| 4. | Artis Aizstrauts; Dirk Burkhardt; Egils Ginters; Kawa Nazemi On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator Inproceedings In: Janis Grabis; Andrejs Romanovs; Galina Kulesova (Ed.): 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), pp. 1-4, IEEE, 2020, ISBN: 978-1-7281-9105-8. @inproceedings{Aizstrauts2020c,
title = {On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator},
author = {Artis Aizstrauts and Dirk Burkhardt and Egils Ginters and Kawa Nazemi},
editor = {Janis Grabis and Andrejs Romanovs and Galina Kulesova},
doi = {10.1109/ITMS51158.2020.9259299},
isbn = {978-1-7281-9105-8},
year = {2020},
date = {2020-11-19},
booktitle = {2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)},
pages = {1-4},
publisher = {IEEE},
abstract = {Urban transport infrastructure nowadays involves environmentally friendly modes of transport, the most democratic of which is cycling. Citizens will use bicycles if a reasonably designed cycle path scheme will be provided. Cyclists also need to know the characteristics and load of the planned route before the trip. Prediction can be provided by simulation, but it is often necessary to use heterogeneous and distributed models that require a specific communication environment to ensure interaction. The article describes the easy communication environment that is used to provide microservices communication and data exchange in a bicycle route design and maintenance multi-level simulator.},
keywords = {Easy Communication Environment, microservice architecture, Simulation},
pubstate = {published},
tppubtype = {inproceedings}
}
Urban transport infrastructure nowadays involves environmentally friendly modes of transport, the most democratic of which is cycling. Citizens will use bicycles if a reasonably designed cycle path scheme will be provided. Cyclists also need to know the characteristics and load of the planned route before the trip. Prediction can be provided by simulation, but it is often necessary to use heterogeneous and distributed models that require a specific communication environment to ensure interaction. The article describes the easy communication environment that is used to provide microservices communication and data exchange in a bicycle route design and maintenance multi-level simulator. |
| 3. | Dirk Burkhardt; Kawa Nazemi; Egils Ginters Best-Practice Piloting Based on an Integrated Social Media Analysis and Visualization for E-Participation Simulation in Cities Journal Article In: Procedia Computer Science. 2015 International Conference Virtual and Augmented Reality in Education, vol. 75, pp. 66 - 74, 2015, ISSN: 1877-0509. @article{Burkhardt2015e,
title = {Best-Practice Piloting Based on an Integrated Social Media Analysis and Visualization for E-Participation Simulation in Cities},
author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters},
editor = {Eduardo González Mendívil and Pablo Guillermo Ramírez Flores and Jorge Martín Gutiérrez and Egils Ginters},
doi = {10.1016/j.procs.2015.12.214},
issn = {1877-0509},
year = {2015},
date = {2015-11-19},
journal = {Procedia Computer Science. 2015 International Conference Virtual and Augmented Reality in Education},
volume = {75},
pages = {66 - 74},
abstract = {E-Participation and the engagement of citizens in politics are on the agenda in many countries. Therefore, a number of project and programs were initiated that aim at finding creative and effective solutions for involving citizens. One intended aspect is the provision of transparency that enables citizens to analyze socio-economical indicators and serves as basement for initial data storing for e-participation scenarios simulation. A beyond going step is to consider citizens’ opinions in the policy making process. Unfortunately this will only be possible; if a significant number of citizens know what concrete aspect should be realized. The growth and establishment of social media nowadays allow most people to discuss political ideas and critics virtually and anonymously achieving higher credibility of the data usable for policy making. However, the major barrier is the different topical languages, the representatives’ role and weak visualization of the results. This article dealt with a best-practice piloting approach for discussing and realizing innovative solutions with a variety of stakeholders from different domains. The core of this paper is how to deal and manage the different perspective on development process, to aim on designing a common set of requirements and development procedure. The methodology is practically and beneficial applied as social media integration solution in the EC FP7 FUPOL research project.},
keywords = {E-Participation, Policy Making, Semantic visualization, Simulation},
pubstate = {published},
tppubtype = {article}
}
E-Participation and the engagement of citizens in politics are on the agenda in many countries. Therefore, a number of project and programs were initiated that aim at finding creative and effective solutions for involving citizens. One intended aspect is the provision of transparency that enables citizens to analyze socio-economical indicators and serves as basement for initial data storing for e-participation scenarios simulation. A beyond going step is to consider citizens’ opinions in the policy making process. Unfortunately this will only be possible; if a significant number of citizens know what concrete aspect should be realized. The growth and establishment of social media nowadays allow most people to discuss political ideas and critics virtually and anonymously achieving higher credibility of the data usable for policy making. However, the major barrier is the different topical languages, the representatives’ role and weak visualization of the results. This article dealt with a best-practice piloting approach for discussing and realizing innovative solutions with a variety of stakeholders from different domains. The core of this paper is how to deal and manage the different perspective on development process, to aim on designing a common set of requirements and development procedure. The methodology is practically and beneficial applied as social media integration solution in the EC FP7 FUPOL research project. |
