A probabilistic similarity metric for Medline records: A model for author name disambiguation
نویسندگان
چکیده
منابع مشابه
A Probabilistic Similarity Metric for Medline Records: A Model for Author Name Disambiguation
We present a model for automatically generating training sets and estimating the probability that a pair of Medline records sharing a last and first name initial are authored by the same individual, based on shared title words, journal name, co-authors, medical subject headings, language, and affiliation, as well as distinctive features of the name itself (i.e., presence of middle initial, suff...
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Author name ambiguity has been a long-standing problem which impairs the accuracy of publication retrieval and bibliometric methods. Most of the existing disambiguation methods are built on similarity measures, e.g., “Jaccard Coefficient”, between two sets of papers to be disambiguated, each set represented by a set of categorical features, e.g., coauthors and published venues. Such measures pe...
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Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries, we designed an author name disambiguation system consisting of similarity estimation and agglomerative clustering. A machine-learning method was e...
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0020-0255/$ see front matter 2012 Elsevier Inc http://dx.doi.org/10.1016/j.ins.2012.04.022 ⇑ Corresponding author at: Departamento de Ciên E-mail addresses: [email protected] (A.A. F dcc.ufmg.br (A.H.F. Laender), [email protected] 1 Here regarded as a set of bibliographic informati particular article. The author name disambiguation task has to deal with uncertainties related to the possib...
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Falsely identifying different authors as one is called merging error in the name disambiguation of coauthorship networks. Research on the measurement and distribution of merging errors helps to collect high quality coauthorship networks. In the aspect of measurement, we provide a Bayesian model to measure the errors through author similarity. We illustratively use the model and coauthor similar...
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ژورنال
عنوان ژورنال: Journal of the American Society for Information Science and Technology
سال: 2004
ISSN: 1532-2882,1532-2890
DOI: 10.1002/asi.20105