488 KW - itegpub KW - 2014 KW - myown L1 - SN - N1 - Taylor & Francis Online N1 - AB - The combination of ubiquitous and social computing is an emergingresearch area which integrates different but complementary methods,
techniques and tools. In this paper, we focus on the Ubicon platform,
its applications, and a large spectrum of analysis results.
Ubicon provides an extensible framework for building and hosting applications
targeting both ubiquitous and social environments. We summarize the
architecture and exemplify its implementation using four real-world
applications built on top of Ubicon. In addition, we discuss several
scientific experiments in the context of these applications in order
to give a better picture of the potential of the framework, and discuss
analysis results using several real-world data sets collected utilizing
Ubicon. ER - TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its Applications for Ubiquitous Social Computing JO - New Review of Hypermedia and Multimedia PY - 2014/ VL - IS - SP - EP - UR - M3 - KW - itegpub KW - 2014 KW - myown L1 - SN - N1 - N1 - AB - The combination of ubiquitous and social computing is an emerging
research area which integrates different but complementary methods,
techniques and tools. In this paper, we focus on the Ubicon platform,
its applications, and a large spectrum of analysis results.
Ubicon provides an extensible framework for building and hosting applications
targeting both ubiquitous and social environments. We summarize the
architecture and exemplify its implementation using four real-world
applications built on top of Ubicon. In addition, we discuss several
scientific experiments in the context of these applications in order
to give a better picture of the potential of the framework, and discuss
analysis results using several real-world data sets collected utilizing
Ubicon. ER - TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its Applications for Ubiquitous Social Computing JO - New Review of Hypermedia and Multimedia PY - 2014/03 VL - 1 IS - 20 SP - 53 EP - 77 UR - http://dx.doi.org/10.1080/13614568.2013.873488 M3 - 10.1080/13614568.2013.873488 KW - ubiquitous KW - ubicon KW - social KW - 2014 KW - computing KW - myown KW - applications L1 - SN - N1 - N1 - AB - The combination of ubiquitous and social computing is an emerging
research area which integrates different but complementary methods,
techniques and tools. In this paper, we focus on the Ubicon platform,
its applications, and a large spectrum of analysis results.
Ubicon provides an extensible framework for building and hosting applications
targeting both ubiquitous and social environments. We summarize the
architecture and exemplify its implementation using four real-world
applications built on top of Ubicon. In addition, we discuss several
scientific experiments in the context of these applications in order
to give a better picture of the potential of the framework, and discuss
analysis results using several real-world data sets collected utilizing
Ubicon. ER - TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its Applications for Ubiquitous Social Computing JO - New Review of Hypermedia and Multimedia PY - 2014/ VL - 20 IS - 1 SP - 53 EP - 77 UR - http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488 M3 - 10.1080/13614568.2013.873488 KW - ubiquitous KW - ubicon KW - social KW - 2014 KW - myown KW - analytics KW - mining L1 - SN - N1 - N1 - AB - The combination of ubiquitous and social computing is an emerging
research area which integrates different but complementary methods,
techniques and tools. In this paper, we focus on the Ubicon platform,
its applications, and a large spectrum of analysis results.
Ubicon provides an extensible framework for building and hosting applications
targeting both ubiquitous and social environments. We summarize the
architecture and exemplify its implementation using four real-world
applications built on top of Ubicon. In addition, we discuss several
scientific experiments in the context of these applications in order
to give a better picture of the potential of the framework, and discuss
analysis results using several real-world data sets collected utilizing
Ubicon. ER - TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its applications for ubiquitous social computing JO - New Review of Hypermedia and Multimedia PY - 2014/ VL - 20 IS - 1 SP - 53 EP - 77 UR - http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488 M3 - 10.1080/13614568.2013.873488 KW - recommender KW - framework KW - ubicon KW - social KW - 2014 KW - computing KW - myown L1 - SN - N1 - Taylor & Francis Online N1 - AB - The combination of ubiquitous and social computing is an emerging
research area which integrates different but complementary methods,
techniques and tools. In this paper, we focus on the Ubicon platform,
its applications, and a large spectrum of analysis results.
Ubicon provides an extensible framework for building and hosting applications
targeting both ubiquitous and social environments. We summarize the
architecture and exemplify its implementation using four real-world
applications built on top of Ubicon. In addition, we discuss several
scientific experiments in the context of these applications in order
to give a better picture of the potential of the framework, and discuss
analysis results using several real-world data sets collected utilizing
Ubicon. ER - TY - GEN AU - Becker, Martin AU - Hotho, Andreas AU - Mueller, Juergen AU - Kibanov, Mark AU - Atzmueller, Martin AU - Stumme, Gerd A2 - T1 - Subjective vs. Objective Data: Bridging the Gap JO - PB - AD - PY - 2014/ VL - IS - SP - EP - UR - http://www.gesis.org/en/events/css-wintersymposium/poster-presentation/ M3 - KW - everyaware KW - 2015 KW - myown L1 - N1 - N1 - AB - Sensor data is objective. But when measuring our environment, measured values are contrasted with our perception, which is always subjective. This makes interpreting sensor measurements difficult for a single person in her personal environment. In this context, the EveryAware projects directly connects the concepts of objective sensor data with subjective impressions and perceptions by providing a collective sensing platform with several client applications allowing to explicitly associate those two data types. The goal is to provide the user with personalized feedback, a characterization of the global as well as her personal environment, and enable her to position her perceptions in this global context.
