Projects @ ieg

Ongoing Projects

CVAST aims to design and  develop innovative methods for data interpretation to capture the daily flood of information in interactive visualizations and analyses. Scenarios that involve temporal properties of such data are in the focus of our scientific interest.
Analysis of historic air photos (images) with the goal of detecting unexploded bombs is a niche task, yet extremely important for preventing great damage or even loss of life. The computer science techniques and software tools currently available are of general nature, like Geographic Information Systems (GIS) and graphics editing programs.
The questions of how music acts in the urban context as a social identification instrument and how music is functionalized to urban symbolic politics form the starting point of the research project conducted by the MUK (Music and Arts University of The City of Vienna). The music component of mental determination of urbanity is created using the example of City of Vienna: How the "sensual" medium of music, generator of atmosphere and mood, produces not only ideological subjects, but also the notion of specific urban spheres?
Nowadays increasing amounts of data about complex phenomena are collected, stored, and made available for analysis.  Visual Analytics (VA), “the science of analytical reasoning facilitated by interactive visual interfaces”, is a multidisciplinary approach to make sense of this data, combining the enormous processing power of computers with the outstanding perceptual and cognitive capabilities of humans. Users of VA systems need to rely on prior knowledge to gain insights from data, formulate and test hypotheses, interpret results, and discover new knowledge.
Web-based databases of museums’ and cultural institutions’ collections enable fast access to important cultural assets for everyone: Millions of paintings, sculptures, music, and artworks can be reached with only a few clicks. Current research shows that interested visitors like to explore digital collections - often without a concrete goal. They like their observations to add up and make sense and to learn something new.
The overarching objective of this research project is the combination of the three most relevant steps in the process of segmenting and labeling multivariate time series: algorithm selection, parametrization, and uncertainty analysis. Each of these steps is a research problem on its own, and we will contribute novel solutions to all of them. However, only the combination of the different aspects will comprehensively address the important challenge of visual analytics as identified by Jarke van Wijk: "Which model? Which parametrization?

Finished Projects

User and task analysis To illustrate the problem, all tasks and the currently used software were investigated. We found many usability problems in the existing software system (SAP CRM). The process of an incoming call is illustrated here:
Based on the Software Prototype CareVis, this project is an approach to communicate the complex logic of Asbruplans to domain experts like physicians or nursing staff. 
We provide multiple simultaneous views to cover different aspects of a complex underlying data structure of treatment plans and patient data. The tightly coupled views use visualization methods well-known to domain experts and are designed to facilitate users' tasks. CareVis enables a meaningful navigation, provides annotations on demand for not overwhelming the viewer, and helps to keep orientation by using focus+context techniques, thus increasing the flexibility in working with treatment plans and patient data.
Like in many other domains, computerization is seen as a means to facilitate the effective use of Clinical Practice Gudelines (CPGs). Therefore, transforming CPGs in a machine-readable and executable format has been the gist of research. Consequently, many guideline representation languages are developed and modelling tools are designed which convert CPGs in their corresponding models defined in these guideline representation languages. Available modelling tools are restricted in the way that they only allow a manual computerization process.
The aim of this project is the implementation of the “Digital Aided Guide for Fathers-to-be” in several participating partner countries. This guide has been well established in Austria since 2004 and has evolved from a project at the Danube University Krems (Austria). In order to achieve a successful market launch, the project’s partners from Poland, the Czech Republic, Romania and the Netherlands will adopt the Austrian service according to their national cultural, social and legal circumstances.
The main purpose of this student project is a wrapper that transforms complex HTML tables into an XML format. The complexity of the HTML tables is defined by the occurrence of spanned cells.
The capabilities to generate and collect data and information have seen an explosive growth and overwhelm traditional methods of data analysis such as spreadsheets, ad-hoc queries, or simple visualizations. Exploring trends, patterns, and relationships are particularly important when dealing with large amounts of data. The human perceptual system is highly sophisticated and specifically suited to spot visual patterns.
In recent years, Environmental Informatics has emerged as a new interdisciplinary research field that can facilitate decisions regarding social, economic, ecological, and environmental goals based on a variety of information technology measures.
