Scientific Publications

@inproceedings{Burkhardt2018a,

title = {Visualizing Law - A Norm-Graph Visualization Approach based on Semantic Legal Data},

author = {Dirk Burkhardt and Kawa Nazemi},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2018vare_i.pdf, Paper as PDF

http://www.scopus.com/inward/record.url?eid=2-s2.0-85056721291&partnerID=MN8TOARS, Link to Publisher},

doi = {10.5281/zenodo.2543729},

isbn = {978-1-5108-7222-6},

year  = {2018},

date = {2018-09-21},

booktitle = {4th International Conference of the Virtual and Augmented Reality in Education (VARE 2018)},

pages = {154-162},

publisher = {CAL-TEK SRL},

address = {Rende, Italy},

series = {4},

abstract = {Laws or in general legal documents regulate a wide range of our daily life and also define the borders of business models and commercial services. However, legal text and laws are almost hard to understand. From other domains it is already known that visualizations can help understanding complex aspects easier. In fact, in this paper we introduce a new approach to visualize legal texts in a Norm-graph visualization. In the developed Norm-graph visualization it is possible to show major aspects of laws and make it easier for users to understand it. The Norm-graph is based on semantic legal data, a so called Legal-Concept-Ontology. },

keywords = {Decision Support Systems, e-Government, Information Visualization, Law Visualization, Norm-graph, Policy Modeling, Semantic Data},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2018,

title = {Juxtaposing Visual Layouts – An Approach for Solving Analytical and Exploratory Tasks through Arranging Visual Interfaces},

author = {Kawa Nazemi and Dirk Burkhardt},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2018vare_ii.pdf, Paper as PDF

http://www.scopus.com/inward/record.url?eid=2-s2.0-85056741373&partnerID=MN8TOARS, Link to Publisher},

doi = {10.5281/zenodo.2542952},

isbn = {978-1-5108-7222-6},

year  = {2018},

date = {2018-09-21},

booktitle = {4th International Conference of the Virtual and Augmented Reality in Education (VARE 2018)},

pages = {144-153},

publisher = {CAL-TEK SRL},

address = {Rende, Italy},

series = {4},

abstract = {Interactive visualization and visual analytics systems enables solving a variety of tasks. Starting with simple search tasks for outliers, anomalies etc. in data to analytical comparisons, information visualizations may lead to a faster and more precise solving of tasks. There exist a variety of methods to support users in the process of task solving, e.g. superimposing, juxtaposing or partitioning complex visual structures. Commonly all these methods make use of a single data source that is visualized at the same time. We propose in this paper an approach that goes beyond the established methods and enables visualizing different databases, data-sets and sub-sets of data with juxtaposed visual interfaces. Our approach should be seen as an expandable method. Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual interfaces to enable solving complex tasks.},

keywords = {Information Visualization, Visual Analytics, Visual Interfaces, Visual Tasks},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2017b,

title = {Informationsvisualisierung und Visual Analytics zur Unterstützung von E-Government Prozessen},

author = {Dirk Burkhardt and Kawa Nazemi},

editor = {Korinna Bade and Matthias Pietsch and Susanne Raabe and Lars Schütz},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2017kat.pdf, Paper as PDF

https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-5439-2&search=yes, Publisher Site

https://dx.doi.org/10.2370/9783844054392, doi:10.2370/9783844054392 (Full Proceedings)},

doi = {10.5281/zenodo.2576074},

isbn = {978-3844054392},

year  = {2017},

date = {2017-01-05},

booktitle = {Technologische Trends im Spannungsfeld von Beteiligung – Entscheidung – Planung: Fachforum DIGITALES PLANEN und GESTALTEN 2017},

pages = {29--38},

publisher = {Shaker Verlag},

address = {Aachen, Germany},

abstract = {Politische und gesellschaftliche Prozesse werden durch Informationen sehr stark geprägt, wie auch die jüngsten Ereignisse aufzeigen. Diese Informationen können, trotz enormer Fortschritte, nicht immer aus den sehr großen, heterogenen und verteilten Daten entnommen werden. „Big Data“ stellt somit auch in der öffentlichen Verwaltung eine immer größere Herausforderung dar. Sowohl durch eine umfangreiche Erhebung von Statistiken, als auch durch Dokumente wie Berichte und Studien, wachsen in Behörden die zu bewältigenden Informationsaufgaben. Darüber hinaus spielt die Berücksichtigung von Bürgermeinungen, vor allem auf kommunaler Ebene, eine immer größere Rolle. Eine Auswertung ohne moderne Informationstechnik ist dabei kaum mehr möglich. Damit aber aus diesen Daten tatsächlich die relevanten Informationen extrahiert werden, bedarf es Informationsvisualisierung und Visual Analytics Systeme die sehr detaillierte, aber dennoch einfache und schnelle Analysen für den Menschen erlauben. Dies stellt aber sehr hohe Anforderungen an die visuellen Systeme, da sie gleichzeitig auch den Nutzer und dessen Fähigkeiten berücksichtigen müssen.},

keywords = {e-Government, e-Participation, Information Visualization, Interactive Visualization, Policy Modeling, Visual Analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2015c,

title = {Visual Trend Analysis with Digital Libraries},

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

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2015iknow.pdf, Paper as PDF},

