Search (61 results, page 1 of 4)

  • × theme_ss:"Visualisierung"
  • × year_i:[2010 TO 2020}
  1. Zhu, Y.; Yan, E.; Song, I.-Y..: ¬The use of a graph-based system to improve bibliographic information retrieval : system design, implementation, and evaluation (2017) 0.02 
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    Abstract
    In this article, we propose a graph-based interactive bibliographic information retrieval system-GIBIR. GIBIR provides an effective way to retrieve bibliographic information. The system represents bibliographic information as networks and provides a form-based query interface. Users can develop their queries interactively by referencing the system-generated graph queries. Complex queries such as "papers on information retrieval, which were cited by John's papers that had been presented in SIGIR" can be effectively answered by the system. We evaluate the proposed system by developing another relational database-based bibliographic information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database-based system, and on average, our system reduced the execution time by 72% (for 3-node query), 89% (for 4-node query), and 99% (for 5-node query).
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.2, S.480-490
  2. Ahn, J.-w.; Brusilovsky, P.: Adaptive visualization for exploratory information retrieval (2013) 0.01 
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    Abstract
    As the volume and breadth of online information is rapidly increasing, ad hoc search systems become less and less efficient to answer information needs of modern users. To support the growing complexity of search tasks, researchers in the field of information developed and explored a range of approaches that extend the traditional ad hoc retrieval paradigm. Among these approaches, personalized search systems and exploratory search systems attracted many followers. Personalized search explored the power of artificial intelligence techniques to provide tailored search results according to different user interests, contexts, and tasks. In contrast, exploratory search capitalized on the power of human intelligence by providing users with more powerful interfaces to support the search process. As these approaches are not contradictory, we believe that they can re-enforce each other. We argue that the effectiveness of personalized search systems may be increased by allowing users to interact with the system and learn/investigate the problem in order to reach the final goal. We also suggest that an interactive visualization approach could offer a good ground to combine the strong sides of personalized and exploratory search approaches. This paper proposes a specific way to integrate interactive visualization and personalized search and introduces an adaptive visualization based search system Adaptive VIBE that implements it. We tested the effectiveness of Adaptive VIBE and investigated its strengths and weaknesses by conducting a full-scale user study. The results show that Adaptive VIBE can improve the precision and the productivity of the personalized search system while helping users to discover more diverse sets of information.
    Footnote
    Beitrag im Rahmen einer Special section on Human-computer Information Retrieval.
    Source
    Information processing and management. 49(2013) no.5, S.1139-1164
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Wilson, M.: Interfaces for information retrieval (2011) 0.01 
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    Source
    Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly
  4. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.01 
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    Abstract
    Generally, Computer Science (CS) classifications are inconsistent in taxonomy strategies. t is necessary to develop CS taxonomy research to combine its historical perspective, its current knowledge and its predicted future trends - including all breakthroughs in information and communication technology. In this paper we have analyzed the ACM Computing Classification System (CCS) by means of visualization maps. The important achievement of current work is an effective visualization of classified documents from the ACM Digital Library. From the technical point of view, the innovation lies in the parallel use of analysis units: (sub)classes and keywords as well as a spherical 3D information surface. We have compared both the thematic and semantic maps of classified documents and results presented in Table 1. Furthermore, the proposed new method is used for content-related evaluation of the original scheme. Summing up: we improved an original ACM classification in the Computer Science domain by means of visualization.
