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  • (Trans) Planting Digital Vita: Document Generation For VIVO

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    Titus Schleyer
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    Research networking systems (RNS) must provide compelling functionality to encourage adoption by their users. Being able to generate various documents, such as CVs and NIH biosketches, from their profile data is high on the priority list for many researchers. This project describes the reimplementation of Digital Vita’s (http://di.dental.pitt.edu/orc/) document generation functions on the VIVO platform (http://www.vivoweb.org).

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    (Trans)Planting Digital Vita: Document generation for VIVO

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    Research networking systems (RNS) must provide compelling functionality to encourage adoption by their users. Being able to generate various documents, such as CVs and NIH biosketches, from their profile data is high on the priority list for many researchers. This project describes the reimplementation of Digital Vita’s (http://di.dental.pitt.edu/orc/) document generation functions on the VIVO platform (http://www.vivoweb.org).

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    130 views28 pages

    (Trans) Planting Digital Vita: Document Generation For VIVO

    Uploaded by

    Titus Schleyer
    Research networking systems (RNS) must provide compelling functionality to encourage adoption by their users. Being able to generate various documents, such as CVs and NIH biosketches, from their profile data is high on the priority list for many researchers. This project describes the reimplementation of Digital Vita’s (http://di.dental.pitt.edu/orc/) document generation functions on the VIVO platform (http://www.vivoweb.org).

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    Attribution Non-Commercial (BY-NC)
    Download as PPT, PDF, TXT or read online from Scribd
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    of 28

    Licensed image (http://www.123rf.

    com/) 2011

    (Trans)planting Digital Vita: Document generation for VIVO


    Titus Schleyer, DMD, PhD1, Stella Mitchell, MS2, Shiyi Shen, MS1, William Shirey, MS1, Jon Corson-Rikert2, Brian Lowe2, Michael Becich, MD, PhD1, Linda Schmandt, MS1
    1University 2Cornell

    of Pittsburgh University

    The one-click pony

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    http://di.dental.pitt.edu/orc/

    Document generation in DV
    CV information maintained in My Information My Documents
    create, edit and (delete) documents (CV, online profile and NIH biosketches) editing limited to including/excluding My Info items Lego principle

    Licensed image (http://www.123rf.com/) 2011

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    [Backup slides for online demo of DV]

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    Project goal and deliverables


    Goal: transplant DV document generation functions to VIVO Deliverables
    Java Application Programming Interface (API) (VIVO RDF/XML -> RTF/PDF) Web service version of the API for non-Java environments Web application for generating CVs and NIH biosketches full documentation
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    Map data fields: Biography, Education and Position

    exact match similar no match

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    Map data fields: Biography, Education and Position

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    Map data fields: Biography, Education and Position

    similar

    no match

    exact match

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    Mapping data fields: Lessons


    DV and VIVO describe the same/similar entities, but in different ways. Data model mapping challenges
    field level mapping (e.g. semantics, field characteristics) structural mapping (e.g. classes and their relationships) no corresponding mappings (e.g. the concept present)

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    Technical approach
    profile obtained from VIVO using the Linked Data Rich Export in rdf/xml format rdf/xml converted to xml using XSPARQL (xsparql.deri.org) (see XSPARQL example) Apache Formatting Objects Processor (FOP) converts xml to a pdf or rtf document

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    Example conversions
    A persons VIVO profile in rdf/xml
    <rdf:Description rdf:about="http://vivo.iu.edu/individual/person25557"> <j.5:firstName>Katy</j.5:firstName> <j.5:lastName>Borner</j.5:lastName> <j.6:workEmail>katy(AT)indiana(DOT)edu</j.6:workEmail> ... </rdf:Description>

    is converted to the XML format used by Digital Vitas document generation engine.
    <DocumentIntermediateFormat> <person> <familyName>Borner</familyName> <givenName>Katy</givenName> ... </person> <personsEmailContacts> <emailAddress>katy(AT)indiana(DOT)edu</emailAddress> <use>business</use> </personsEmailContacts> ... </DocumentIntermediateFormat>
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    Technical approach
    Evaluated several approaches to transform RDF/XML to XML
    custom Java XSLT

    settled on XSPARQL
    easing the transformation with an innovative language based on a combination of XQuery and SPARQL well-thought out, but still early

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    Where we should be today


    Mar Apr May Jun Jul Aug Map data fields between VIVO and DV Develop data extraction methods Develop doc. gen. API Implement Web application User testing Document work products and release Present results Jan Feb

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    Where we are today


    Mar Apr May Jun Jul Aug Map data fields between VIVO and DV Develop data extraction methods Develop doc. gen. API Implement Web application User testing Document work products and release Present results Jan Feb

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    Next Steps
    application interface for managing CVs and biosketches
    customize existing content
    e.g., publications

    enter biosketch-specific information


    e.g, personal statement

    configure options
    sorting citation style

    persist as named profile


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    Document configuration model in VIVO

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    Discussion and outlook


    successful (for now, partial) transfer of functionality from DV to VIVO mapping data models required significant effort The way forward: An App Store for research networking?

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    Thank You for Your Attention!


    Questions, comments?
    Public domain image (http://karenswhimsy.com/tree-clipart.shtm) 2011

    Thanks to: NCRR award 1 U54 RR023506-01 VIVO Collaborative Grant Program through NCRR award U24RR029822 Dr. Axel Polleres, Nuno Lopes and others at DERI

    Please visit us at: http://di.dental.pitt.edu/orc Twitter Facebook /titusschleyer Scribd

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    http://scr.bi/pGX6tk

    DV Docs for VIVO Titus Schleyer et al.

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