@inproceedings{Nazemi2014b,

title = {Adaptive Visualization of Linked-Data},

author = {Kawa Nazemi and Dirk Burkhardt and Reimond Retz and Arjan Kuijper and Jörn Kohlhammer},

editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ryan McMahan and Jason Jerald and Hui Zhang and Steven M Drucker and Chandra Kambhamettu and Maha El Choubassi and Zhigang Deng and Mark Carlson},

url = {https://link.springer.com/chapter/10.1007/978-3-319-14364-4_84, Springer link},

doi = {10.1007/978-3-319-14364-4_84},

isbn = {978-3-319-14364-4},

year  = {2014},

date = {2014-03-01},

booktitle = {Proceedings of International Symposium on Visual Computing (ISVC 2014). Advances in Visual Computing.},

pages = {872--883},

publisher = {Springer International Publishing},

address = {Cham},

series = {LNCS 8888},

abstract = {Adaptive visualizations reduces the required cognitive effort to comprehend interactive visual pictures and amplify cognition. Although the research on adaptive visualizations grew in the last years, the existing approaches do not consider the transformation pipeline from data to visual representation for a more efficient and effective adaptation. Further todays systems commonly require an initial training by experts from the field and are limited to adaptation based either on user behavior or on data characteristics. A combination of both is not proposed to our knowledge. This paper introduces an enhanced instantiation of our previously proposed model that combines both: involving different influencing factors for and adapting various levels of visual peculiarities, on content, visual layout, visual presentation, and visual interface. Based on data type and users’ behavior, our system adapts a set of applicable visualization types. Moreover, retinal variables of each visualization type are adapted to meet individual or canonical requirements on both, data types and users’ behavior. Our system does not require an initial expert modeling.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Data Analytics, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction analysis, Interaction Design, personalization, reference model, Semantic visualization, Semantic web, User behavior, User modeling, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2014bb,

title = {Comparison of e-Participation Roadmap in Industrial and Developing Countries Based on Germany and Kenya},

author = {Dirk Burkhardt and Kawa Nazemi and Christopher Klamm and Jörn Kohlhammer and Arjan Kuijper},

url = {http://doi.acm.org/10.1145/2691195.2691209, ACM DL},

doi = {10.1145/2691195.2691209},

isbn = {978-1-60558-611-3},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance},

pages = {399--402},

publisher = {ACM Press},

address = {Guimaraes, Portugal},

series = {ICEGOV '14},

abstract = {This paper compares the E-Participation roadmaps of industrial and developing countries, based on Germany and Kenya as representatives. Therefore, the ICT roadmap of each country is described in a clear shape and with representative E-Participation projects of each country. Based on these projects, the comparison is performed on a categorical level in terms of (1) participation forms, (2) used ICT, and (3) socio-political requirements. Afterwards, the results are summarized to determine an overall view on the E-Participation situation in both countries. As a result of the comparison similarities and significant differences will be identified. The results are useful for software developing organizations that want to create ICT governance tools for industrial as well as developing countries and therefore need to consider the characteristics and requirements of both country types.},

keywords = {digital inclusion, E-Government, E-Participation, information-communication-technologies, public participation, study},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7038782,

title = {Visual explanation of government-data for policy making through open-data inclusion},

author = {Dirk Burkhardt and Kawa Nazemi and Wilhelm Retz and Jörn Kohlhammer},

url = {http://ieeexplore.ieee.org/document/7038782/, IEEE Xplore},

doi = {10.1109/ICITST.2014.7038782},

isbn = {978-1-908320-39-1},

year  = {2014},

date = {2014-01-01},

booktitle = {The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014)},

pages = {83-89},

publisher = {IEEE},

abstract = {Commonly, data used in public authorities are statistical data about certain indicator. Such valid kind of data allows an objective observation about indicator developments over time. In case of a significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In our paper we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data. This enables decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.},

keywords = {eGovernance, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Interaction Design, Policy modeling, Semantic visualization, User-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2014g,

title = {Adaptive Visualization of Social Media Data for Policy Modeling},

author = {Kawa Nazemi and Dirk Burkhardt and Wilhelm Retz and Jörn Kohlhammer},

editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ryan McMahan and Jason Jerald and Hui Zhang and Steven M Drucker and Chandra Kambhamettu and Maha El Choubassi and Zhigang Deng and Mark Carlson},

