Clinical and TranslationalScience Institute / CTSIat the University of California, San Francisco

CrossLinks – Towards a Single VIVO Profile EcosystemDavid Eichmann and Eric Meeks

VIVO Conference, August, 2015

Network View

Detail View

Management Console

Technical Items

• Built in Java with Fuseki (twice) and uses the foaf, geo & the experimental r2r ontologies: https://github.com/CTSIatUCSF/Crosslinks

• If you want this, it is freely available as an ORNG gadget or through a public API as JSON-LD

• Data sourced from CTSASearch, DBPedia and RNS systems (images and sometimes RDF)

Statistics

The data is quite a few months old….• SELECT count(distinct(?a)) WHERE { ?r

<http://ucsf.edu/ontology/r2r#hasAffiliation> ?a } -> 38 RNS systems• SELECT count(distinct(?r)) WHERE { ?r

<http://ucsf.edu/ontology/r2r#hasAffiliation> ?a } -> 159539 researcher URI’s• SELECT count(distinct(?r)) WHERE { ?r

<http://ucsf.edu/ontology/r2r#hasAffiliation> ?a . ?r <http://xmlns.com/foaf/0.1/publications> ?cw } -> 88955 researchers with publications

• SELECT count(distinct(?r)) WHERE { ?r <http://ucsf.edu/ontology/r2r#hasAffiliation> ?a . ?r <http://xmlns.com/foaf/0.1/publications> ?cw . ?er <http://xmlns.com/foaf/0.1/publications> ?cw . ?er <http://ucsf.edu/ontology/r2r#hasAffiliation> ?ea FILTER(?ea != ?a)} -> 45030 researches with external co authors

Why This Matters• It’s cool. It looks nice, it has icons and

thumbnails and a map.• One of the first “full cycle” VIVO LOD

features.• IMDB style user experience, better traffic to

our web sites.• Researcher are already collaborating across

walls, we need to show this.• The “egocentric view of the ecosystem” is a

powerful use case.

Next Steps

• Grants and Clinical Trials• Publication centric view• Improve disambiguation services• Active collaborations & other networks• Activity streams (pump.io)• Refresh the data

Thank you!

• http://profiles.ucsf.edu/eric.meeks