In multifarious offices, where social interaction is necessary in order to share and locate essential information, awareness becomes a concurrent process that amplifies the exigency of easy routes for personnel to be able to access this information, deferred or decentralized, in a formalized and context-sensitive way. Although the subject of awareness has immensely grown in importance, there is extensive disagreement about how this transparency can be conceptually and technically implemented. This paper introduces an awareness model in order to visualize and navigate such information in multi-tiers using semantic networks, and Web3D. To support this concept we introduce two different algorithms. The first algorithm is able to guide individuals to relevant information and topics. The second one is able to infer hidden groups (clusters) in a large company network, representing various communication channels between individuals. Both algorithms produce very promising results.
Classifying phenomena is a key step to building new knowledge, especially in the early stages of a research process. It can bring about multiple advantages and insights, such as overview and comparison. Yet it also poses several risks and constraints. Thankfully, challenges can be over-come by re-classifying items in a domain with alternative classification principles, which lead to new insights or perspectives, as well as highlight previously neglected considerations. This process can be supported by graphic representations. Visualizing the drawn (and redrawn) distinctions can make a classification accessible and versatile, which makes it easier to compare with other classifications. Visualizing classifications can augment the entire research process, including hypothesis formation, testing, interpretation and result reporting. There is no systematic overview of methods to represent (especially qualitative) classifications graphically. This paper fills that gap in the literature. We distinguish between four types of visual classifications, based on their differing ability to emphasize hierarchies or group relations. We label these four types as compilations, configurations, layers, and trees. We analyze their benefits for the research process and point out potential risks to consider when using visualization for classifications purposes in social science research.
There are plenty of projects aimed at incorporating semantic information into present day document processing. The main problem is their real-world usability. E-learning is one of the areas which can take advantage of the semantically described documents. In this paper we would like to introduce a framework of cooperating tools which can help extract, store, visualize semantics in this area.
Wikis have their seeds in the easy collaborative editing and maintenance of web pages. This was picked up by tremendously successful public projects such as the online encyclopedia Wikipedia. Creating, modifying and maintaining of wiki articles implies social structures and dependencies between wiki authors and wiki articles themselves. The general challenge of this work is to consider these structures as dynamic evolving networks and to point out prominent behaviors in large wiki-based networks. We present an environment capable of handling data management, measurement and visualization issues for the dynamic network analysis of publicly available wiki data.
In this paper we describe novel ideas and their prototypical implementation for the visualization of rule bases. In the creation of the visualization our approach considers not only the structure of a rule base but also records of its usage. We also discuss methods to address the challenges for visualization tools posed by rule bases that are large, created with high level knowledge acquisition tools or that contain low level rules that should remain hidden from the users.
Diagrams are often conceived as static representations. In this paper, by contrast, we explore how conceptual graphic representations can be used as communicative devices for knowledge-intense activities in groups. We do so by reviewing and extending existing cognitive and communicative dimensions and criteria. The aim of our research is to formalize the description of diagrams used in management discussions, analyzing their communicative and collaborative functions in order to better use them in knowledge creation and sharing in teams. We start with reviewing and merging the literature on cognitive and communicative dimensions and the literature on boundary objects, as well as information visualization, in order to compile the most relevant dimensions for knowledge creation and sharing in team. Thus, we cluster those dimensions obtaining eight macro-dimensions. We propose a formal analysis of diagrams which can be used as a tool for selecting and modifying appropriate visualizations fordifferent knowledge-intensive activities in teams. An application example illustrates this approach.
Formats and Technologies in the Digital Mathematics Library Project
The main obstacle to easy accessing the vast amount of knowledge is the fact that they are not available in well-designed, standard, fully indexed electronic form, together with detailed metadata and full-text search capabilities. This paper is a case study of design issues in a subproject of WDML (World Digital Mathematics Library) aimed at digitizing valuable mathematical journals and books published in the Czech and Slovak Republics, to make them publicly available in digital form. We discuss here the design of the work-flow aiming at having mathematical knowledge stored in digital library. The key concept is a gradual enhancement of the digital material by ‘knowledge enhancing’ filters applied to the markup-rich XML data.
The efficient, collaborative creation and transfer of knowledge is still a major challenge in many organizations, particularly among different professional groups, such as experts and managers. This paper presents a visual knowledge communication suite that aims at improving the quality of collaborative knowledge communication in face-to-face meetings and in on-line workshops, primarily for synchronous interactions, but also for asynchronous
communication. The paper presents the framework for the developed software and screenshot of its five modules (called ruler, positioner, ideaquarium, tracker and timeliner).
This paper presents further research findings on the use of software-based, collaborative visual communication tools for the transfer and creation of professional knowledge in organizational decision making contexts. The paper begins by describing typical knowledge communication situations and summarizes dominating problems in these contexts. It then reports on the real-life experiences in using three visual knowledge communication tools, namely the OnTrack visual protocol tool, the Parameter Ruler application, and the Synergy Map. The application experiences with these tools in four companies show that they can reduce some of the discussed problems. Their main benefits are focus, coordination, documentation, consistency, accountability and traceability. Their major improvement areas are accessibility and flexibility. Implications for further research and for further tool developments are highlighted.
Within a business environment, where the fast and reliable access to knowledge is a key success factor, an efficient handling of the organizational knowledge is crucial. Therefore the need for methods and techniques, which allow to structure and maintain complex knowledge bases according to the requirements emerging from the daily work have a high priority. This article provides a business process oriented approach to structure organizational knowledge and information bases. The approach was developed within applied research in the industrial, service and administrative sector. Following this approach, three different types of knowledge structures and their visualization have been developed by the Fraunhofer IPK and are currently applied and tested in organizations. Beside the approach itself, these three types of knowledge structure and the cases of application shall be introduced here.
The widespread use of cellular devices has resulted in an increased demand for proper and continuous functioning of cellular services. For this reason, cellular service providers require better and more sophisticated tools to analyze customer usage data. They are constantly seeking new approaches for fine tuning and optimizing the performance of their networks. In this paper, we describe the design and implementation of a new space-filling visualization technique that is capable of displaying multi-dimensional attributes of a cellular network data. We illustrate the value of the technique through an example.
The Use of Visual Metaphors in the Communication of Knowledge
The use of visual metaphors for the transfer of knowledge is a fruitful, but rarely applied communication strategy of experts who strive to convey their insights to others. Although there is a plethora of literature on the benefits of images and metaphors for effective communication, there are only few widely used metaphor templates. In this paper, several possible templates (on four levels) for visual knowledge communication are distinguished and real-life examples of their use are presented. Their advantages and potential risks are addressed. The paper ends with a discussion of future research directions for metaphor-based knowledge
visualization.