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  • × author_ss:"Lin, X."
  1. Doszkocs, T.E.; Reggia, J.; Lin, X.: Connectionist models and information retrieval (1990) 0.01
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    Source
    Annual review of information science and technology. 25(1990), S.209-260
  2. Ding, W.; Lin, X.: Information Architecture : the design and integration of information spaces (2009) 0.01
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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
  3. Marchionini, G.; Dwiggins, S.; Katz, A.; Lin, X.: Information seeking in full-text and-user-oriented search systems : the roles of domain and search expertise (1993) 0.01
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    Source
    Library and information science research. 15(1993) no.1, S.35-69
  4. Lin, X.; Bui, Y.: Information visualization (2009) 0.01
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    Abstract
    The goal of information visualization (IV) is to amplify human cognition through computer-generated, interactive, and visual data representation. By combining the computational power with human perceptional and associative capabilities, IV will make it easier for users to navigate through large amounts of information, discover patterns or hidden structures of the information, and understand semantics of the information space. This entry reviews the history and background of IV and discusses its basic principles with pointers to relevant resources. The entry also summarizes major IV techniques and toolkits and shows various examples of IV applications.
    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  5. Lin, X.: Map displays for information retrieval (1997) 0.01
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    Abstract
    The focus of this article is to develop a map display for information retrieval. Through an examination of relationships among visual displays, information retrieval, and browsing, advantages of visual displays for information retrieval are characterized as (1) the ability to convey a large amount of information in a limited space, (2) the potential to reveal semantic relationships of terms and documents; and (3) the facilitation of browsing and perceptual inferences on retrieval interfaces. These advantages are further demonstrated through a map display generated by a neural network's self-organizing algorithm. The map display detects complex relationships among given documents, and reveals the relationships through a spatial arrangement of terms abstracted from the documents. The map display also provides interactive tools to allow the user to interact with the underlying information. Examples of the map displays show that such map displays can be used both as an overview tool and an access or exploration tool, and the map displays will likely increase the amount of information that the user is willing to browse
    Source
    Journal of the American Society for Information Science. 48(1997) no.1, S.40-54
  6. Lin, X.: Searching and browsing on map displays (1995) 0.00
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    Abstract
    Compares 3 different map displays generated from the same set of documents by either a self-organizing algorithm or human subjects. Aims to: evaluate usefulness of map displays for information seeking and observe how people search and browse on them and to compare their structural and visual features. 68 subjects were randomly assigned to 3 selected map displays. They were asked to perform simple retrieval tasks, and their performances were analyzed. Both the organization and the visual appearance of displays had significant effects on subjects' searching and browsing on the map displays
    Imprint
    Medford, NJ : Learned Information
    Source
    Forging new partnerships in information: converging technologies. Proceedings of the 58th Annual Meeting of the American Society for Information Science, ASIS'95, Chicago, IL, 9-12 October 1995. Ed.: T. Kinney
  7. Chan, M.L.; Lin, X.: Personalized knowledge organization and access for the Web (1999) 0.00
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    Source
    Library and information science research. 21(1999) no.2, S.153-172
  8. Marchionini, G.; Meadow, C.T.; Dwiggins, S.; Lin, X.; Jiabin, W.; Yuan, W.: ¬A study of user interaction with information retrieval interfaces : progress report (1991) 0.00
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    Abstract
    Reports progress and future plans for a project to study the interactions of users with information retrieval interfaces. Tests are run with professional data base searchers and with end users who are members of a profession but have little or no searching experience. Interfaces tested include a command language search system used to search DIALOG bibliographic data bases, a non-procedural system that produces DIALOG commands, and several full text systems, including one using hypertext. The intent is to determine which kinds of users perform best with each type of interface. The project is being conducted jointly bay the University of Toronto and the University of Maryland
    Source
    Canadian journal of information science. 16(1991) no.4, S.42-59
  9. Lin, X.: Designing a visual interface for online searching (1999) 0.00