url = {https://link.springer.com/chapter/10.1007/978-3-319-14249-4_32, Springer link},

doi = {10.1007/978-3-319-14249-4_32},

isbn = {978-3-319-14249-4},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceeding of the International Symposium on Visual Computing (ISVC 2014). Advances in Visual Computing.},

pages = {333--344},

publisher = {Springer International Publishing},

address = {Cham},

series = {LNCS 8887},

abstract = {The visual analysis of social media data emerged a huge number of interactive visual representations that use different characteristics of the data to enable the process of information acquisition. The social data are used in the domain of policy modeling to gather information about citizens' demands, opinions, and requirements and help to decide about political policies. Although existing systems already provide a huge number of visual analysis tools, the search and exploration paradigm is not really clear. Furthermore, the systems commonly do not provide any kind of human centered adaptation for the different stakeholders involved in the policy making process. In this paper, we introduce a novel approach that investigates the exploration and search paradigm from two different perspectives and enables a visual adaptation to support the exploration and analysis process.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Data Analytics, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction analysis, Interaction Design, personalization, Semantic visualization, Semantic web, User behavior, User Interactions, User Interface, User modeling, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi:2014:MCR:2637748.2638416,

title = {Measuring Context Relevance for Adaptive Semantics Visualizations},

author = {Kawa Nazemi and Arjan Kuijper and Marco Hutter and Jörn Kohlhammer and Dieter W. Fellner},

url = {http://doi.acm.org/10.1145/2637748.2638416, ACM DL},

doi = {10.1145/2637748.2638416},

isbn = {978-1-4503-2769-5},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business},

pages = {14:1--14:8},

publisher = {ACM},

address = {Graz, Austria},

series = {i-KNOW '14},

abstract = {Semantics visualizations enable the acquisition of information to amplify the acquisition of knowledge. The dramatic increase of semantics in form of Linked Data and Linked-Open Data yield search databases that allow to visualize the entire context of search results. The visualization of this semantic context enables one to gather more information at once, but the complex structures may as well confuse and frustrate users. To overcome the problems, adaptive visualizations already provide some useful methods to adapt the visualization on users' demands and skills. Although these methods are very promising, these systems do not investigate the relevance of semantic neighboring entities that commonly build most information value. We introduce two new measurements for the relevance of neighboring entities: The Inverse Instance Frequency allows weighting the relevance of semantic concepts based on the number of their instances. The Direct Relation Frequency inverse Relations Frequency measures the relevance of neighboring instances by the type of semantic relations. Both measurements provide a weighting of neighboring entities of a selected semantic instance, and enable an adaptation of retinal variables for the visualized graph. The algorithms can easily be integrated into adaptive visualizations and enhance them with the relevance measurement of neighboring semantic entities. We give a detailed description of the algorithms to enable a replication for the adaptive and semantics visualization community. With our method, one can now easily derive the relevance of neighboring semantic entities of selected instances, and thus gain more information at once, without confusing and frustrating users.},

note = {Honourable Mention},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Data Analytics, data weighting, Information retrieval, semantic processing, Semantic web, Semantics visualization, User Interface, User modeling, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2014f,

title = {Visualization Adaptation Based on Environmental Influencing Factors},

author = {Dirk Burkhardt and Kawa Nazemi and Jose Daniel Encarnacao and Wilhelm Retz and Jörn Kohlhammer},

editor = {Masaaki Kurosu},

url = {https://link.springer.com/chapter/10.1007/978-3-319-07233-3_38, Springer link},

isbn = {978-3-319-07233-3},

year  = {2014},

date = {2014-01-01},

booktitle = {International Conference on Human-Computer (HCI 2014). Human-Computer Interaction. Theories, Methods, and Tools.},

pages = {411--422},

publisher = {Springer International Publishing},

address = {Cham},

series = {LNCS 8510},

abstract = {Working effectively with computer-based devices is challenging, especially under mobile conditions, due to the various environmental influences. In this paper a visualization adaptation approach is described, to support the user under discriminatory environmental conditions. For this purpose, a context model for environmental influencing factors is being defined. Based on this context model, an approach to adapt visualizations in regards of certain environmental influences is being evolved, such as the light intensity, air quality, or heavy vibrations.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, User modeling, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nazemi2013visual,