    Date
    22. 7.2010 19:36:46
  5. Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (2014) 0.01 
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    Abstract
    Acquiring knowledge in any field involves information retrieval, i.e. searching the available documents to identify answers to the queries concerning the selected objects. Knowing the keywords which are names of the objects will enable situating the user's query in the information space organized as a thesaurus or faceted classification. Objectives: Identification the areas in the information space which correspond to gaps in the user's personal knowledge or in the domain knowledge might become useful in theory or practice. The aim of this paper is to present a realistic information-space model of a self-authored full-text document on information culture, indexed by the author of this article. Methodology: Having established the relations between the terms, particular modules (sets of terms connected by relations used in facet classification) are situated on a plain, similarly to a communication map. Conclusions drawn from the "journey" on the map, which is a visualization of the knowledge contained in the analysed document, are the crucial part of this paper. Results: The direct result of the research is the created model of information space visualization of a given document (book, article, website). The proposed procedure can practically be used as a new form of representation in order to map the contents of academic books and articles, beside the traditional index form, especially as an e-book auxiliary tool. In teaching, visualization of the information space of a document can be used to help students understand the issues of: classification, categorization and representation of new knowledge emerging in human mind.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  6. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.01 
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    Abstract
    Purpose - The purpose of this paper is to investigate user experiences with a touch-wall interface featuring both clustering and categorization representations of available e-books in a public library to understand human information interactions under work-focused and recreational contexts. Design/methodology/approach - Researchers collected questionnaires from 251 New Taipei City Library visitors who used the touch-wall interface to search for new titles. The authors applied structural equation modelling to examine relationships among hedonic/utilitarian needs, clustering and categorization representations, perceived ease of use (EU) and the extent to which users experienced anxiety and uncertainty (AU) while interacting with the interface. Findings - Utilitarian users who have an explicit idea of what they intend to find tend to prefer the categorization interface. A hedonic-oriented user tends to prefer clustering interfaces. Users reported EU regardless of which interface they engaged with. Results revealed that use of the clustering interface had a negative correlation with AU. Users that seek to satisfy utilitarian needs tended to emphasize the importance of perceived EU, whilst pleasure-seeking users were a little more tolerant of anxiety or uncertainty. Originality/value - The Online Public Access Catalogue (OPAC) encourages library visitors to borrow digital books through the implementation of an information visualization system. This situation poses an opportunity to validate uses and gratification theory. People with hedonic/utilitarian needs displayed different risk-control attitudes and affected uncertainty using the interface. Knowledge about user interaction with such interfaces is vital when launching the development of a new OPAC.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 68(2016) no.3, S.265-285
  7. Salaba, A.; Mercun, T.; Aalberg, T.: Complexity of work families and entity-based visualization displays (2018) 0.01 
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    Abstract
    Conceptual modeling of bibliographic data, including the FR models and the consolidated IFLA LRM, has provided an opportunity to shift focus to entities and relationships and to support hierarchical work-based exploration of bibliographic information. This paper reports on a study examining the complexity of a work's bibliographic family data and user interactions with data visualizations, compared to traditional displays. Findings suggest that the FRBR-based visual bibliographic information system supports work families of different complexities more equally than a traditional system. Differences between the two systems also show that the FRBR-based system was more effective especially for related-works and author-related tasks.
  8. Huang, S.-C.; Bias, R.G.; Schnyer, D.: How are icons processed by the brain? : Neuroimaging measures of four types of visual stimuli used in information systems (2015) 0.01 
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    Abstract
    We sought to understand how users interpret meanings of symbols commonly used in information systems, especially how icons are processed by the brain. We investigated Chinese and English speakers' processing of 4 types of visual stimuli: icons, pictures, Chinese characters, and English words. The goal was to examine, via functional magnetic resonance imaging (fMRI) data, the hypothesis that people cognitively process icons as logographic words and to provide neurological evidence related to human-computer interaction (HCI), which has been rare in traditional information system studies. According to the neuroimaging data of 19 participants, we conclude that icons are not cognitively processed as logographical words like Chinese characters, although they both stimulate the semantic system in the brain that is needed for language processing. Instead, more similar to images and pictures, icons are not as efficient as words in conveying meanings, and brains (people) make more effort to process icons than words. We use this study to demonstrate that it is practicable to test information system constructs such as elements of graphical user interfaces (GUIs) with neuroscience data and that, with such data, we can better understand individual or group differences related to system usage and user-computer interactions.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.4, S.702-720
