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  • × author_ss:"Noruzi, A."
  1. Noruzi, A.: FRBR and Tillett's taxonomy of bibliographic relationships (2012) 0.03 
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    Abstract
    Bibliographic relationships are one of the most active research areas in knowledge organization, especially in cataloguing. This study attempts to examine and map the FRBR (Functional Requirements for Bibliographic Records) bibliographic relationships with Tillett's taxonomy of bibliographic relationships, and to a ssess the congruence between them. The FRBR conceptual model provides a taxonomy of bibliographic relationships in chapter 5, illustrating them in 11 tables. This study shows that there is considerable congruence between these two taxonomies.
    Date
    22. 2.2013 11:13:52
    Type
    a
  2. Arsenault, C.; Noruzi, A.: Analysis of work-to-work bibliographic relationships through FRBR : a Canadian perspective (2012) 0.00 
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    Abstract
    The purpose of this study is to investigate the characteristics of Canadian publications by analyzing their bibliographic relationships based on the Functional Requirements for Bibliographic Records (FRBR) model. The study indicates frequencies of occurrence of work-to-work bibliographic relationships for manifestations published in 2009 and catalogued in the AMICUS online catalogue. The results show that approximately 4.4 percent of the 2009 bibliographic records in the AMICUS catalogue exhibit a work-to-work bibliographic relationship.
    Content
    Contribution to a special issue "The FRBR family of conceptual models: toward a linked future"
    Type
    a
  3. Noruzi, A.: Google Scholar : the new generation of citation indexes (2005) 0.00 
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    Abstract
    Google Scholar (http://scholar.google.com) provides a new method of locating potentially relevant articles on a given subject by identifying subsequent articles that cite a previously published article. An important feature of Google Scholar is that researchers can use it to trace interconnections among authors citing articles on the same topic and to determine the frequency with which others cite a specific article, as it has a "cited by" feature. This study begins with an overview of how to use Google Scholar for citation analysis and identifies advanced search techniques not well documented by Google Scholar. This study also compares the citation counts provided by Web of Science and Google Scholar for articles in the field of "Webometrics." It makes several suggestions for improving Google Scholar. Finally, it concludes that Google Scholar provides a free alternative or complement to other citation indexes.
    Type
    a
  4. Noruzi, A.: Folksonomies : (un)controlled vocabulary? (2006) 0.00 
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    Abstract
    Folksonomy, a free-form tagging, is a user-generated classification system of web contents that allows users to tag their favorite web resources with their chosen words or phrases selected from natural language. These tags (also called concepts, categories, facets or entities) can be used to classify web resources and to express users' preferences. Folksonomy-based systems allow users to classify web resources through tagging bookmarks, photos or other web resources and saving them to a public web site like Del.icio.us. Thus information about web resources and online articles can be shared in an easy way. The purpose of this study is to provide an overview of the folksonomy tagging phenomenon (also called social tagging and social bookmarking) and explore some of the reasons why we need controlled vocabularies, discussing the problems associated with folksonomy.
    Type
    a

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