title = {Visual Variables in Adaptive Visualizations.},

author = {Kawa Nazemi and Jörn Kohlhammer},

editor = {Shlomo Berkovsky and Eelco Herder and Pasquale Lops and Olga C Santos},

url = {http://ceur-ws.org/Vol-997/wuav2013_paper_06.pdf, full text},

issn = {1613-0073},

year  = {2013},

date = {2013-06-01},

booktitle = {21st Conference on User Modeling, Adaptation, and Personalization. UMAP 2013 Extended Proceedings. Proceeding of 1st International Workshop on User-Adaptive Visualizations.},

publisher = {CEUR Workshop Proceedings},

address = {Rome, Italy,},

series = {Vol. 997},

abstract = {Visualizations provide various variables for the adaptation to the usage context and the users. Today’s adaptive visualizations make use of various visual variables to order or filter information or visualizations. However, the capabilities of visual variables in context of human information processing and tasks are not comprehensively exploited. This paper discusses the value of the different visual variables providing beneficial and more accurately adapted information visualizations.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Human Factors, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction analysis, Interaction Design, Semantic visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{burkhardt2013interactive,

title = {Interactive Visualizations in the Process of Policy Modelling.},

author = {Dirk Burkhardt and Kawa Nazemi and Peter Sonntagbauer and Susanne Sonntagbauer and Jörn Kohlhammer},

editor = {Maria Wimmer and Marjin Janssen and Ann Macintosh and Hans J Scholl and Efthimios Tambouris},

url = {https://subs.emis.de/LNI/Proceedings/Proceedings221/104.pdf, LNI GI- full text 

https://pdfs.semanticscholar.org/78a3/e0732eabaeb7c84b50a28a70bcddde40f562.pdf, Semantic scholars - full text},

isbn = {978-3-88579-615-2},

year  = {2013},

date = {2013-01-01},

booktitle = {Electronic Government and Electronic Participation Joint Proceedings of Ongoing Research of IFIP EGOV and IFIP ePart 2013},

pages = {104--115},

publisher = {Gesellschaft für Informatik e.V. (GI)},

keywords = {eGovernance, Interaction Design, Policy modeling, Semantic visualization, Semantic web, User Interactions, User-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sonntagbauer2013gis,

title = {GIS, social Media and Simulation in Integrated ICT Solutions for Urban Futures},

author = {Peter Sonntagbauer and Nikolaus Rumm and Hakan Kagitcioglu and Kawa Nazemi and Dirk Burkhardt},

url = {http://n-aerus.net/web/sat/workshops/2013/PDF/N-AERUS14_Peter_Sonntagbauer.pdf, full text},

year  = {2013},

date = {2013-01-01},

booktitle = {14th N-AERUS Conference. Network Association of European Researchers on Urbanisation in the South.},

publisher = {Network Association of European Researchers on Urbanisation in the South. (n-aerus)},

abstract = {ICT tools and their methods to support the policy lifecycle in urban planning have drastically changed with the emergence of social media, advanced simulation techniques, open government data, big data, opinion mining, advanced text analytics and visualization. All those components should be combined with GIS. Current ICT solutions supporting e-participation and collaborative urban planning are focused on solving a specific problem. They are not integrated neither on the conceptual nor on the technical level. The conceptual level referring to the policy lifecycle, the technical level to data integration and user interface. This paper describes a new integrated approach to policy design and implementation. It consists of an advanced policy lifecycle and an IT-solution with features supporting all phases of the proposed lifecycle. The concept as well as the technical architecture as implemented in the Future Policy Modelling Project (FUPOL) to achieve such a complete integration with separate applications is outlined.},

keywords = {eGovernance, GIS, Policy modeling},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2013b,

title = {Adaptive Semantic Visualization for Bibliographic Entries},

author = {Kawa Nazemi and Reimond Retz and Jürgen Bernard and Jörn Kohlhammer and Dieter W. Fellner},

editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Baoxin Li and Fatih Porikli and Victor Zordan and James Klosowski and Sabine Coquillart and Xun Luo and Min Chen and David Gotz},

url = {https://link.springer.com/chapter/10.1007/978-3-642-41939-3_2, Springer link},

doi = {10.1007/978-3-642-41939-3_2},

isbn = {978-3-642-41939-3},

year  = {2013},

date = {2013-01-01},

booktitle = {Proceedings of International Symposium on Visual Computing (ISVC 2013). Advances in Visual Computing.},

