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Buzydlowski, J.W.; White, H.D.; Lin, X.: Term Co-occurrence Analysis as an Interface for Digital Libraries (2002) 0.05

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Date: 22. 2.2003 17:25:39
22. 2.2003 18:16:22
Series: Lecture notes in computer science; 2539

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

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

Chan, M.L.; Lin, X.: Personalized knowledge organization and access for the Web (1999) 0.01

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Source: Library and information science research. 21(1999) no.2, S.153-172

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.

Lin, X.: Designing a visual interface for online searching (1999) 0.01

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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

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) 0.01
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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

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) 0.01

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Source: Canadian journal of information science. 16(1991) no.4, S.42-59

Lin, X.: Searching and browsing on map displays (1995) 0.01

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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

Lin, X.; Li, J.; Zhou, X.: Theme creation for digital collections (2008) 0.01

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Source: Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

Lin, X.: Map displays for information retrieval (1997) 0.01

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Source: Journal of the American Society for Information Science. 48(1997) no.1, S.40-54

Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014) 0.00

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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

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

Zeng, M.L.; Fan, W.; Lin, X.: SKOS for an integrated vocabulary structure (2008) 0.00
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Abstract

In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.

Source

Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

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