004 Datenverarbeitung; Informatik
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Currently, there are a variety of digital tools in the humanities, such
as annotation, visualization, or analysis software, which support researchers in their work and offer them new opportunities to address different research questions. However, the use of these tools falls far
short of expectations. In this thesis, twelve improvement measures are
developed within the framework of a design science theory to counteract the lack of usage acceptance. By implementing the developed design science theory, software developers can increase the acceptance of their digital tools in the humanities context.
The flexible integration of information from distributed and complex information systems poses a major challenge for organisations. The ontology-based information integration concept SoNBO (Social Network of Business Objects) developed and presented in this dissertation addresses these challenges. In an ontology-based concept, the data structure in the source systems (e.g. operational application systems) is described with the help of a schema (= ontology). The ontology and the data from the source systems can be used to create a (virtualised or materialised) knowledge graph, which is used for information access. The schema can be flexibly adapted to the changing needs of a company regarding their information integration. SoNBO differs from existing concepts known from the Semantic Web (OBDA = Ontology-based Data Access, EKG = Enterprise Knowledge Graph) both in the structure of the company-specific ontology (= Social Network of Concepts) as well as in the structure of the user-specific knowledge graph (= Social Network of Business Objects) and makes use of social principles (known from Enterprise Social Software). Following a Design Science Research approach, the SoNBO framework was developed and the findings documented in this dissertation. The framework provides guidance for the introduction of SoNBO in a company and the knowledge gained from the evaluation (in the company KOSMOS Verlag) is used to demonstrate its viability. The results (SoNBO concept and SoNBO framework) are based on the synthesis of the findings from a structured literature review and the investigation of the status quo of ontology-based information integration in practice: For the status quo in practice, the basic idea of SoNBO is demonstrated in an in-depth case study about the engineering office Vössing, which has been using a self-developed SoNBO application for a few years. The status quo in the academic literature is presented in the form of a structured literature analysis on ontology-based information integration approaches. This dissertation adds to theory in the field of ontology-based information integration approaches (e. g. by an evaluated artefact) and provides an evaluated artefact (the SoNBO Framework) for practice.
In the context of augmented reality we define tracking as a collection of methods to obtain the position and orientation (pose) of a user. By means of various displaying techniques, this ensures a correct visual overlay of graphical information onto the reality perceived. Precise results for calculation of the camera pose are gained by methods of image processing, usually analyzing the pixels of an image and extracing features, which can be recognized over the image sequence. However, these methods do not regard the process of image synthesis or at least in a very simplyfied way. In contrast, the class of model-based methods assumes a given 3D model of the observed scene. Based on the model data features can be identified to establish correspondences in the camera image. From these feature correspondences the camera pose is calculated. An interesting approach is the strategy of analysis-by-synthesis, regarding the computer graphics rendering process for extending the knowledge about the model by information from image synthesis and other environment variables.
In this thesis the components of a tracking system are identified and further it is analyzed, to what extend information about the model, the rendering process and the environment can contribute to the components for improvement of the tracking process using analysis-by-synthesis. In particular, by using knowledge as topological information, lighting or perspective, the feature synthesis and correspondence finding should lead to visually unambiguous features that can be predicted and evaluated to be suitable for stable tracking of the camera pose.
Retrospektive Analyse der Ausbreitung und dynamische Erkennung von Web-Tracking durch Sandboxing
(2018)
Aktuelle quantitative Analysen von Web-Tracking bieten keinen umfassenden Überblick über dessen Entstehung, Ausbreitung und Entwicklung. Diese Arbeit ermöglicht durch Auswertung archivierter Webseiten eine rückblickende Erfassung der Entstehungsgeschichte des Web-Trackings zwischen den Jahren 2000 und 2015. Zu diesem Zweck wurde ein geeignetes Werkzeug entworfen, implementiert, evaluiert und zur Analyse von 10000 Webseiten eingesetzt. Während im Jahr 2005 durchschnittlich 1,17 Ressourcen von Drittparteien eingebettet wurden, zeigt sich ein Anstieg auf 6,61 in den darauffolgenden 10 Jahren. Netzwerkdiagramme visualisieren den Trend zu einer monopolisierten Netzstruktur, in der bereits ein einzelnes Unternehmen 80 % der Internetnutzung überwachen kann.
