A Focused Analysis of MARC Records in HathiTrust

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Presentation transcript:

A Focused Analysis of MARC Records in HathiTrust Records become statements HTRC currently uses solr Indexing Statements take a key=> value form title => Emma Alternatives being explored include RDF triplestore Processing makes assumptions about what information is where. Colleen Fallaw Sarah Yarrito Erik Radio MJ Han Tim Cole

Clear, rich, accurate description Scholar Needs Workset Clear, rich, accurate description Compound queries Matching

Concerns Found Ambiguous Current vs. original language not consistently distinguished for translated works Ambiguous Concepts such as geographical coverage information spread through multiple fields Distributed Punctuation and formatting vary for author, title, publisher, and date fields relied on for matching Inconsistent

Information Control Fields Descriptive Fields Language 008 Positions 35-37 041 $a Date of Publication 008 Positions 07-10, 11-14 260/264 $c Place of Publication 008 Positions 15-17 260/264 $a Geographic Coverage n/a 651 $a, 650 $z, 043 $a 651 $a(18%) 650 $z(25%) 043 $a(25%) x 6% 7% 3% 2% 12% 5% 60% *651 $a (Subject Added Entry) Topical Term/Topical term or geographic name entity element *650 $z: (Subject Added Entry) Geographic name/geographic subdivision *043 $a (Geographic Area Code) Geographic area code

Implications Link Enhance Correct