In this poster we summarize the collected data of two EveryAware applications, namely WideNoise for noise measurements and AirProbe for participatory air quality sensing. Basic insights are presented including user activity, learning processes and sensor data to perception correlations. These results provide an outlook on how this data can further be used to understand the connection between sensor data and perceptions. ER - TY - CONF AU - Becker, Martin AU - Mueller, Juergen AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - A Generic Platform for Ubiquitous and Subjective Data T2 - 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings PB - ACM CY - New York, NY, USA PY - 2013/ M2 - VL - IS - SP - 1175 EP - 1182 UR - M3 - 10.1145/2494091.2499776 KW - sitc KW - workshop KW - itegpub KW - EveryAware KW - l3s KW - 2013 KW - myown KW - iteg KW - inproceedings L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Becker, Martin AU - Mueller, Juergen AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - A Generic Platform for Ubiquitous and Subjective Data T2 - 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings PB - ACM CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - workshop KW - everyaware KW - 2013 KW - myown KW - platform L1 - SN - N1 - N1 - AB - 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. ER - TY - JOUR AU - Becker, Martin AU - Caminiti, Saverio AU - Fiorella, Donato AU - Francis, Louise AU - Gravino, Pietro AU - Haklay, Mordechai (Muki) AU - Hotho, Andreas AU - Loreto, Vittorio AU - Mueller, Juergen AU - Ricchiuti, Ferdinando AU - Servedio, Vito D. P. AU - Sîrbu, Alina AU - Tria, Francesca T1 - Awareness and Learning in Participatory Noise Sensing JO - PLoS ONE PY - 2013/12 VL - 8 IS - 12 SP - EP - UR - http://dx.doi.org/10.1371%2Fjournal.pone.0081638 M3 - 10.1371/journal.pone.0081638 KW - widenoise KW - sitc KW - itegpub KW - sensing KW - everyaware KW - l3s KW - 2013 KW - iteg KW - noise L1 - SN - N1 - PLOS ONE: Awareness and Learning in Participatory Noise Sensing N1 - AB -
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.
ER - TY - JOUR AU - Becker, Martin AU - Caminiti, Saverio AU - Fiorella, Donato AU - Francis, Louise AU - Gravino, Pietro AU - Haklay, Mordechai (Muki) AU - Hotho, Andreas AU - Loreto, Vittorio AU - Mueller, Juergen AU - Ricchiuti, Ferdinando AU - Servedio, Vito D. P. AU - Sîrbu, Alina AU - Tria, Francesca T1 - Awareness and Learning in Participatory Noise Sensing JO - PLoS ONE PY - 2013/12 VL - 8 IS - 12 SP - EP - UR - http://dx.doi.org/10.1371%2Fjournal.pone.0081638 M3 - 10.1371/journal.pone.0081638 KW - widenoise KW - sensing KW - everyaware KW - analysis KW - 2013 KW - myown KW - noise L1 - SN - N1 - PLOS ONE: Awareness and Learning in Participatory Noise Sensing N1 - AB -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.