DQT supports the creation of such databases as well as their presentation and includes the following features:
To pave the way for future experimenters in the HCI field, the Java software library EvalBench was developed that focused on flexibility and reusability and should be easy to integrate into existing Java visualization applications.
In this project we propose a methodology that supports guideline users during the decision-making process on the basis of a semi-formal representation of the evidence information that can be found in Clinical Practice Guidelines (CPGs). A semi-formal representation is required to handle evidence information in computer-interpretable guideline representation languages. For this purpose, we have developed a meta schema that covers various kinds of grading systems including graded and ungraded evidence informaton.
The goal of the proposed project is the experimental application and further development of promising approaches in the area of semi-automatic creation of computer-interpretable clinical guidelines and the execution of evidence-based recommendations. We expect contributions to ease the creation of computer-interpretable guidelines and support of the medical staff in their daily routine and decision-making.
The distributed nature of modern research and development has lead to a highly differentiated knowledge and technology landscape, which forms the complex and continuously evolving environment for individual and organizational actors in the economy, science, and technology realm. Public patent databases, which are regulating these developments by ongoing accumulation of semi-structured patent documents, are a rich source of information that has not been sufficiently leveraged for synoptic science and business analytical tasks yet.
The comparison of several stocks against each other is an important task in financial analysis. The data is usually compared by juxtaposition or by superimposition. But even a large enough difference between the price ranges can make a simple comparison of the data difficult. Stock market data is not limited to stocks. It also includes stock (market) indices such as the Dow Jones and NASDAQ. Stock indices have their own proprietary unit, which is different to the unit of a stock. Time series which have different units are also called heterogeneous data.
The Java Swing element "JTree" allows representation and navigation in tree structures. But as soon as the amount of hierarchical data structures increases (e.g. the file system) one can easily lose overview and orientation while navigating through different nodes on deep hierarchic levels.
The main purpose of the Guideline Overview Tool (GOT) is to provide a compact overview that is easy to read and comprehend in order to support physicians in executing and analyzing therapies with clinical guidelines. This overview has two main functions:
Multivariate, time-oriented data plays a central role in many domains such as medicine, finance, or environmental engineering. Information Visualization can be an instrument to make such vast datasets intuitively comprehensible. As the number of time series increases, visualizations need to be space-efficient. Horizon graphs [Reijner, 2008] are an innovative approach to reduce required space by dividing the a chart into bands and layering these.
The primary goal of Visual Analytics is the close intertwinedness of human reasoning and automated methods. Our goal in HypoVis is the design and development of a Visual Analytics process that uses the inherent structure contained in time-oriented data as a way to improve the integration of human reasoning. This structure can, for example, be seen in the calendar aspect of time being composed of smaller granularities, like years and seasons. Our focus is the generation of models from hypotheses, consisting of bringing the hypotheses into an automated system, and validating it.
ManageCategories: Categorizing Articles without Knowledge of Wikimarkup. ImagePlus: Adding / Manipulating of Images using without Knowledge of Wikimarkup using HTML Objects. Research and Evaluation of existing WYSWYG Extensions for Mediawiki
Users are confronted with a huge amount of abstract, but highly structured data. They want to accomplish different kinds of tasks, where they need different interactions and navigations as well as different views of the same data to gain more insight into the data under investigation.  These processes of investigation are very complex and only little guidance exists. Therfore our aims are
Many approaches to solve the problem of visualizing time-oriented data have been published in recent time, creating the need to categorize not only the methods to visualize time-oriented data but also the information visualization tools available on the market. Because of the difficulty of comparing such tools no agreement on a common categorization has been reached. This master's thesis uses a recently published categorization to perform a detailed comparison of several visualization tools, focusing on the temporal aspects of data.
Using editable-by-anyone Wiki technology turned out to be the only way of keeping the presented information up to date and knowledge exchange vivid. InfoVis:Wiki Main Page   Publications
iUMLS provides an API to enhance, modify, and serialize the output of the MMTx program.
Modeling clinical guidelines and protocols in a computer-interpretable format is a challenging, but burdensome and time-consuming task. Existing methods and tools to support this task demand detailed medical knowledge, knowledge about the formal representations, and a manual modeling. Furthermore, formalized guideline documents mostly fall far short in terms of readability and understandability for the human domain modeler.
