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Resolvability of References in Users’ Personal Collections. Nishikant Kapoor, John T Butler, Gary C Fouty, James A Stemper, Joseph A Konstan GroupLens Research Group and University Libraries University of Minnesota. Personal Collections. Class projects Students, faculty
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Resolvability of References in Users’ Personal Collections Nishikant Kapoor, John T Butler, Gary C Fouty, James A Stemper, Joseph A Konstan GroupLens Research Group and University Libraries University of Minnesota
Personal Collections • Class projects • Students, faculty • Research papers, proposals, workshops • Academics, industry • Collaborate with fellow researchers • Within and across groups • Intra and inter disciplinary
User Profile • Users’ online personal reference collections • Represent users’ profile • Research interests • Research collaborations • Single collections • Diverse • Multiple collections • Task based • Workgroup based
Research Objectives • Understand • Users’ personal collections • Define • Users’ profile • Develop • Personalized digital library services such as reference recommender system
Research Questions • How can we utilize users’ personal collections to offer them personalized services? • Can references in users’ personal collections be resolved to unique identifiers? • How many of those do actually resolve to a unique online identifier? • How can we enhance resolvability of references in these collections?
Our Approach • Most research work focuses on mining • Textual content of references • Implicitly rated citations in the reference section • Our focus is users’ personal collections • Identifying them to a unique ID • Use these collections as an implicit means to define users’ profile
Data Collection • RefWorks users • 96 collections • 30,336 references • Two outliers (4000+ and 7000+)
Resolvability • A reference is resolvable if it has • A valid unique ID that leads to its online source: DOI, URL, ISBN • URL may or may not be unique • Enough information to resolve it to its online source • All references that can be represented using a valid unique ID, are potentially resolvable (assuming they exist online).
Total potentially resolvable references: 24,719 + 548 + 74 + 2,216 = 27,557 (90.84%) Potential Resolvability
Actual Resolvability 3,765+793+622 = 5,180 (17.07%) 1,932+771+544 = 3,247 (10.70%)
External Resolvers • DOI and OpenURL Query Interfaces • Reference resolver at crossref.org • ISBN Query Interfaces • Reference resolver at worldcat.org • URL Validation • Validated existence of URL, not its accuracy • Did not attempt to retrieve reference ID
Resolvability Computation Resolvability = 60+1+8646+213+321+1349+1914+9 = 12,513 (41.25%)
Concerns • Not all intellectual content is digitized yet • If an ID could not be retrieved programmatically, we assumed the reference is un-resolvable. • Using additional reference resolvers could enhance resolvability further • Privacy concerns • Users’ private collections MUST remain private
Limitations • Dataset • Too diverse to form meaningful correlations among users • Very small to develop CF based DL services
Summary and Results • Potential resolvability • Over 90% of the total references in users’ personal collections could possibly have a valid ID (DOI, ISBN, URL) • Available resolvability • About 17% references had a valid ID • Actual resolvability • Fewer than 11% references resolved successfully • Enhanced resolvability • Over 41% of total references could be resolved
Future Work • Understand how users maintain their personal reference collections • What tools and methods do they use • Import, hand-typed, cut ‘n’ paste • Understand how truly do these collections represent users’ profile? • What degree of reference overlap can we expect among the collections of different users?
Thanks! • NSF • RefWorks (http://www.refworks.cm/)
Resolvability of References in Users’ Personal Collections Nishikant Kapoor Questions?