ER - TY - JOUR AU - Becker, Martin AU - Caminiti, Saverio AU - Fiorella, Donato AU - Francis, Louise AU - Gravino, Pietro AU - Haklay, Mordechai (Muki) AU - Hotho, Andreas AU - Loreto, Vittorio AU - Mueller, Juergen AU - Ricchiuti, Ferdinando AU - Servedio, Vito D. P. AU - Sîrbu, Alina AU - Tria, Francesca T1 - Awareness and Learning in Participatory Noise Sensing JO - PLOS ONE PY - 2013/12 VL - 8 IS - 12 SP - EP - UR - M3 - 10.1371/journal.pone.0081638 KW - sitc KW - itegpub KW - EveryAware KW - l3s KW - 2013 KW - article KW - iteg KW - WideNoise L1 - SN - N1 - N1 - AB - The development of ICT infrastructures has facilitated the emergenceof 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. ER - TY - CONF AU - Mueller, Juergen AU - Doerfel, Stephan AU - Becker, Martin AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Tag Recommendations for SensorFolkSonomies T2 - Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings PB - CEUR-WS CY - Aachen, Germany PY - 2013/ M2 - VL - 1066 IS - SP - EP - UR - http://ceur-ws.org/Vol-1066/ M3 - KW - sensor KW - recommender KW - tag KW - everyaware KW - folksonomy KW - 2013 KW - myown L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Mueller, Juergen AU - Doerfel, Stephan AU - Becker, Martin AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Tag Recommendations for SensorFolkSonomies T2 - Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings PB - ACM CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - sitc KW - rsweb KW - everyaware KW - tag KW - l3s KW - iteg KW - myown KW - recommendation KW - RecSys KW - widenoise KW - itegpub KW - sensor KW - folksonomy KW - 2013 L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Mueller, Juergen AU - Doerfel, Stephan AU - Becker, Martin AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Tag Recommendations for SensorFolkSonomies T2 - Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings PB - CEUR-WS CY - Aachen, Germany PY - 2013/ M2 - VL - 1066 IS - SP - EP - UR - http://ceur-ws.org/Vol-1066/ M3 - KW - RecSys KW - itegpub KW - EveryAware KW - l3s KW - 2013 KW - myown KW - iteg KW - inproceedings L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Mueller, Juergen AU - Doerfel, Stephan AU - Becker, Martin AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Tag Recommendations for SensorFolkSonomies T2 - Recommender Systems and the Social Web Workshop at 7th ACM Conference on Recommender Systems, RecSys 2013, Hong Kong, China -- October 12-16, 2013. Proceedings PB - ACM CY - PY - 2013/ M2 - VL - IS - SP - EP - UR - M3 - KW - RecSys KW - widenoise KW - rsweb KW - sensor KW - tag KW - everyaware KW - folksonomy KW - 2013 KW - myown KW - recommendation L1 - SN - N1 - N1 - AB - 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. ER - TY - CONF AU - Atzmueller, Martin AU - Becker, Martin AU - Doerfel, Stephan AU - Kibanov, Mark AU - Hotho, Andreas AU - Macek, Björn-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Scholz, Christoph AU - Stumme, Gerd A2 - T1 - Ubicon: Observing Social and Physical Activities T2 - IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012 PB - IEEE CY - Washington, DC, USA PY - 2012/ M2 - VL - IS - SP - EP - UR - M3 - KW - sitc KW - physical KW - Ubicon KW - IEEE KW - everyaware KW - l3s KW - activities KW - myown KW - itegpub KW - sys:test KW - social KW - ubicon KW - observing KW - 2012 KW - inproceedings L1 - SN - N1 - N1 - AB - The connection of ubiquitous and social computing is an emerging research
area which is combining two prominent areas of computer science.
In this paper, we tackle this topic from different angles: We describe
data mining methods for ubiquitous and social data, specifically
focusing on physical and social activities, and provide exemplary
analysis results. Furthermore, we give an overview on the Ubicon
platform which provides a framework for the creation and hosting
of ubiquitous and social applications for diverse tasks and projects.
Ubicon features the collection and analysis of both physical and
social activities of users for enabling inter-connected applications
in ubiquitous and social contexts. We summarize three real-world
systems built on top of Ubicon, and exemplarily discuss the according
mining and analysis aspects. ER - TY - CONF AU - Atzmueller, Martin AU - Becker, Martin AU - Doerfel, Stephan AU - Kibanov, Mark AU - Hotho, Andreas AU - Macek, Björn-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Scholz, Christoph AU - Stumme, Gerd A2 - T1 - Ubicon: Observing Social and Physical Activities T2 - IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012 PB - IEEE CY - Washington, DC, USA PY - 2012/ M2 - VL - IS - SP - EP - UR - M3 - KW - physical KW - everyaware KW - ubicon KW - social KW - observing KW - activities KW - myown KW - 2012 L1 - SN - N1 - N1 - AB - The connection of ubiquitous and social computing is an emerging research area which is combining two prominent areas of computer science. In this paper, we tackle this topic from different angles: We describe data mining methods for ubiquitous and social data, specifically focusing on physical and social activities, and provide exemplary analysis results. Furthermore, we give an overview on the Ubicon platform which provides a framework for the creation and hosting of ubiquitous and social applications for diverse tasks and projects. Ubicon features the collection and analysis of both physical and social activities of users for enabling inter-connected applications in ubiquitous and social contexts. We summarize three real-world systems built on top of Ubicon, and exemplarily discuss the according mining and analysis aspects. ER - TY - CONF AU - Atzmueller, Martin AU - Becker, Martin AU - Doerfel, Stephan AU - Kibanov, Mark AU - Hotho, Andreas AU - Macek, Björn-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Scholz, Christoph AU - Stumme, Gerd A2 - T1 - Ubicon: Observing Social and Physical Activities T2 - Proc. 4th IEEE Intl. Conf. on Cyber, Physical and Social Computing (CPSCom 2012) PB - CY - PY - 2012/ M2 - VL - IS - SP - EP - UR - M3 - KW - venus KW - physical KW - itegpub KW - ubicon KW - social KW - observing KW - venuspub KW - activities KW - myown KW - 2012 L1 - SN - N1 - N1 - AB - ER -