  9. Mercun, T.; Zumer, M.; Aalberg, T.: Presenting bibliographic families using information visualization : evaluation of FRBR-based prototype and hierarchical visualizations (2017) 0.01 
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    Abstract
    Since their beginnings, bibliographic information systems have been displaying results in the form of long, textual lists. With the development of new data models and computer technologies, the need for new approaches to present and interact with bibliographic data has slowly been maturing. To investigate how this could be accomplished, a prototype system, FrbrVis1, was designed to present work families within a bibliographic information system using information visualization. This paper reports on two user studies, a controlled and an observational experiment, that have been carried out to assess the Functional Requirements for Bibliographic Records (FRBR)-based against an existing system as well as to test four different hierarchical visual layouts. The results clearly show that FrbrVis offers better performance and user experience compared to the baseline system. The differences between the four hierarchical visualizations (Indented tree, Radial tree, Circlepack, and Sunburst) were, on the other hand, not as pronounced, but the Indented tree and Sunburst design proved to be the most successful, both in performance as well as user perception. The paper therefore not only evaluates the application of a visual presentation of bibliographic work families, but also provides valuable results regarding the performance and user acceptance of individual hierarchical visualization techniques.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.2, S.392-411
  10. Jäger-Dengler-Harles, I.: Informationsvisualisierung und Retrieval im Fokus der Infromationspraxis (2013) 0.01 
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    Abstract
    Methoden und Techniken der Informationsvisualisierung werden seit ungefähr zwanzig Jahren im Bereich der Informationssuche eingesetzt. In dieser Literaturstudie werden ausgewählte Visualisierungsanwendungen der letzten Jahre vorgestellt. Sie betreffen zum einen den Retrievalprozess, das Boolesche Retrieval, die facettierte Suche, Dokumentbeziehungen, die Zufallssuche und Ergebnisanzeige, zum anderen spezielle Anwendungen wie die kartenbasierte und adaptive Visualisierung, Zitationsnetzwerke und Wissensordnungen. Die Einsatzszenarien für Applikationen der Informationsvisualisierung sind vielfältig. Sie reichen von mobilen kleinformatigen Anwendungen bis zu großformatigen Darstellungen auf hochauflösenden Bildschirmen, von integrativen Arbeitsplätzen für den einzelnen Nutzer bis zur Nutzung interaktiver Oberflächen für das kollaborative Retrieval. Das Konzept der Blended Library wird vorgestellt. Die Übertragbarkeit von Visualisierungsanwendungen auf Bibliothekskataloge wird im Hinblick auf die Nutzung des Kataloginputs und des Angebots an Sucheinstiegen geprüft. Perspektivische Überlegungen zu zukünftigen Entwicklungsschritten von Bibliothekskatalogen sowie zum Einfluss von Visualisierungsanwendungen auf die Informationspraxis werden angestellt.
    Date
    4. 2.2015 9:22:39
  11. Olawuyi, N.J.; Akhigbe, B.I.; Afolabi, B.S.: Knowledge organization system interoperability : the cogitation of user interfaces for better interactivity (2018) 0.00 
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  12. Wu, I.-C.; Vakkari, P.: Supporting navigation in Wikipedia by information visualization : extended evaluation measures (2014) 0.00 
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    Abstract
    Purpose - The authors introduce two semantics-based navigation applications that facilitate information-seeking activities in internal link-based web sites in Wikipedia. These applications aim to help users find concepts within a topic and related articles on a given topic quickly and then gain topical knowledge from internal link-based encyclopedia web sites. The paper aims to discuss these issues. Design/methodology/approach - The WNavis application consists of three information visualization (IV) tools which are a topic network, a hierarchy topic tree and summaries for topics. The WikiMap application consists of a topic network. The goal of the topic network and topic tree tools is to help users to find the major concepts of a topic and identify relationships between these major concepts easily. In addition, in order to locate specific information and enable users to explore and read topic-related articles quickly, the topic tree and summaries for topics tools support users to gain topical knowledge quickly. The authors then apply the k-clique of cohesive indicator to analyze the sub topics of the seed query and find out the best clustering results via the cosine measure. The authors utilize four metrics, which are correctness, time cost, usage behaviors, and satisfaction, to evaluate the three interfaces. These metrics measure both the outputs and outcomes of applications. As a baseline system for evaluation the authors used a traditional Wikipedia interface. For the evaluation, the authors used an experimental user study with 30 participants.
