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Translate
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The next step of a typical harvest is the translation. The fetched data will be in its own format, and this needs to be converted into VIVO-compatible triples. If the input is an XML format, this can be done using the XSLTranslator tool and a .xsl file containing XSLT code specific to the data format being converted to RDF/XML triples. Included with Harvester in the config/datamaps/ directory are several pre-written XSLT files for frequently-needed formats (including for example Pubmed). Another standard method in harvesting data is to prepare a SPARQL Construct using the VIVO UI that will take in RDF data and transform it into the VIVO ontology. You can use the SPARQL Translator to process SPARQL Construct files against target models.
Score and Matching
Depending on your data the next step may be to match incoming data with data already in VIVO. For example, if you have just pulled in some publication information from Pubmed, you might want to compare the author names with people in your VIVO, so that you can link the publications with the authors. This comparison is done via the Score tool, which compares any values you want between VIVO and the input data, and assigns a number to the comparison.
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