Search (33 results, page 1 of 2)

  • × theme_ss:"Visualisierung"
  1. Ohly, H.P.: Erstellung und Interpretation von semantischen Karten am Beispiel des Themas 'Soziologische Beratung' (2004) 0.02
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    Abstract
    Bei der Analyse von Informationsströmen und -systemen mit statistischen Methoden werden die Ergebnisse gerne in Grafiken dargestellt, da diese intuitiv schneller zu erfassen sind und auch Laien ohne tiefere statistische Vorbildung eine Anschauung bekommen können. Klassisches Beispiel ist etwa die graphische Darstellung der Verluste des napoleonischen Heeres in Russland (Abb. 1). Unbeachtet bleibt dabei oft, dass trotz Einfachheit der Darstellung meist große Mengen von Daten herangezogen werden und diese dann lediglich nach wenigen Gesichtspunkten in eine Grafik projiziert werdens, was leicht auch zu Fehleinschätzungen führen kann. Es sind darum geeignete Verfahren auszuwählen, die eine adäquate und möglichst 'objektive' Interpretation ermöglichen.
  2. Christoforidis, A.; Heuwing, B.; Mandl, T.: Visualising topics in document collections : an analysis of the interpretation process of historians (2017) 0.02
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  3. Xiaoyue M.; Cahier, J.-P.: Iconic categorization with knowledge-based "icon systems" can improve collaborative KM (2011) 0.01
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    Abstract
    Icon system could represent an efficient solution for collective iconic categorization of knowledge by providing graphical interpretation. Their pictorial characters assist visualizing the structure of text to become more understandable beyond vocabulary obstacle. In this paper we are proposing a Knowledge Engineering (KM) based iconic representation approach. We assume that these systematic icons improve collective knowledge management. Meanwhile, text (constructed under our knowledge management model - Hypertopic) helps to reduce the diversity of graphical understanding belonging to different users. This "position paper" also prepares to demonstrate our hypothesis by an "iconic social tagging" experiment which is to be accomplished in 2011 with UTT students. We describe the "socio semantic web" information portal involved in this project, and a part of the icons already designed for this experiment in Sustainability field. We have reviewed existing theoretical works on icons from various origins, which can be used to lay the foundation of robust "icons systems".
  4. Choi, I.: Visualizations of cross-cultural bibliographic classification : comparative studies of the Korean Decimal Classification and the Dewey Decimal Classification (2017) 0.01
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    Abstract
    The changes in KO systems induced by sociocultural influences may include those in both classificatory principles and cultural features. The proposed study will examine the Korean Decimal Classification (KDC)'s adaptation of the Dewey Decimal Classification (DDC) by comparing the two systems. This case manifests the sociocultural influences on KOSs in a cross-cultural context. Therefore, the study aims at an in-depth investigation of sociocultural influences by situating a KOS in a cross-cultural environment and examining the dynamics between two classification systems designed to organize information resources in two distinct sociocultural contexts. As a preceding stage of the comparison, the analysis was conducted on the changes that result from the meeting of different sociocultural feature in a descriptive method. The analysis aims to identify variations between the two schemes in comparison of the knowledge structures of the two classifications, in terms of the quantity of class numbers that represent concepts and their relationships in each of the individual main classes. The most effective analytic strategy to show the patterns of the comparison was visualizations of similarities and differences between the two systems. Increasing or decreasing tendencies in the class through various editions were analyzed. Comparing the compositions of the main classes and distributions of concepts in the KDC and DDC discloses the differences in their knowledge structures empirically. This phase of quantitative analysis and visualizing techniques generates empirical evidence leading to interpretation.
  5. Jetter, H.-C.: Informationsvisualisierung und Visual Analytics (2023) 0.01
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    Abstract
    Die Visualisierung digitaler Datenbestände mit dem Computer ist heute alltäglich geworden. Spätestens seit der COVID-19-Pandemie sind computergenerierte Datenvisualisierungen und deren Interpretation durch den Menschen nicht mehr nur Expert*innen für Statistik und Datenanalyse vorbehalten. Stattdessen sind interaktive Visualisierungen zur Darstellung von Trends, Mustern oder Vergleichen in Daten zu festen Bestandteilen unseres medialen Alltags geworden, ob im (Daten-)Journalismus, in den sozialen Medien oder bei der Kommunikation von Behörden mit der Bevölkerung. Wie bereits von Reiterer und Jetter (2013) in einer früheren Auflage dieses Beitrags thematisiert wurde, bietet dieser Trend zur interaktiven und narrativen Visualisierung in den Massenmedien den Benutzer*innen neue Möglichkeiten des datenbasierten Erkenntnisgewinns. Seitdem popularisiert zusätzlich die Vielzahl verfügbarer "Tracker"-Apps mit dem Ziel der Verhaltensoptimierung (z. B. im Bereich Fitness oder Energiekonsum) die interaktive Visualisierung und Analyse persönlicher und privater Daten. Auch im beruflichen Alltag haben sich einstige Nischenwerkzeuge, wie z. B. die Visualisierungssoftware Tableau, in äußerst populäre Anwendungen verwandelt und sind zum Gegenstand zweistelliger Milliardeninvestitionen geworden, insbesondere für die Visualisierung und Analyse von Geschäftsdaten. Im Lichte dieser Entwicklungen soll dieser Beitrag daher im Folgenden einerseits grundlegende Begriffe und Konzepte der Informationsvisualisierung vermitteln, andererseits auch Alltagsformen und Zukunftstrends wie Visual Analytics thematisieren.
