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{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{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{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{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}

}