NISO/DCMI May 22 Webinar: Semantic Mashups Across Large, Heterogen...

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NISO/DCMI Webinar:
Semantic Mashups Across
Large, Heterogeneous Institutions:
Experiences from the VIVO Service
May 22, 20...

Semantic mashups across
large, heterogeneous
institutions: experiences
from the VIVO service
John Fereira
Cornell Universi...

Overview
• What is VIVO?
• History of VIVO
• High level Overview
• Ingesting Data into VIVO
• Exposing Data in Vivo

What is VIVO?
• VIVO is not an acronym
• A semantic web application that enables the discovery of
research and scholarship...

What is VIVO?
• An ontology editor. Vivo includes a “vivo” ontology
with can be modified and extended
• An instance editor...

What is VIVO?
• VIVO is a content disseminator
• Views of People, Organizations, etc. can be highly
customized
• VIVO prov...

A brief History of VIVO
• 2003 – Vivo created for local use at Cornell University
for life sciences collaboration
• 2007 -...

A brief History of VIVO
• 2009 - seven institutions received $12.2 million in
funding from the National Center for Researc...

A high level Overview
• Core ideas
• Searching/browsing
• Self editing

Core ideas
• Research and researchers should be discoverable
independently of administrative hierarchies
• Relationships a...

VIVO and Linked Open Data
• VIVO enables authoritative data about researchers to become
part of the Linked Open Data (LOD)...

Linked Data principles
Tim Berners-Lee:
▫ Use URIs as names for things
▫ Use HTTP URIs so that people can look up those na...

VIVO in the LOD cloud

Searching and Browsing
• Triple store indexed into a SOLR instance
• Searches are against SOLR
• Instance data comes from ...

Food security

Editable and non-editable fields

Most text fields support “rich text”

External Concepts for “terms”

Data Ingest (harvesting)

VIVO harvests much of its data automatically from
verified sources
•Reduces the need for manual input of data
•Provides an...

Ingesting data with the Vivo Harvester
• A pipeline of tools
• Tools are written java, using Jena APIs
• Can fetch data fr...

Harvesting Pipeline
• Fetcher/Parser
• Translate: maps rdf to “vivo” RDF
• Transfer to local triple store (Jena TDB)
• Dis...

Fetching and Parsing
• Fetches data from a URL, Database, local file
• Many different types of fetchers
▫ CSV fetcher
▫ JD...

<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:node-person="http://vivo.exam...

Translate
• Map “fake” namespace to VIVO classes and
properties
• Uses XSLT transform
• Unique ID for each record
• node-p...

Translated RDF
<rdf:Description rdf:about="http://vivo.example.com/harvest/aims_users/person/uid-108074">
<rdf:type rdf:re...

Transfer
• Load RDF into TDB triplestore
• Duplicate URIs are not loaded
• Further operations are made in the triple store

Scoring/Match
• Disambiguates People, Organizations, etc. based
upon property values
• Supports Equality, NameCompare,
Nor...

Matching
• Determines what should be done with a record
which matches another record based upon it’s
“score”
▫ Replace old...

ChangeNameSpace
• Match old namespace pattern in configuration file
http://vivo.example.com/harvest/aims_users/person/
• S...

Diff of previous harvest
• Compare TDB model with previous harvest
• Generate vivo-additions.rdf
• Generate vivo-substract...

Final Transfer
• Load vivo-subtractions.rdf file into SDB
• Load vivo-additions.rdf file into SDB

Data Ingest alternatives
• Karma: an information integration tool which
provides a GUI for modeling data into an ontology
...

Exposing Data in VIVO
• Vivo web pages
• View data as RDF
• Query a Sparql Endpoint and transform results
• Drupal front e...

Default VIVO theme

Cornell VIVO

Griffiths University

Melbourne Find an Expert

Visualization
• Completed Work
▫ Co-Author visualization
▫ Sparklines
▫ VIVO world activity map

VIVO 1.0 source code was publicly released on April 14, 2010
87 downloads by June 11, 2010. 917 downloads on July 16, 2o10...

Requesting RDF using an Accept Header
• curl -H "Accept: application/rdf+xml" -X GET
http://vivo.ufl.edu/display/n25562

Retrieving data with SPARQL
• Fuseki sparql endpoint installed (not included)
• Callable with a SPARQL Client
• Semantic S...

Semantic Services application

Hector Abruna in VIVO

Hector Abruna on Chemistry Site

Viewing VIVO data with Drupal
• Import data with Feeds module and Linked Data
Importer
• Examples

Cals Impact Statements

Agrivivo Home Page

Agrivivo map page

AgriVivo

VivoSearch: search across multiple
vivo sites

Vivo SearchLight bookmarklet

Vivo Searchlight

Some Links
• Vivoweb
▫ http://vivoweb.org
• Vivoweb on Sourceforge
▫ http://www.sourceforge.net/projects/vivo
• VivoSearch...

Thank you

NISO/DCMI Webinar
Semantic Mashups Across Large, Heterogeneous
Institutions: Experiences from the VIVO Service
NISO/DCMI W...

Thank you for joining us today.
Please take a moment to fill out the brief online survey.
We look forward to hearing from ...

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