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Domain knowledge expressed in structured citation formats
can be exploited in data mining. We propose four structural properties
of canonically cited texts, then look at to two classic problems in
the study of the scholia, or ancient scholarly commentary, found in the
manuscripts of the Iliad. We cluster citations of scholia to analyze their
distribution in different manuscripts; this leads to a revised view of how
the manuscripts' scribes drew on their source material. Correlated
frequencies of named entities suggest that one group of manuscripts
had access to material more closely based on the work of the greatest
Hellenistic editor of Homer, Aristarchus of Samothrace.
In proceedings for Text Mining Services, page 129-139, 2009.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
D. Neel Smith and Gabriel A. Weaver, "Applying Domain Knowledge from Structured Citation Formats to Text and Data Mining: Examples Using the CITE Architecture." Dartmouth Computer Science Technical Report TR2009-649, June 2009.
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