  6. Petrovich, E.: Science mapping and science maps (2021) 0.01
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    Abstract
    Science maps are visual representations of the structure and dynamics of scholarly knowl­edge. They aim to show how fields, disciplines, journals, scientists, publications, and scientific terms relate to each other. Science mapping is the body of methods and techniques that have been developed for generating science maps. This entry is an introduction to science maps and science mapping. It focuses on the conceptual, theoretical, and methodological issues of science mapping, rather than on the mathematical formulation of science mapping techniques. After a brief history of science mapping, we describe the general procedure for building a science map, presenting the data sources and the methods to select, clean, and pre-process the data. Next, we examine in detail how the most common types of science maps, namely the citation-based and the term-based, are generated. Both are based on networks: the former on the network of publications connected by citations, the latter on the network of terms co-occurring in publications. We review the rationale behind these mapping approaches, as well as the techniques and methods to build the maps (from the extraction of the network to the visualization and enrichment of the map). We also present less-common types of science maps, including co-authorship networks, interlocking editorship networks, maps based on patents' data, and geographic maps of science. Moreover, we consider how time can be represented in science maps to investigate the dynamics of science. We also discuss some epistemological and sociological topics that can help in the interpretation, contextualization, and assessment of science maps. Then, we present some possible applications of science maps in science policy. In the conclusion, we point out why science mapping may be interesting for all the branches of meta-science, from knowl­edge organization to epistemology.
  7. Aufreiter, M.: Informationsvisualisierung und Navigation im Semantic Web (2008) 0.01
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    Abstract
    Der Anreiz und das Potential von Informationsvisualisierungen wird bereits häufig erkannt und der Wunsch nach deren Anwendung immer stärker. Gerade im Bereich des Wissensmanagements spielt dieses Gebiet eine immer wichtigere Rolle. Diese Arbeit beschäftigt sich mit Informationsvisualisierung im Semantic Web und vermittelt einen Überblick über aktuelle Entwicklungen zum Thema Knowledge Visualization. Zun¨achst werden grundlegende Konzepte der Informationsvisualisierung vorgestellt und deren Bedeutung in Hinblick auf das Wissensmanagement erklärt. Aus den Anforderungen, die das Semantic Web an die Informationsvisualisierungen stellt, lassen sich Kriterien ableiten, die zur Beurteilung von Visualisierungstechniken herangezogen werden können. Die ausgewählten Kriterien werden im Rahmen dieser Arbeit zu einem Kriterienkatalog zusammengefasst. Schließlich werden ausgewählte Werkzeuge beschrieben, die im Wissensmanagement bereits erfolgreich Anwendung finden. Die einzelnen Untersuchungsobjekte werden nach einer detailierten Beschreibung anhand der ausgewählten Kriterien analysiert und bewertet. Dabei wird besonders auf deren Anwendung im Kontext des Semantic Web eingegangen.
  8. Zhu, B.; Chen, H.: Information visualization (2004) 0.01
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    Abstract
    Advanced technology has resulted in the generation of about one million terabytes of information every year. Ninety-reine percent of this is available in digital format (Keim, 2001). More information will be generated in the next three years than was created during all of previous human history (Keim, 2001). Collecting information is no longer a problem, but extracting value from information collections has become progressively more difficult. Various search engines have been developed to make it easier to locate information of interest, but these work well only for a person who has a specific goal and who understands what and how information is stored. This usually is not the Gase. Visualization was commonly thought of in terms of representing human mental processes (MacEachren, 1991; Miller, 1984). The concept is now associated with the amplification of these mental processes (Card, Mackinlay, & Shneiderman, 1999). Human eyes can process visual cues rapidly, whereas advanced information analysis techniques transform the computer into a powerful means of managing digitized information. Visualization offers a link between these two potent systems, the human eye and the computer (Gershon, Eick, & Card, 1998), helping to identify patterns and to extract insights from large amounts of information. The identification of patterns is important because it may lead to a scientific discovery, an interpretation of clues to solve a crime, the prediction of catastrophic weather, a successful financial investment, or a better understanding of human behavior in a computermediated environment. Visualization technology shows considerable promise for increasing the value of large-scale collections of information, as evidenced by several commercial applications of TreeMap (e.g., http://www.smartmoney.com) and Hyperbolic tree (e.g., http://www.inxight.com) to visualize large-scale hierarchical structures. Although the proliferation of visualization technologies dates from the 1990s where sophisticated hardware and software made increasingly faster generation of graphical objects possible, the role of visual aids in facilitating the construction of mental images has a long history. Visualization has been used to communicate ideas, to monitor trends implicit in data, and to explore large volumes of data for hypothesis generation. Imagine traveling to a strange place without a map, having to memorize physical and chemical properties of an element without Mendeleyev's periodic table, trying to understand the stock market without statistical diagrams, or browsing a collection of documents without interactive visual aids. A collection of information can lose its value simply because of the effort required for exhaustive exploration. Such frustrations can be overcome by visualization.
