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2. Search for ‘endocrinology.’

3. At the right side of the page, under “Display only,” click “organizations” to show only search results that are organizations.

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4. Let’s inspect the linked data available for the first search result.  Right-click and copy its Web address. 

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5.  Visit http://linksailor.com/ and past the address into its search box.

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6. Click the green arrow.  When the next page appears, click “Show data” in the upper left-hand corner.  You should see Linksailor’s rendering of the raw data:

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7. Scroll all the way to the bottom, where you should see some basic triples directly related to this department:

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The facet control on the search results page was able to identify this search result as an organization because the linked data specifies that it has an rdf:type value of http://xmlns.com/foaf/0.1/Organization.  The search was able to return this resource in a search for ‘endocrinology’ because the linked data specifies an rdfs:label value containing that string.

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8.  The SPARQL query language lets us query the structured semantic relationships directly, instead of relying on text matches.  To begin, visit http://sparql.vivo.ufl.edu/. 

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9. Click the first link, “Control Panel.” 

10. Click the “Select” button.

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11.   Let’s write a query that finds organizations whose members do research on endocrinology.  Instead of searching on a text string, we’ll use the URI of a SKOS Concept for endocrinology, http://vivo.ufl.edu/individual/n84048.  Our query will find people who are specified as having this concept as a research area, and additionally ask for the organizations in which they hold positions.

PREFIX vivo: <http://vivoweb.org/ontology/core#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>

SELECT DISTINCT ?orgName
WHERE {
    ?person vivo:hasResearchArea <http://vivo.ufl.edu/individual/n84048> .
    ?person vivo:personInPosition ?position .
    ?position vivo:positionInOrganization ?organization .
    ?organization rdfs:label ?orgName .
}

Enter the following query into the text box:

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