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  • × author_ss:"Ding, W."
  1. Ding, W.; Lin, X.: Information Architecture : the design and integration of information spaces (2009) 0.02
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    Abstract
    Information Architecture is about organizing and simplifying information, designing and integrating information spaces/systems, and creating ways for people to find and interact with information content. Its goal is to help people understand and manage information and make right decisions accordingly. In the ever-changing social, organizational and technological contexts, Information Architects not only design individual information spaces (e.g., individual websites, software applications, and mobile devices), but also tackle strategic aggregation and integration of multiple information spaces across websites, channels, modalities, and platforms. Not only they create predetermined navigation pathways, but also provide tools and rules for people to organize information on their own and get connected with others. Information Architects work with multi-disciplinary teams to determine the user experience strategy based on user needs and business goals, and make sure the strategy gets carried out by following the user-centered design (UCD) process via close collaboration with others. Drawing on the author(s) extensive experience as HCI researchers, User Experience Design practitioner, and Information Architecture instructors, this book provides a balanced view of the IA discipline by applying the IA theories, design principles and guidelines to the IA and UX practices. It also covers advanced topics such as Enterprise IA, Global IA, and Mobile IA. In addition to new and experienced IA practitioners, this book is written for undergraduate and graduate level students in Information Architecture, Information Sciences, Human Computer Interaction, Information Systems and related disciplines.
    Series
    Synthesis lectures on information concepts, retrieval, and services ; xx
  2. Ding, W.; Soergel, D.; Marchionini, G.: Performance of visual, verbal, and combined video surrogates (1999) 0.00
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    Abstract
    This study investigates the information representation power of different modalities in the video data in order to collect empirical evidence for video surrogate creation and thus better support effective video browsing and information retrieval. Three types of video surrogates - keyframe, keyword/phrase, and combination of the two were created and compared under two user tasks-verbal comprehension and visual gisting in user performance and preference. Results and discussions follow
    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  3. Ding, W.; Marchionini, G.: ¬A comparative study of Web search service performance (1996) 0.00
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    Abstract
    Investigates the current state of search services conducted by comparing 3 popular WWW based search services: InfoSeek, Lycos and OpenText. A taxonomy of service features was first created to do a descriptive comparison. A set of 5 questions were used to conduct searches with the 3 services. Each service offered some advantage for specific queries although Lycos and OpenText showed better results for the different precision metrics used in this limited study. There was a low result overlap among the 3 services. None of the services provide good output control for users. Makes recommendations for improvements in display, indexing and updating
    Footnote
    Vgl.: Nicholson, S.: Raising reliability of Web search tools ... In: JASIS 51(2000) no.8, S.724-729
    Source
    Global complexity: information, chaos and control. Proceedings of the 59th Annual Meeting of the American Society for Information Science, ASIS'96, Baltimore, Maryland, 21-24 Oct 1996. Ed.: S. Hardin
  4. Ding, W.; Chen, C.: Dynamic topic detection and tracking : a comparison of HDP, C-word, and cocitation methods (2014) 0.00
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    Abstract
    Cocitation and co-word methods have long been used to detect and track emerging topics in scientific literature, but both have weaknesses. Recently, while many researchers have adopted generative probabilistic models for topic detection and tracking, few have compared generative probabilistic models with traditional cocitation and co-word methods in terms of their overall performance. In this article, we compare the performance of hierarchical Dirichlet process (HDP), a promising generative probabilistic model, with that of the 2 traditional topic detecting and tracking methods-cocitation analysis and co-word analysis. We visualize and explore the relationships between topics identified by the 3 methods in hierarchical edge bundling graphs and time flow graphs. Our result shows that HDP is more sensitive and reliable than the other 2 methods in both detecting and tracking emerging topics. Furthermore, we demonstrate the important topics and topic evolution trends in the literature of terrorism research with the HDP method.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.10, S.2084-2097