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Howard L Bleich - One of the best experts on this subject based on the ideXlab platform.

  • medical Subject Headings used to search the biomedical literature
    Journal of the American Medical Informatics Association, 2001
    Co-Authors: Margaret H Coletti, Howard L Bleich
    Abstract:

    The National Library of Medicine's MEDLINE (MEDLARS Online) database was the first database to be searched nationwide via value-added telecommunication networks. Now available on the World Wide Web free of charge from the National Library of Medicine and from many other sources, it is the world's most heavily used medical database. MEDLINE is unique in that each reference to the medical literature is indexed under a controlled vocabulary called Medical Subject Headings (MeSH). These Headings are the keys that unlock the medical literature. MeSH multiplies the usefulness of the MEDLINE database and makes it possible to search the medical literature as we do today. This paper commemorates the 40th anniversary of the introduction of MeSH and salutes some of the farsighted persons who conceived and developed the MEDLINE database.

  • conceptual mapping of user s queries to medical Subject Headings
    Conference of American Medical Informatics Association, 1997
    Co-Authors: Yuri L Zieman, Howard L Bleich
    Abstract:

    Abstract This paper describes a way to map users' queries to relevant Medical Subject Headings (MeSH terms) used by the National Library of Medicine to index the biomedical literature. The method, called SENSE (SEarch with New SEmantics), transforms words and phrases in the users' queries into primary conceptual components and compares these components with those of the MeSH vocabulary. Similar to the way in which most numbers can be split into numerical factors and expressed as their product--for example, 42 can be expressed as 2*21, 6*7, 3*14, 2*3*7,--so most medical concepts can be split into "semantic factors" and expressed as their juxtaposition. Note that if we split 42 into its primary factors, the breakdown is unique: 2*3*7. Similarly, when we split medical concepts into their "primary semantic factors" the breakdown is also unique. For example, the MeSH term 'renovascular hypertension' can be split morphologically into reno, vascular, hyper, and tension--morphemes that can then be translated into their primary semantic factors--kidney, blood vessel, high, and pressure. By "factoring" each MeSH term in this way, and by similarly factoring the user's query, we can match query to MeSH term by searching for combinations of common factors. Unlike UMLS and other methods that match at the level of words or phrases, SENSE matches at the level of concepts; in this way, a wide variety of words and phrases that have the same meaning produce the same match. Now used in PaperChase, the method is surprisingly powerful in matching users' queries to Medical Subject Headings.

Melissa Adler - One of the best experts on this subject based on the ideXlab platform.

  • transcending library catalogs a comparative study of controlled terms in library of congress Subject Headings and user generated tags in librarything for transgender books
    Journal of Web Librarianship, 2009
    Co-Authors: Melissa Adler
    Abstract:

    Perhaps the greatest power of folksonomies, especially when set against controlled vocabularies like the Library of Congress Subject Headings, lies in their capacity to empower user communities to name their own resources in their own terms. This article analyzes the potential and limitations of both folksonomies and controlled vocabularies for transgender materials by analyzing the Subject Headings in WorldCat records and the user-generated tags in LibraryThing for books with transgender themes. A close examination of the Subject Headings and tags for twenty books on transgender topics reveals a disconnect between the language used by people who own these books and the terms authorized by the Library of Congress and assigned by catalogers to describe and organize transgender-themed books. The terms most commonly assigned by users are far less common or non-existent in WorldCat. The folksonomies also provide spaces for a multiplicity of representations, including a range of gender expressions, whereas the...

Devind Peter - One of the best experts on this subject based on the ideXlab platform.

Lisa Dresner - One of the best experts on this subject based on the ideXlab platform.

  • Urban Affairs Subject Headings
    2020
    Co-Authors: Lisa Dresner
    Abstract:

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Paul Mclaughlan - One of the best experts on this subject based on the ideXlab platform.

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