  9. Pfeffer, M.; Eckert, K.; Stuckenschmidt, H.: Visual analysis of classification systems and library collections (2008) 0.01
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  10. Eckert, K: ¬The ICE-map visualization (2011) 0.01
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  11. Eckert, K.; Pfeffer, M.; Stuckenschmidt, H.: Assessing thesaurus-based annotations for semantic search applications (2008) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  12. Sieber, W.: Visualisierung von Thesaurus-Strukturen unter besonderer Berücksichtigung eines Hyperbolic Tree Views (2004) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  13. Sieber, W.: Thesaurus-Arbeit versus Informationsvisualisierung : Analyse und Evaluation am Maßstab der Usability (2007) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  14. Brockelmann, M.; Wolff, C.: 3D-Visualisierungen : Potenziale in Forschung und Lehre im Kontext von Informationswissenschaft und Medieninformatik (2013) 0.00
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    Abstract
    Dieser Artikel beschäftigt sich mit den Möglichkeiten der Informationsaufbereitung durch computergenerierte dreidimensionale Elemente. Visualisierungen durch 3DGrafiken und Animationen können im Vergleich zum Informationsgehalt andersartiger Darstellungen einen kommunikativen Mehrwert aufweisen, der den höheren Aufwand der Erzeugung rechtfertigt. Es wird die Frage aufgeworfen, in welchen Forschungsgebieten der Informationswissenschaft und Medieninformatik der Einsatz von räumlichen Repräsentationen angebracht ist und inwieweit sich die Fokussierung auf eine Informationsübermittlung durch eine virtuelle 3D-Umgebung mit den gesteigerten Anforderungen an das Kommunikationssystem in Einklang bringen lässt. Durch die menschliche Ausrichtung auf möglichst natürliche und realistische Erscheinungen bei der Informationsaufnahme ist die Verwendung der dritten Dimension im Kommunikationsprozess ausgenommen hilfreich, es bedarf zuvor allerdings einer Konzeption geeigneter Einsatzprinzipien, die der großflächigen Anwendung im Bedarfsfall gerecht werden.
  15. Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.00
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    Date
    30. 5.2010 16:22:35
  16. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.00
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    Date
    1. 2.2016 18:25:22
  17. Eckert, K.: Thesaurus analysis and visualization in semantic search applications (2007) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  18. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.00
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
  19. Hemmje, M.: Unterstützung von Information-Retrieval-Dialogen mit Informationssystemen durch interaktive Informationsvisualisierung (1999) 0.00
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    Content
    Gegenstand dieser Arbeit ist die Anforderungsanalyse, die Modellierung, der Entwurf und die exemplarische Realisierung, Integration und Bewertung eines Interaktiven Informationsvisualisierungsmodells zur Unterstützung von Informationsdialogen mit Information-Retrieval-Systemen, von darauf aufbauenden interaktiven Informationsvisualisierungsbeispielen, den dazu korrespondierenden Softwarekomponenten sowie deren integriertem Einsatz und Bewertung in einer exemplarischen Anwendungslösung für die Unterstützung interaktiver visuelldirekt manipulative Informationsdialoge mit einem Informations-Retrieval-System. Die Arbeit enthält den Entwurf und die Implementierung der prototypischen Anwendung LyberWorld zur computergraphischen Visualisierung von inhaltsorientierten Informationsdialogen zwischen naiven Benutzern und Datenbanksystemen mit Information-Retrieval-Funktionen. Im Vordergrund steht dabei das Ziel, naiven Benutzern innerhalb eines visuell direkt manipulativen Informationsdialoges eine Unterstützung bei der Benutzung von Information-Retrieval- und Data-Mining-Funktionen auf der Basis von interaktiven Informationsvisualisierungskomponenten zur Verfügung zu stellen. Bezüglich der kognitiven Effizienz der Benutzung solcher Informationsvisualisierungskomponenten durch einen naiven Benutzer, ist es die Grundannahme der Arbeit, daß bei unveränderter Informations-Retrieval-Basisfunktionalität mit Hilfe einer geeigneten graphischen Benutzungsschnittstelle durch Ausnutzung der menschlichen Fähigkeit zur visuellen Wahrnehmung und direktmanipulativen Interaktion ein natürlicherer und kognitiv effizienterer Informationsdialog erzielt wird, als dies mit herkömmlichen z.B. Formblatt oder formalsprachlich orientierten Interaktionsparadigmen der Fall ist. Aus diesem Grund werden in der Arbeit visuell direkt manipulative Informationsvisualisierungs- und Darstellungsmethoden sowie visuell direkt manipulative Metaphern für elementare Funktionen des Informationsdialoges hergeleitet, implementiert und miteinander integriert.
  20. Trunk, D.: Semantische Netze in Informationssystemen : Verbesserung der Suche durch Interaktion und Visualisierung (2005) 0.00
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    Date
    30. 1.2007 18:22:41

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