Trotz vielfältiger Versuche, dieser Entwicklung durch technische Maßnahmen entgegenzuwirken, erweisen sich nur wenige Selbst- und Systemschutzmaßnahmen als wirkungsvoll. Diese gehen häufig mit einem Verlust der Funktionsfähigkeit einer Webseite oder mit einer Einschränkung der Nutzbarkeit des Browsers einher. Mit der vorgestellten Studie wird belegt, dass rechtliche Vorschriften ebenfalls keinen hinreichenden Schutz bieten. An Webauftritten von Bildungseinrichtungen werden Mängel bei Erfüllung der datenschutzrechtlichen Pflichten festgestellt. Diese zeigen sich durch fehlende, fehlerhafte oder unvollständige Datenschutzerklärungen, deren Bereitstellung zu den Informationspflichten eines Diensteanbieters gehören.
Die alleinige Berücksichtigung klassischer Tracker ist nicht ausreichend, wie mit einer weiteren Studie nachgewiesen wird. Durch die offene Bereitstellung funktionaler Webseitenbestandteile kann ein Tracking-Unternehmen die Abdeckung von 38 % auf 61 % erhöhen. Diese Situation wird durch Messungen von Webseiten aus dem Gesundheitswesen belegt und aus technischer sowie rechtlicher Perspektive bewertet.
Bestehende systemische Werkzeuge zum Erfassen von Web-Tracking verwenden für ihre Messung die Schnittstellen der Browser. In der vorliegenden Arbeit wird mit DisTrack ein Framework zur Web-Tracking-Analyse vorgestellt, welches eine Sandbox-basierte Messmethodik verfolgt. Dies ist eine Vorgehensweise, die in der dynamischen Schadsoftwareanalyse erfolgreich eingesetzt wird und sich auf das Erkennen von Seiteneffekten auf das umliegende System spezialisiert. Durch diese Verhaltensanalyse, die unabhängig von den Schnittstellen des Browsers operiert, wird eine ganzheitliche Untersuchung des Browsers ermöglicht. Auf diese Weise können systemische Schwachstellen im Browser aufgezeigt werden, die für speicherbasierte Web-Tracking-Verfahren nutzbar sind.
Virtueller Konsum - Warenkörbe, Wägungsschemata und Verbraucherpreisindizes in virtuellen Welten
(2015)
Virtual worlds have been investigated by several academic disciplines for several years, e.g. sociology, psychology, law and education. Since the developers of virtual worlds have implemented aspects like scarcity and needs, even economic research has become interested in these virtual environments. Exploring virtual economies mainly deals with the research of trade regarding the virtual goods used to supply the emerged needs. On the one hand, economics analyzes the meaning of virtual trade according to the overall interpretation of the economical characteristics of virtual worlds. As some virtual worlds allow the change of virtual world money with real money and vice versa, virtual goods are traded by the users for real money, researchers on the other hand, study the impact of the interdependencies between virtual economies and the real world. The presented thesis mainly focuses on the trade within virtual worlds in the context of virtual consumption and the observation of consumer prices. Therefore, the four virtual worlds World of Warcraft, RuneScape, Entropia Universe and Second Life have been selected. There are several components required to calculate consumer price indices. First, a market basket, which contains the relevant consumed goods existing in virtual worlds, must be developed. Second, a weighting scheme has to be established, which shows the dispersion of consumer tendencies. Third, prices of relevant consumer goods have to be taken. Following real world methods, it is the challenge to apply those methods within virtual worlds. Therefore, this dissertation contains three corresponding investigation parts. Within a first analysis, it will be evaluated, in how far virtual worlds can be explored to identify consumable goods. As a next step, the consumption expenditures of the avatars will be examined based on an online survey. At last, prices of consumable goods will be recorded. Finally, it will be possible to calculate consumer price indices. While investigating those components, the thesis focuses not only on the general findings themselves, but also on methodological issues arising, like limited access to relevant data, missing legal legitimation or security concerns of the users. Beside these aspects, the used methods also allow the examination of several other economic aspects like the consumption habits of the avatars. At the end of the thesis, it will be considered to what extent virtual world economic characteristics can be compared with the real world.
Aspects like the important role of weapons or the different usage of food show significant differences to the real world, caused by the business models of virtual worlds.
The goal of this thesis is the development of methods for augmented image synthesis using 3D photo collections. 3D photo collections are representations of real scenes automatically generated from single photos and describe a scene as a set of images with known camera poses as well as a sparse point-based model of the scene geometry. The main goal is to perform a photo-realistic augmented image synthesis of real and virtual parts, where the real scene is provided as a 3D photo collection. Therefore, three main problems are addressed.