pages = {13--24},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 8034},

abstract = {Adaptive visualizations aim to reduce the complexity of visual representations and convey information using interactive visualizations. Although the research on adaptive visualizations grew in the last years, the existing approaches do not make use of the variety of adaptable visual variables. Further the existing approaches often premises experts, who has to model the initial visualization design. In addition, current approaches either incorporate user behavior or data types. A combination of both is not proposed to our knowledge. This paper introduces the instantiation of our previously proposed model that combines both: involving different influencing factors for and adapting various levels of visual peculiarities, on visual layout and visual presentation in a multiple visualization environment. Based on data type and users’ behavior, our system adapts a set of applicable visualization types. Moreover, retinal variables of each visualization type are adapted to meet individual or canonic requirements on both, data types and users’ behavior. Our system does not require an initial expert modeling.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Data Analytics, Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Interaction analysis, Interaction Design, personalization, Semantic visualization, Semantic web, User behavior, User Interactions, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2013b,

title = {Visual Statistics Cockpits for Information Gathering in the Policy-Making Process},

author = {Dirk Burkhardt and Kawa Nazemi and Christian Stab and Martin Steiger and Arjan Kuijper and Jörn Kohlhammer},

editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Baoxin Li and Fatih Porikli and Victor Zordan and James Klosowski and Sabine Coquillart and Xun Luo and Min Chen and David Gotz},

url = {https://link.springer.com/chapter/10.1007/978-3-642-41939-3_9, Springer link},

doi = {10.1007/978-3-642-41939-3_9},

isbn = {978-3-642-41939-3},

year  = {2013},

date = {2013-01-01},

booktitle = {Proceedings of International Symposium on Visual Computing (ISVC2013). Advances in Visual Computing.},

pages = {86--97},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 8034},

abstract = {A major step in ICT-driven policy making is information gathering. During this phase, analysts and experts have to deal with a high number of statistical data which they use as a basis to identify problems and find appropriate solutions. This paper introduces a statistical data model to support these analysts and experts. It allows for handling the complexity (i.e. the dimensions) of the data for the visualizations. In particular, it helps to use the same data for two-dimensional, but also multi-dimensional statistics visualizations. Based on this statistic data model we introduce an interactive approach of visual statistics cockpits. This results in highly interactive statistics visualization cockpits that enable both analysts and experts to improve problem assessment and solution finding.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2012d,

title = {Towards Process-Oriented Information Visualization For Supporting Users},

author = {Dirk Burkhardt and Tobias Ruppert and Kawa Nazemi},

url = {http://www.icl-conference.org/icl2012/, Conference Site},

doi = {10.1109/ICL.2012.6402080},

isbn = {978-1-4673-2427-4},

year  = {2012},

date = {2012-09-26},

booktitle = {Proceedings of 15th International Conference on Interactive Collaborative Learning (ICL 2012)},

pages = {1-8},

publisher = {IEEE},

address = {Piscataway, NJ, USA},

series = {15},

abstract = {Nowadays daily office work consists of dealing with big numbers of data and data sources, and furthermore of working with complex computer programs. In consequence many users have problems to use such programs effective and efficient. In particular beginners have significant problems to use the programs correctly due to complex functionality and interaction options. To avoid this overload of the user, the Information Visualization community has recently developed some approaches that aim to support the users. Unfortunately, these approaches are limited to one special aspect, and sometimes they are just appropriate for one special task. Thus, in this paper we introduce a process-oriented user-supporting approach. It allows selecting adequate supporting techniques in correlation to a performed process and activity to guide the user and help him to solve his task. Furthermore, we show the benefits of designing programs and applications, which implement process definitions for the existing tasks to provide the user with better process orientation. This guides the user through difficult and complex processes.},

keywords = {Information visualization, Process Adaptation, Process Management, Process Support, Process-oriented Information Visualization, User-Centered Interaction},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2012c,

title = {Interactive Exploration System: A User-Centered Interaction Approach in Semantics Visualizations},

author = {Dirk Burkhardt and Christian Stab and Martin Steiger and Matthias Breyer and Kawa Nazemi},

editor = {Arjan Kuijper and Alexei Sourin},

doi = {10.1109/CW.2012.45},

isbn = {978-0-7695-4814-2},

year  = {2012},

date = {2012-09-25},

booktitle = {Proceedings of the 2012 International Conference on Cyberworlds (Cyberworlds 2012)},