doi = {10.1145/2809563.2809569},

isbn = {978-1-4503-3721-2},

year  = {2015},

date = {2015-10-21},

urldate = {2015-10-21},

booktitle = {Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business},

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

publisher = {ACM},

address = {New York, NY, USA},

abstract = {The early awareness of new technologies and upcoming trends is essential for making strategic decisions in enterprises and research. Trends may signal that technologies or related topics might be of great interest in the future or obsolete for future directions. The identification of such trends premises analytical skills that can be supported through trend mining and visual analytics. Thus the earliest trends or signals commonly appear in science, the investigation of digital libraries in this context is inevitable. However, digital libraries do not provide sufficient information for analyzing trends. It is necessary to integrate data, extract information from the integrated data and provide effective interactive visual analysis tools. We introduce in this paper a model that investigates all stages from data integration to interactive visualization for identifying trends and analyzing the market situation through our visual trend analysis environment. Our approach improves the visual analysis of trends by investigating the entire transformation steps from raw and structured data to visual representations.},

note = {Honorable Mention of the Demo},

keywords = {Data Mining, Information Extraction, Information Visualization, Trend Analysis, Visual Analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2015,

title = {Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data},

author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters and Artis Aizstrauts and Jörn Kohlhammer},

editor = {Sakae Yamamoto},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2015hcii.pdf, Paper as PDF

http://2015.hci.international, Conference Site},

doi = {10.1007/978-3-319-20612-7_4},

isbn = {978-3-319-20612-7},

year  = {2015},

date = {2015-08-02},

booktitle = {Human Interface and the Management of Information. Information and Knowledge Design},

volume = {9172},

pages = {34--45},

publisher = {Springer International Publishing},

address = {Switzerland},

series = {Lecture Notes in Computer Science, vol 9172},

abstract = {Problem identification and solution finding are major challenges in policy modeling. Statistical indicator-data build the foundation for most of the required analysis work. In particular finding effective and efficient policies that solve an existing political problem is critical, since the forecast validation of the effectiveness is quite difficult. Simulation technologies can help to identify optimal policies for solutions, but nowadays many of such simulators are stand-alone technologies. In this paper we introduce a new visualization approach to enable the coupling of statistical indicator data from Open Government Data sources with simulators and especially simulation result data with the goal to provide an enhanced impact analysis for political analysts and decision makers. This allows, amongst others a more intuitive and effective way of solution finding.},

keywords = {Decision Making, Impact Analysis, Information Visualization, Open Government Data, Policy Modeling, Simulation, Visual Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2014b,

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://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2014isvc-ii.pdf, Paper as PDF},

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

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

year  = {2014},

date = {2014-12-08},

booktitle = {Advances in Visual Computing. ISVC 2014},

volume = {8887},

pages = {333--344},

publisher = {Springer International Publishing},

address = {Switzerland},

series = {Lecture Notes in Computer Science, vol 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 = {Information Visualization, Policy Modeling, Search Paradigm, Social Media Data, Visual Variable},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2014,

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://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2014isvc-i.pdf, Paper as PDF},

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

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

year  = {2014},

date = {2014-12-08},

booktitle = {Advances in Visual Computing. ISVC 2014},

volume = {8888},

pages = {872--883},

publisher = {Springer International Publishing},

address = {Switzerland},

series = {Lecture Notes in Computer Science, vol 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 = {Application Scenario, Information Visualization, User Model, Visual Representation, Visual Search},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2014c,

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 = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2014icitst.pdf, Paper as PDF},

doi = {10.1109/ICITST.2014.7038782},

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

year  = {2014},

date = {2014-12-08},

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

pages = {83-89},

publisher = {IEEE},

address = {Piscataway, NJ, USA},

organization = {Infonomics Society},

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 = {Decision Making, e-Government, Information Visualization, Linked-Open Data Visualization, Open Government Data Visualization, Policy Modeling, Rule Generation},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2014b,

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 = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2014icegov.pdf, Paper as PDF},

doi = {10.1145/2691195.2691209},

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

year  = {2014},

date = {2014-10-27},

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

pages = {399--402},

publisher = {ACM},

address = {New York, NY, USA},

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 and Communication Technologies, Public Participation, Study},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ginters2014,

title = {Fupol Simulators and Advanced Visualization Framework Integration},

author = {Egils Ginters and Artis Aizstrauts and Mikelis Baltruks and Kawa Nazemi and Dirk Burkhardt and Peter Sonntagbauer and Susanne Sonntagbauer and Jorge Martin Gutierrez},

editor = {Michael Affenzeller},

url = {https://dirk.burkhardt.xyz/wp-content/uploads/2018/11/2014emss.pdf, Paper as PDF

http://www.msc-les.org/conf/emss2014/, Conference Site},

isbn = {978-1-63439-314-0},

year  = {2014},

date = {2014-09-20},

booktitle = {26th European Modeling and Simulation Symposium, EMSS 2014: Held at the International Multidisciplinary Modeling and Simulation Multiconference},

pages = {523--529},

publisher = {Curran},

address = {Red Hook, NY, },

organization = {International Multidisciplinary Modeling and Simulation Multiconference (I3M)},

abstract = {FP7 FUPOL project No.287119 (see www.fupol.eu) aims at a new approach to traditional politics modeling. The FUPOL will be able to automatically collect, analyze and interpret opinions expressed on a large scale from the Internet and social networks. This will enable governments to gain a better understanding of the needs of citizens. Likewise the software will have the capabilities to simulate the effects of policies and laws and to assist governments in the whole policy design process. Basic visualization of the simulation results are supported by the simulators however visualization facilities are limited, therefore for detailed visual analysis of simulation data SemasVis environment is used.},

keywords = {Policy Modeling, SemaVis, Simulation, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}