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    Imprint
    Medford, NJ : Information Today
    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
  10. White, H.D.; Lin, X.; McCain, K.W.: Two modes of automated domain analysis : multidimensional scaling vs. Kohonen feature mapping of information science authors (1998) 0.00
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    Abstract
    This paper shows that, given co-citation data, Kohonen feature mapping produces results quite similar to those of multidimensional scaling, the traditional mode for computer-assisted mapping of intellectual domains. It further presents a Kohonen feature map based on author co-citation data that links author names to information about them on the World Wide Web. The results bear on a goal for present-day information science: the integration of computerized bibliometrics with document retrieval
  11. Lin, X.; White, H.D.; Buzydlowski, J.: Real-time author co-citation mapping for online searching (2003) 0.00
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    Abstract
    Author searching is traditionally based on the matching of name strings. Special characteristics of authors as personal names and subject indicators are not considered. This makes it difficult to identify a set of related authors or to group authors by subjects in retrieval systems. In this paper, we describe the design and implementation of a prototype visualization system to enhance author searching. The system, called AuthorLink, is based on author co-citation analysis and visualization mapping algorithms such as Kohonen's feature maps and Pathfinder networks. AuthorLink produces interactive author maps in real time from a database of 1.26 million records supplied by the Institute for Scientific Information. The maps show subject groupings and more fine-grained intellectual connections among authors. Through the interactive interface the user can take advantage of such information to refine queries and retrieve documents through point-and-click manipulation of the authors' names.
    Source
    Information processing and management. 39(2003) no.5, S.689-706
  12. Lin, X.; Aluker, S.; Zhu, W.; Zhang, F.: Dynamic concept representation through a visual concept explorer (2006) 0.00
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    Abstract
    In the digital environment, knowledge structures need to be constructed automatically or through self-organization. The structures need to be emerged or discovered form the underlying information. The displays need to be interactive to allow users to determine meanings of the structures. In this article, we investigate these essential features of dynamic concept representation through a research prototype we developed. The prototype generates an instant concept map upon user's request. The concept map visualizes both concept relationships and hidden structures in the underlying information. It serves as a good example of knowledge organization as an interface between users and literature.
  13. Wang, X.; Lin, X.; Shao, B.: Artificial intelligence changes the way we work : a close look at innovating with chatbots (2023) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.3, S.339-353
  14. Khoo, M.J.; Ahn, J.-w.; Binding, C.; Jones, H.J.; Lin, X.; Massam, D.; Tudhope, D.: Augmenting Dublin Core digital library metadata with Dewey Decimal Classification (2015) 0.00
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    Abstract
    Purpose - The purpose of this paper is to describe a new approach to a well-known problem for digital libraries, how to search across multiple unrelated libraries with a single query. Design/methodology/approach - The approach involves creating new Dewey Decimal Classification terms and numbers from existing Dublin Core records. In total, 263,550 records were harvested from three digital libraries. Weighted key terms were extracted from the title, description and subject fields of each record. Ranked DDC classes were automatically generated from these key terms by considering DDC hierarchies via a series of filtering and aggregation stages. A mean reciprocal ranking evaluation compared a sample of 49 generated classes against DDC classes created by a trained librarian for the same records. Findings - The best results combined weighted key terms from the title, description and subject fields. Performance declines with increased specificity of DDC level. The results compare favorably with similar studies. Research limitations/implications - The metadata harvest required manual intervention and the evaluation was resource intensive. Future research will look at evaluation methodologies that take account of issues of consistency and ecological validity. Practical implications - The method does not require training data and is easily scalable. The pipeline can be customized for individual use cases, for example, recall or precision enhancing. Social implications - The approach can provide centralized access to information from multiple domains currently provided by individual digital libraries. Originality/value - The approach addresses metadata normalization in the context of web resources. The automatic classification approach accounts for matches within hierarchies, aggregating lower level matches to broader parents and thus approximates the practices of a human cataloger.