| 2. | Dirk Burkhardt; Kawa Nazemi; Egils Ginters; Artis Aizstrauts; Jörn Kohlhammer Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data Inproceedings In: Sakae Yamamoto (Ed.): International Conference on Human Interface and the Management of Information (HIMI 2015). Information and Knowledge Design., pp. 34–45, Springer International Publishing, Cham, 2015, ISBN: 978-3-319-20612-7. @inproceedings{10.1007/978-3-319-20612-7_4,
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},
doi = {10.1007/978-3-319-20612-7_4},
isbn = {978-3-319-20612-7},
year = {2015},
date = {2015-03-01},
booktitle = {International Conference on Human Interface and the Management of Information (HIMI 2015). Information and Knowledge Design.},
pages = {34--45},
publisher = {Springer International Publishing},
address = {Cham},
series = {LNCS 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 = {Exploration, Semantics visualization, Simulation, User behavior, User Interactions, User Interface, User-centered design, Visual analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
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. |
| 1. | Kawa Nazemi; Dirk Burkhardt; Egils Ginters; Jorn Kohlhammer Semantics Visualization – Definition, Approaches and Challenges Journal Article In: Procedia Computer Science, vol. 75, pp. 75 - 83, 2015, ISSN: 1877-0509, (2015 International Conference Virtual and Augmented Reality in Education). @article{NAZEMI201575,
title = {Semantics Visualization – Definition, Approaches and Challenges},
author = {Kawa Nazemi and Dirk Burkhardt and Egils Ginters and Jorn Kohlhammer},
url = {http://www.sciencedirect.com/science/article/pii/S1877050915036777, Elsevier Science Direct https://www.sciencedirect.com/science/article/pii/S1877050915036777/pdf?md5=b7e921e7548cdf69e35324864b0b2ea1&pid=1-s2.0-S1877050915036777-main.pdf, full text},
doi = {https://doi.org/10.1016/j.procs.2015.12.216},
issn = {1877-0509},
year = {2015},
date = {2015-01-01},
journal = {Procedia Computer Science},
volume = {75},
pages = {75 - 83},
abstract = {The visualization of the simulation results must be done in conformity with beneficiaries perception and professional domain understanding. It means that right data must be identified before. Semantic technologies provide new ways for accessing data and acquiring knowledge. The underlying structures allow finding information easier, gathering meanings and associations of the data entities and associating the data to users’ knowledge. Even though the focus of the research in this area is more to provide “machine readable” data, human-centered systems benefit from the technologies too. Especially graphical representations of the semantically structured data play a key-role in today's research. The meaningful relations of data entities and the meaningful and labeled clustering of data in form of semantic concepts enable new ways to visualize data. With these new ways, various challenges are related with deploying semantics visualizations beyond analytical search and simulation. The goal is to give a common understanding of the term semantics as it is used in semantic web. This paper dealt with the general idea of semantics visualization. First a short introduction to semantic formalisms is given followed by a general definition. Subsequently approaches and techniques of existing semantics visualizations are presented, where-as a new classification is introduced to describe the techniques. The article concludes with future challenges in semantics visualization focusing on users, data and tasks.},
note = {2015 International Conference Virtual and Augmented Reality in Education},
keywords = {Semantic visualization, Simulation, Visual analytics, Visualization and virtualization},
pubstate = {published},
tppubtype = {article}
}
The visualization of the simulation results must be done in conformity with beneficiaries perception and professional domain understanding. It means that right data must be identified before. Semantic technologies provide new ways for accessing data and acquiring knowledge. The underlying structures allow finding information easier, gathering meanings and associations of the data entities and associating the data to users’ knowledge. Even though the focus of the research in this area is more to provide “machine readable” data, human-centered systems benefit from the technologies too. Especially graphical representations of the semantically structured data play a key-role in today's research. The meaningful relations of data entities and the meaningful and labeled clustering of data in form of semantic concepts enable new ways to visualize data. With these new ways, various challenges are related with deploying semantics visualizations beyond analytical search and simulation. The goal is to give a common understanding of the term semantics as it is used in semantic web. This paper dealt with the general idea of semantics visualization. First a short introduction to semantic formalisms is given followed by a general definition. Subsequently approaches and techniques of existing semantics visualizations are presented, where-as a new classification is introduced to describe the techniques. The article concludes with future challenges in semantics visualization focusing on users, data and tasks. |