    Findings - The results indicate that both WikiMap and WNavis supported users to identify concepts and their relations better compared to the baseline. In topical tasks WNavis over performed both WikiMap and the baseline system. Although there were no time differences in finding concepts or answering topical questions, the test systems provided users with a greater gain per time unit. The users of WNavis leaned on the hierarchy tree instead of other tools, whereas WikiMap users used the topic map. Research limitations/implications - The findings have implications for the design of IR support tools in knowledge-intensive web sites that help users to explore topics and concepts. Originality/value - The authors explored to what extent the use of each IV support tool contributed to successful exploration of topics in search tasks. The authors propose extended task-based evaluation measures to understand how each application provides useful context for users to accomplish the tasks and attain the search goals. That is, the authors not only evaluate the output of the search results, e.g. the number of relevant items retrieved, but also the outcome provided by the system for assisting users to attain the search goal.
  13. Osiñska, V.: Visual analysis of classification scheme (2010) 0.00 
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    Abstract
    This paper proposes a novel methodology to visualize a classification scheme. It is demonstrated with the Association for Computing Machinery (ACM) Computing Classification System (CCS). The collection derived from the ACM digital library, containing 37,543 documents classified by CCS. The assigned classes, subject descriptors, and keywords were processed in a dataset to produce a graphical representation of the documents. The general conception is based on the similarity of co-classes (themes) proportional to the number of common publications. The final number of all possible classes and subclasses in the collection was 353 and therefore the similarity matrix of co-classes had the same dimension. A spherical surface was chosen as the target information space. Classes and documents' node locations on the sphere were obtained by means of Multidimensional Scaling coordinates. By representing the surface on a plane like a map projection, it is possible to analyze the visualization layout. The graphical patterns were organized in some colour clusters. For evaluation of given visualization maps, graphics filtering was applied. This proposed method can be very useful in interdisciplinary research fields. It allows for a great amount of heterogeneous information to be conveyed in a compact display, including topics, relationships among topics, frequency of occurrence, importance and changes of these properties over time.
    Object
    Computing Classification System
  14. Nehmadi, L.; Meyer, J.; Parmet, Y.; Ben-Asher, N.: Predicting a screen area's perceived importance from spatial and physical attributes (2011) 0.00 
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    Abstract
    The editor's decision where and how to place items on a screen is crucial for the design of information displays, such as websites. We developed a statistical model that can facilitate automating this process by predicting the perceived importance of screen items from their location and size. The model was developed based on a 2-step experiment in which we asked participants to rate the importance of text articles that differed in size, screen location, and title size. Articles were either presented for 0.5 seconds or for unlimited time. In a stepwise regression analysis, the model's variables accounted for 65% of the variance in the importance ratings. In a validation study, the model predicted 85% of the variance of the mean apparent importance of screen items. The model also predicted individual raters' importance perception ratings. We discuss the implications of such a model in the context of automating layout generation. An automated system for layout generation can optimize data presentation to suit users' individual information and display preferences.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.9, S.1829-1838
  15. Hiniker, A.; Hong, S.R.; Kim, Y.-S.; Chen, N.-C.; West, J.D.; Aragon, C.: Toward the operationalization of visual metaphor (2017) 0.00 
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    Abstract
    Many successful digital interfaces employ visual metaphors to convey features or data properties to users, but the characteristics that make a visual metaphor effective are not well understood. We used a theoretical conception of metaphor from cognitive linguistics to design an interactive system for viewing the citation network of the corpora of literature in the JSTOR database, a highly connected compound graph of 2 million papers linked by 8 million citations. We created 4 variants of this system, manipulating 2 distinct properties of metaphor. We conducted a between-subjects experimental study with 80 participants to compare understanding and engagement when working with each version. We found that building on known image schemas improved response time on look-up tasks, while contextual detail predicted increases in persistence and the number of inferences drawn from the data. Schema-congruency combined with contextual detail produced the highest gains in comprehension. These findings provide concrete mechanisms by which designers presenting large data sets through metaphorical interfaces may improve their effectiveness and appeal with users.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.10, S.2338-2349
  16. Parsons, P.; Sedig, K.: Adjustable properties of visual representations : improving the quality of human-information interaction (2014) 0.00 
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    Abstract
