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  • harvesting information from several independent installations of VIVO or other software that can export produce RDF compatible with the VIVO ontology in one of 3 (or possibly more) ways
    • responding to linked open data requests in one of several RDF serializations
      • note that this may be directly from a VIVO application or from Harvard Profiles
      • or from another application configured to return RDF
        • e.g., Iowa's Loki software does not store data natively in RDF but can return it in response to linked data requests
        • or using D2R (http://d24q.org)
        • or using tools such as John Fereira's semantic services, although these were designed to deliver data from VIVO to other applications not configured to consume RDF directly
    • returning an entire file of RDF from a web-accessible directory (a file with only the statements about the URI requested; it my also be possible to return one big file containing that URI)
    • responding to SPARQL query requests from a public SPARQL endpoint
      • or, if the harvesting tool is provided with credentials, from a private SPARQL endpoint
  • indexing the information harvested, including the original URI in the source system and a subset of the content associated with that URI in the source system, to facilitate text-based searching
  • providing a simple, Google-like search with options to limit in advance by type of result (e.g., people, organizations, publications, events)
  • providing results that have been relevance ranked across the sources being searched, in contrast to federated searches
  • providing short snippets of text for each result to aid interpretation
  • providing faceted display to aid users in filtering results; the two current facets are source institution and the type of result
  • linking back from each result to the source so that the full scope of the result can be seen in its original context

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