pages = {261--267},

publisher = {IEEE},

address = {Piscataway, NJ, USA},

abstract = {Nowadays a wide range of input devices are available to users of technical systems. Especially modern alternative interaction devices, which are known from game consoles etc., provide a more natural way of interaction. In parallel to that the research on visualization of large amount of data advances very quickly. This research was also influenced by the semantic web and the idea of storing data in a structured and linked form. The semantically annotated data gains more and more importance in information acquisition processes. Especially the Linked Open Data (LOD) format already experienced a huge growth. However, the user-interfaces of web-applications mostly do not reflect the added value of semantics data. This paper describes the conceptual design and implementation of an Interactive Exploration System that offers a user-centered graphical environment of web-based knowledge repositories, to support and optimize explorative learning, and the integration of a taxonomy-based approach to enable the use of more natural interaction metaphors, as they are possible with modern devices like Wii Mote or Microsoft Kinect. Therefore we introduce a different classification for interaction devices, and current approaches for supporting the added values in semantics visualizations. Furthermore, we describe the concept of our IES, including a strategy to organize and structure today's existing input devices, and a semantics exploration system driven by user-experience. We conclude the paper with a description of the implementation of the IES and an application scenario.},

keywords = {Multimodal Interaction, Semantic web, Semantics visualization, User-Centered Systems},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2012,

title = {Dynamic process support based on users' behavior},

author = {Dirk Burkhardt and Kawa Nazemi},

url = {http://ieeexplore.ieee.org/document/6402079/, IEEE Xplore},

doi = {10.1109/ICL.2012.6402079},

isbn = {978-1-4673-2425-0},

year  = {2012},

date = {2012-09-01},

booktitle = {15th International Conference on Interactive Collaborative Learning (ICL)},

pages = {1-6},

abstract = {Nowadays there is a gap between the possibilities and the massively existing data on the one side and the user as main worker on the other side. In different scenarios e.g. search, exploration, analysis and policy-modeling a user has to deal with massive information, but for this work he usually gets a static designed system. So meanwhile data-driven work-processes are increasing in its complexity the support of the users who are working with these data is limited on basic features. Hence this paper describes a concept for a process-supporting approach, which includes relevant aspects of users' behaviors in support him to successfully finish also complex tasks. This will be achieved by a process-based guidance with an automatic tools selection for every process and activity on the one hand. And on the other hand the consideration of expert-level of a user to a single task and process. This expert-level will be classified during each task and process interaction and allow the automatically selection of optimal tools for a concrete task. In final the user gets for every task an automatically initialized user-interface with useful and required tools.},

keywords = {Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Interaction Design, Process Support, User-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Breyer2012c,

title = {Visualizations Encourage Uncertain Users to High Effectiveness},

author = {Matthias Breyer and Jana Birkenbusch and Dirk Burkhardt and Christopher Schwarz and Christian Stab and Kawa Nazemi and Oliver Christ},

editor = {Gavriel Salvendy and Waldemar Karwowski},

url = {https://www.crcpress.com/Advances-in-Human-Factors-and-Ergonomics-2012--14-Volume-Set-Proceedings/Salvendy-Karwowski/p/book/9781466552623, DigLib Site},

isbn = {9781466552623},

year  = {2012},

date = {2012-08-12},

booktitle = {Advances in Human Factors and Ergonomics 2012- 14 Volume Set: Proceedings of the 4th AHFE Conference 21-25 July 2012},

pages = {8066--8074},

publisher = {CRC Press},

address = {Boca Raton, FL, USA},

organization = {Taylor & Francis},

abstract = {Users have to handle a lot of information in order to fulfill their current task. For achieving an appropriate time and level of quality the users’ motivation plays a key role. In this paper we present a user study which aimed to evaluate if the self-rated expertise of the subjects in their computer system skills has an impact on their task completion effectiveness using visualizations. The results reveal that regardless of the self-rated assurance of the users, no significant difference in the effectiveness of task completions using visualizations could be registered. Furthermore the participants indicate in the questionnaire that using visualization their individual satisfaction level had no significant differences when compared to the users’ self-assurance levels. This indicates even users feeling not confident in interacting with computer systems they may feel confident in interacting with visualizations. Thus if visualizations are applied for tasks of information search and exploration, the user is encouraged to higher effectiveness.},

keywords = {effectiveness, Evaluation, Satisfaction, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}