Since the photos may be represented in different device-specific RGB color spaces, a color characterization of the 3D photo collections is necessary to gain correct color information that is consistent with human perception. The proposed novel method automatically transforms all images into a common RGB color space and thereby simplifies color characterization of 3D photo collections.
As a main problem for augmented image synthesis, all environmental lighting has to be known in order to apply illumination to virtual parts that is consistent with the real portions shown in the photos. To solve this problem, two novel methods were developed to reconstruct the lighting from 3D photo collections.
In order to perform image synthesis for arbitrary views on the scene, an image-based approach was developed that generates new views in 3D photo collections making direct use of its point cloud. The novel method creates new views in real-time and allows free-navigation.
In conclusion, the proposed novel methods show that 3D photo collections are a useful representation for real scenes in Augmented Reality and they can be used to perform a realistic image synthesis of real and virtual portions.
German politicians have identified a need for greater citizen involvement in decision-making than in the past, as confirmed by a recent German parliamentarians study ("DEUPAS"). As in other forms of social interactions, the Internet provides significant potential to serve as the digital interface between citizens and decision-makers: in the recent past, dedicated electronic participation ("e-participation") platforms (e.g. dedicated websites) have been provided by politicians and governments in an attempt to gather citizens" feedback and comment on a particular issue or subject. Some of these have been successful, but a large proportion of them are grossly under-used " often only small numbers of citizens use them. Over the same time period, enthusiasm of Society for social networks has increased and is now commonplace. Many citizens use social networks such as Facebook and Twitter for all kinds of purposes, and in some cases to discuss political issues.
Social networks are therefore obviously attractive to politicians " from local government to federal agencies, politicians have integrated social media into their daily work. However, there is a significant challenge regarding the usefulness of social networks. The problem is the continuous increase in digital information: social networks contain vast amounts of information, and it is impossible for a human to manually filter the relevant information from the irrelevant (so-called "information overload"). Even using the search tools provided by social networks, it is still a huge task for a human to determine meanings and themes from the multitude of search results. New technologies and concepts have been proposed to provide summaries of masses of information through lexical analysis of social media messages, and therefore they promise an easy and quick overview of the information.
This thesis examines the relevance of these analyses" results, for the use in everyday political life, with the emphasis on the social networks Facebook and Twitter as data sources. Here we make use of the WeGov Toolbox and its analysis components that were developed during the EU project WeGov. The assessment has been performed in consultation with actual policy-makers from different levels of German government: policy-makers from the German Federal Parliament, the State Parliament North Rhine-Westphalia, the State Chancellery of the Saarland and the cities of Cologne and Kempten all took part in the study. Our method was to execute the analyses on data collected from Facebook and Twitter, and present the results to the policy-makers, who would then evaluate them using a mixture of qualitative methods.
The responses of the participants have provided us with some useful conclusions:
1) None of the participants believe that e-participation is possible in this way. But participants confirm that "citizen-friendliness" can be supported by this approach.
2) The most likely users for the summarisation tools are those who have experience with social networks, but are not "power users". The reason being is that "power users" already knew the relevant information provided by analysis tools. But without any experiences for social networks it is hard to interpret the analysis results the right way.
3) The evaluation has considered geographical aspects, and related this to e.g. a politician- constituency as a local area of social networks. Comparing the rural to the urban areas, it is shown that the amount of relevant political information in the rural areas is low. While the proportion of publicly available information in urban areas is relatively high, the proportion in the rural areas is much lower.
The findings that result from the engagement with policy-makers will be systematically surveyed and validated within this thesis.
The amount of information on the Web is constantly increasing and also there is a wide variety of information available such as news, encyclopedia articles, statistics, survey data, stock information, events, bibliographies etc. The information is characterized by heterogeneity in aspects such as information type, modality, structure, granularity, quality and by its distributed nature. The two primary techniques by which users on the Web are looking for information are (1) using Web search engines and (2) browsing the links between information. The dominant mode of information presentation is mainly static in the form of text, images and graphics. Interactive visualizations offer a number of advantages for the presentation and exploration of heterogeneous information on the Web: (1) They provide different representations for different, very large and complex types of information and (2) large amounts of data can be explored interactively using their attributes and thus can support and expand the cognition process of the user. So far, interactive visualizations are still not an integral part in the search process of the Web. The technical standards and interaction paradigms to make interactive visualization usable by the mass are introduced only slowly through standardatization organizations. This work examines how interactive visualizations can be used for the linking and search process of heterogeneous information on the Web. Based on principles in the areas of information retrieval (IR), information visualization and information processing, a model is created, which extends the existing structural models of information visualization with two new processes: (1) linking of information in visualizations and (2) searching, browsing and filtering based on glyphs. The Vizgr toolkit implements the developed model in a web application. In four different application scenarios, aspects of the model will be instantiated and are evaluated in user tests or examined by examples.