The MMTx program [1] tokenizes free text of medical documents into phrases and maps UMLS concepts [3] to the medical concepts identified within these phrases. Due to the complexity of this task, it is still necessary to correct parts of the tokenization as well as the mapping of UMLS concepts.
  MetaDataEditor uses a prototypical XML-based framework which allows gathering following metadata concerning:
MobiGuide (MG) will develop a patient guidance system that integrates hospital and monitoring data into a Personal Health Record (PHR) accessible by patients and care providers and provide personalized secure clinical-guideline-based guidance also outside clinical environments. MG's ubiquity will be achieved by having a Decision Support System (DSS) at the back end, and on the front end by utilizing Body Area Network (BAN) technology and developing a coordinated light-weight DSS that can operate independently. Personalization will be achieved by considering patient preferences and context. Retrospective data analysis will be used to assess compliance and to indicate care pathways shown to be beneficial for certain patient context.
NegHunter is a program to detect negated concepts in medical documents using syntactical methods.
The general aim of the project is to use innovative ICT-based methods and models for clinical governance in oncology, by designing and developing a system for supporting and controlling the best evidence-based oncological care process. The system is based on electronic guidelines and recommendations and will be integrated with clinical information systems (CIS) to manage the oncological patients.
If we surf the web we can find PDF files in heaps. Once technical details of an amazing five mega pixel digital camera, once a statistic about the last two years incomes of an enterprise, and once a brilliant crime novel of Sir Arthur Conan Doyle is saved in a PDF file. The widespread use of this file format takes the focus on the question of how to reuse the data in such a file. Many things are already done in this area. For example, there are several tools that convert PDF-files to other formats.
  The visualization was developed with two open-source toolkits: The InfoVis Toolkit and Prefuse. The InfoVis Toolkit provides a memory saving data table used to store abstract data, prefuse is the base framework for all graphical issues. The application was developed in the scope of a thesis about temporal uncertainties in plans. Generally, there are three ways on how to treat temporal uncertainties:
Wikipedia - the most famous free encyclopedia - has been grown to the biggest wiki community site where hundreds of thousands of users all around the world post and edit articles in many different languages. As other online communities have troubles motivating users to participate actively, the tremendous contribution rate on Wikipedia has led to many problems like wrong information, copyright violations, or users' misbehavior, for example, spammers or trolls.
TimeBench is a free and open source software library that provides foundational data structures and algorithms for time-oriented data in Visual Analytics. Its expressiveness and developer accessibility have been evaluated through application examples demonstrating a variety of challenges with time-oriented data and long-term developer studies conducted in the scope of research and student projects.  
The aim of this project was to develop a program, which helps to show the development of medical parameters over time. These (30) parameters result from examinations of patients who are treated for diabetes. The examinations take place in irregular intervals from six weeks up to three months. Visualization
  Particularly the requirements were:
Timetables for trains or airplanes are often represented astextual tables. These contain usually all important information, however it is often not easy to find answersto more specific questions, like for example - "which train should I taketo travel from Vienna to Paris as quick as possible without changing the train twice?" - Humans can process visual information better than text and that?s why our application shall facilitate the process of understanding and searching a timetable.
TrainVis facilitates the visualization of railway timetables using several different types of representations.
The water supply company of an city in north-west China has commissioned KSC to build a remotely controlled system for monitoring of the water quality. The water quality is measured by measuring probes supplied by the company s::can. The main tasks of the system are retrieving, storing, visualization and delivery of data from s::can measuring probes. The following individual components are used: 1. SCADA system 2. Interface server 3. database 4. s::can server 5. Visualization cliente
The research project VIENA (Visual Enterprise Network Analytics) aims to develop and test a prototype software of visual network analysis that will be capable to support organizational consulting services. As its focus will be the visualization of change, its main purpose is the display and evaluation of change management processes.
VisMaster is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems.
This project is part of the research project VisuExplore, which is dealing with the interactive visualization of patient data to assist physicians and medical staff. Prototype: The visualization techniques have been developed in the Midgaard project but so far only been implemented in Flash to demonstrate the idea of the concept.
The application of modern technology in clinical practice leads to a massive increase in quantity and complexity of electronically acquired medical data and information. Current commercial clinical information systems are faced with the explosion of available medical data and users of these systems ask for alternative, more intuitive solutions.