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  • × author_ss:"Jacob, E.K."
  1. Jacob, E.K.; Albrechtsen, H.: When essence becomes function : post-structuralist implications for an ecological theory of organizational classification systems (1999) 0.01
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    Source
    Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen
  2. Hajibayova, L.; Jacob, E.K.: Factors influencing user-generated vocabularies : how basic are basic level terms? (2015) 0.01
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    Source
    Knowledge organization. 42(2015) no.2, S.102-112
  3. Lee, S.; Jacob, E.K.: ¬An integrated approach to metadata interoperability : construction of a conceptual structure between MARC and FRBR (2011) 0.01
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    Date
    10. 9.2000 17:38:22
  4. Ding, Y.; Jacob, E.K.; Zhang, Z.; Foo, S.; Yan, E.; George, N.L.; Guo, L.: Perspectives on social tagging (2009) 0.00
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    Abstract
    Social tagging is one of the major phenomena transforming the World Wide Web from a static platform into an actively shared information space. This paper addresses various aspects of social tagging, including different views on the nature of social tagging, how to make use of social tags, and how to bridge social tagging with other Web functionalities; it discusses the use of facets to facilitate browsing and searching of tagging data; and it presents an analogy between bibliometrics and tagometrics, arguing that established bibliometric methodologies can be applied to analyze tagging behavior on the Web. Based on the Upper Tag Ontology (UTO), a Web crawler was built to harvest tag data from Delicious, Flickr, and YouTube in September 2007. In total, 1.8 million objects, including bookmarks, photos, and videos, 3.1 million taggers, and 12.1 million tags were collected and analyzed. Some tagging patterns and variations are identified and discussed.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2388-2401
  5. Ding, Y.; Jacob, E.K.; Fried, M.; Toma, I.; Yan, E.; Foo, S.; Milojevicacute, S.: Upper tag ontology for integrating social tagging data (2010) 0.00
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    Abstract
    Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata generated by bookmarking sites on the Social Web. While several existing ontologies have capitalized on the semantics of metadata created by tagging activities, the Upper Tag Ontology (UTO) emphasizes the structure of tagging activities to facilitate modeling of tagging data and the integration of data from different bookmarking sites as well as the alignment of tagging ontologies. UTO is described and its utility in modeling, harvesting, integrating, searching, and analyzing data is demonstrated with metadata harvested from three major social tagging systems (Delicious, Flickr, and YouTube).
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.3, S.505-521
  6. Albrechtsen, H.; Jacob, E.K.: ¬The dynamics of classification as boundary objects for cooperation in the electronic library (1998) 0.00
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    Content
    The notion of the classification scheme as a transitional element or "boundary object" (Star, 1989) offers an alternative to the more traditional approach that views classification as an organizational structure imposed upon a body of knowledge to facilitate access within a universal and frequently static framework. Recognition of the underlying relationship between user access and the collective knowledge structures that are the basis for knowledge production indicates the dynamic role of classification in supporting coherence and articulation across heterogeneous contexts. To this end, it is argued that the library should be an active participant in the production of knowledge, and that this role can be effected by the development of classificatory structures that can support the needs of a diverse information ecology consisting of a complex web of interacting agents, users, and technologies. Within such an information ecology, a classificatory structure cannot follow a one-size-fits-all paradigm but must evolve in cooperative interaction between librarians and their user groups.
  7. Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991) 0.00
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    Imprint
    Medford : Learned Information Inc.
  8. Hert, C.A.; Jacob, E.K.; Dawson, P.: ¬A usability assessment of online indexing structures in the networked environment (2000) 0.00
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    Source
    Journal of the American Society for Information Science. 51(2000) no.11, S.971-988
  9. Jacob, E.K.: ¬The everyday world of work : two approaches to the investigation of classification in context (2001) 0.00
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    Abstract
    One major aspect of T.D. Wilson's research has been his insistence on situating the investigation of information behaviour within the context of its occurrence - within the everyday world of work. The significance of this approach is reviewed in light of the notion of embodied cognition that characterises the evolving theoretical episteme in cognitive science research. Embodied cognition employs complex external props such as stigmergic structures and cognitive scaffoldings to reduce the cognitive burden on the individual and to augment human problem-solving activities. The cognitive function of the classification scheme is described as exemplifying both stigmergic structures and cognitive scaffoldings. Two different but complementary approaches to the investigation of situated cognition are presented: cognition-as-scaffolding and cognition-as-infrastructure. Classification-as-scaffolding views the classification scheme as a knowledge storage device supporting and promoting cognitive economy. Classification-as-infrastructure views the classification system as a social convention that, when integrated with technological structures and organisational practices, supports knowledge management work. Both approaches are shown to build upon and extend Wilson's contention that research is most productive when it attends to the social and organisational contexts of cognitive activity by focusing on the everyday world of work.