The search for scientific literature in scientific information systems is a discipline at the intersection between information retrieval and digital libraries. Recent user studies show two typical weaknesses of the classical IR model: ranking of retrieved and maybe relevant documents and the language problem during the query formulation phase. At the same time traditional retrieval systems that rely primarily on textual document and query features are stagnating for years, as it could be observed in IR evaluation campaigns such as TREC or CLEF. Therefore alternative approaches to surpass these two problem fields are needed. Two different search support systems are presented in this work and evaluated with a lab evaluation using the IR test collection GIRT and iSearch with 150 and 65 topics, respectively. These two systems are (1) a query expansion that is based on the analysis of co-occurrences of document attributes and (2) a ranking mechanism that applies informetric analysis of the productivity of information producers in the information production process. Both systems were compared to a baseline system using the Solr search engine. Both methods showed positive effects when applying additional document attributes like author names, ISSN codes and controlled terms. The query expansion showed an improvement in precision (bpref +12%) and in recall (R +22%).
he alternative ranking methods were able to compete with the baseline for author names and ISSN codes and were able to beat the baseline by using controlled terms (MAP +14%). A clear negative influence was seen when using entities like publishers or locations. Both methods were able to generate a substantially different sorting of the result set, measured using Kendall. So, additional to the improved relevance in the result list, the user can get a new and different view on the document set. Query expansion using author names, ISSN codes and thesaurus terms showed great potential that lies within the rich metadata sets of digital library systems. The proposed ranking methods could outperform standard relevance ranking methods after they were filtered by the existence of a so-called power law. This showed that the proposed ranking methods cannot be used universally in any case but require specific frequency distributions in the metadata. A connection between the underlying informetric laws of Bradford, Lotka and Zipf is made clear. The evaluated methods were implemented as interactive search supporting systems that can be used in an interactive prototype and the social science digital library system Sowiport. Besides that, the methods are adaptable to other systems and environments using a free software framework and a web API.
Education and training of the workforce have become an important competitive factor for companies because of the rapid technological changes in the economy and the corresponding ever shorter innovation cycles. Traditional training methods, however, are limited in terms of meeting the resulting demand for education and training in a company, which continues to grow and become faster all the time. Therefore, the use of technology-based training programs (that is, courseware) is increasing because courseware enables self-organized and self-paced learning and, through integration into daily work routines, allows optimal transfer of knowledge and skills, resulting in high learning outcome. To achieve these prospects, high-quality courseware is required, with quality being defined as supporting learners optimally in achieving their learning goals. Developing high-quality courseware, however, usually requires more effort and takes longer than developing other programs, which limits the availability of this courseware in time and with the required quality.
This dissertation therefore deals with the research question of how courseware has to be developed in order to produce high-quality courseware with less development effort and shorter project duration. In addition to its high quality, this courseware should be optimally aligned to the characteristics and learning goals of the learners as well as to the planned usage scenarios for the knowledge and skills being trained. The IntView Method for the systematic and efficient development of high-quality courseware was defined to answer the research question of this dissertation. It aims at increasing the probability of producing courseware in time without exceeding project schedules and budgets while developing a high-quality product optimally focused on the target groups and usage scenarios.
The IntView Methods integrates those execution variants of all activities and activity steps required to develop high-quality courseware, which were identified in a detailed analysis of existing courseware development approaches as well as production approaches from related fields, such as multimedia, web, or software engineering, into a systematic process that in their interaction constitute the most efficient way to develop courseware. The main part of the proposed method is therefore a systematic process for engineering courseware that encompasses all courseware lifecycle phases and integrates the activities and methods of all disciplines involved in courseware engineering, including a lifecycle encompassing quality assurance, into a consolidated process. This process is defined as a lifecycle model as well as a derived process model in the form of a dependency model in order to optimally support courseware project teams in coordinating and synchronizing their project work. In addition to the models, comprehensive, ready-to-apply enactment support materials are provided, consisting of work sheets and document templates that include detailed activity descriptions and examples.
The evaluation of the IntView Method proved that the method together with the enactment support materials enables efficient as well as effective courseware development. The projects and case studies conducted in the context of this evaluation demonstrate that, on the one hand, the method is easily adaptable to the production of different kinds of courseware or to different project contexts, and, on the other hand, that it can be used efficiently and effectively.