    Complex cognitive activities, such as analytical reasoning, problem solving, and sense making, are often performed through the mediation of interactive computational tools. Examples include visual analytics, decision support, and educational tools. Through interaction with visual representations of information at the visual interface of these tools, a joint, coordinated cognitive system is formed. This partnership results in a number of relational properties-those depending on both humans and tools-that researchers and designers must be aware of if such tools are to effectively support the performance of complex cognitive activities. This article presents 10 properties of interactive visual representations that are essential and relational and whose values can be adjusted through interaction. By adjusting the values of these properties, better coordination between humans and tools can be effected, leading to higher quality performance of complex cognitive activities. This article examines how the values of these properties affect cognitive processing and visual reasoning and demonstrates the necessity of making their values adjustable-all of which is situated within a broader theoretical framework concerned with human-information interaction in complex cognitive activities. This framework can facilitate systematic research, design, and evaluation in numerous fields including information visualization, health informatics, visual analytics, and educational technology.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.3, S.455-482
  17. Mercun, T.; Zumer, M.; Aalberg, T.: Presenting bibliographic families : Designing an FRBR-based prototype using information visualization (2016) 0.00 
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    Abstract
    Purpose - Despite the importance of bibliographic information systems for discovering and exploring library resources, some of the core functionality that should be provided to support users in their information seeking process is still missing. Investigating these issues, the purpose of this paper is to design a solution that would fulfil the missing objectives. Design/methodology/approach - Building on the concepts of a work family, functional requirements for bibliographic records (FRBR) and information visualization, the paper proposes a model and user interface design that could support a more efficient and user-friendly presentation and navigation in bibliographic information systems. Findings - The proposed design brings together all versions of a work, related works, and other works by and about the author and shows how the model was implemented into a FrbrVis prototype system using hierarchical visualization layout. Research limitations/implications - Although issues related to discovery and exploration apply to various material types, the research first focused on works of fiction and was also limited by the selected sample of records. Practical implications - The model for presenting and interacting with FRBR-based data can serve as a good starting point for future developments and implementations. Originality/value - With FRBR concepts being gradually integrated into cataloguing rules, formats, and various bibliographic services, one of the important questions that has not really been investigated and studied is how the new type of data would be presented to users in a way that would exploit the true potential of the changes.
  18. Minkov, E.; Kahanov, K.; Kuflik, T.: Graph-based recommendation integrating rating history and domain knowledge : application to on-site guidance of museum visitors (2017) 0.00 
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    Abstract
    Visitors to museums and other cultural heritage sites encounter a wealth of exhibits in a variety of subject areas, but can explore only a small number of them. Moreover, there typically exists rich complementary information that can be delivered to the visitor about exhibits of interest, but only a fraction of this information can be consumed during the limited time of the visit. Recommender systems may help visitors to cope with this information overload. Ideally, the recommender system of choice should model user preferences, as well as background knowledge about the museum's environment, considering aspects of physical and thematic relevancy. We propose a personalized graph-based recommender framework, representing rating history and background multi-facet information jointly as a relational graph. A random walk measure is applied to rank available complementary multimedia presentations by their relevancy to a visitor's profile, integrating the various dimensions. We report the results of experiments conducted using authentic data collected at the Hecht museum. An evaluation of multiple graph variants, compared with several popular and state-of-the-art recommendation methods, indicates on advantages of the graph-based approach.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1911-1924
  19. 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
    LCSH
    Information visualization
    Subject
    Information visualization
  20. Soylu, A.; Giese, M.; Jimenez-Ruiz, E.; Kharlamov, E.; Zheleznyakov, D.; Horrocks, I.: Towards exploiting query history for adaptive ontology-based visual query formulation (2014) 0.00 
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    Abstract
    Grounded on real industrial use cases, we recently proposed an ontology-based visual query system for SPARQL, named OptiqueVQS. Ontology-based visual query systems employ ontologies and visual representations to depict the domain of interest and queries, and are promising to enable end users without any technical background to access data on their own. However, even with considerably small ontologies, the number of ontology elements to choose from increases drastically, and hence hinders usability. Therefore, in this paper, we propose a method using the log of past queries for ranking and suggesting query extensions as a user types a query, and identify emerging issues to be addressed.
    Series
    Communications in computer and information science; 478

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