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Use cases for machine-readable metadata linked according to the version and hierarchy models in the draft Documentation Specification

Steve Baskauf - 2016-05-03

This document should be considered neither stable nor citable.

Purpose: Machine-readable metadata should facilitate the discovery of useful information by a semantic client, or a human interacting with the server via software designed to translate a human-friendly interface into SPARQL queries. The purpose of this document is to specify goals (use cases) and the means to achieve them (generally in the form of a template for SPARQL queries).

Data:

The examples below use metadata about the Darwin Core standard in the form of RDF. Those data, along with the RDF that defines Dublin Core (some terms from which are incorporated into Darwin Core) can be found in the GitHub repo at https://github.com/tdwg/vocab/tree/master/code-examples/darwin-core .

In the metadata, I followed the convention that each release of Darwin Core on GitHub was a "version" with respect to the vocabularies. The exception is the current version, which has never actually been released in full. In particular, the dwciri: namespace terms defined in the RDF Guide have never been described as RDF. I have described them in https://github.com/tdwg/vocab/blob/master/code-examples/darwin-core/dwciri.ttl and added their versions to dwctermshistory.ttl .

Those triples are currently (2016-04-28) loaded in the Vanderbilt Heard Library triplestore where they can be queried using the form at http://rdf.library.vanderbilt.edu/sparql?view or interactively via HTTP GET at

<http://rdf.library.vanderbilt.edu/sparql?query= + [encodedQuery]'>

where [encodedQuery] is a URL-encoded string containing the SPARQL query.

Use cases

1. Discover all of the components of a standard One challenge with a complex standard is knowing exactly what documents and vocabularies comprise the standard. In the test metadata dataset, only three of the Darwin Core documents have been describe as RDF (the text, XML, and RDF guides) - in reality there are many more. Also, there currently is no official division of the vocabulary into "basic" and "RDF" forms, although this is implied by the RDF Guide, which defines some terms that make sense primarily in the context of RDF.

Query:

SELECT DISTINCT ?name ?type ?definition WHERE {
  <http://www.tdwg.org/standards/450/> dcterms:hasPart ?part.
  ?part rdfs:label ?name.
  ?part a ?type.
  ?part dcterms:description ?definition.
  }

2. Discover all versions of a resource

Query: In this example, the resource is the Darwin Core Basic Vocabulary.

SELECT DISTINCT ?issued ?label WHERE {
  <http://rs.tdwg.org/dwc/basic>  dcterms:hasVersion ?version.
  ?version dcterms:issued ?issued.
  ?version rdfs:label ?label.
  }
ORDER BY desc(?issued)

3. Examine the history of a currently recommended term to see how its definition has changed over time

Query:

SELECT DISTINCT ?version ?issued ?dfn ?status WHERE {
  dwc:genus dcterms:hasVersion ?recommendedVersion.
  ?recommendedVersion dwcattributes:status "recommended".
  ?recommendedVersion dcterms:replaces* ?previousVersion.
  ?previousVersion dcterms:issued ?issued.
  ?previousVersion rdfs:comment ?dfn.
  ?previousVersion dwcattributes:status ?status.
  }
ORDER BY desc(?issued)

Note that ?previousVersion includes replaced versions that are not necessarily versions of the term itself, e.g. dwc:genus-2009-08-24 is an eventual replacement for http://digir.net/schema/conceptual/darwin/2003/1.0/Genus-2003-06-13, but http://digir.net/schema/conceptual/darwin/2003/1.0/Genus-2003-06-13 is not a version of dwc:genus because of the difference in namespace and capitalization of the local name.

4. Display all terms that were part of a Darwin Core vocabulary in a particular version of that vocabulary

Query: This example finds all of the terms that were in the version of the basic Darwin Core vocabulary released on 2009-12-07. Note that terms such as dwc:occurrenceDetails do not have ?termList values because they are deprecated and not part of any current term list.

SELECT DISTINCT ?term ?termVersion ?termList WHERE {
  <http://rs.tdwg.org/dwc/basic> dcterms:hasVersion ?vocabVersion.
  ?vocabVersion dcterms:issued "2009-12-07"^^xsd:date.
  ?vocabVersion dcterms:hasPart ?listVersion.
  ?listVersion dcterms:hasPart ?termVersion.
  OPTIONAL
     {
     ?termVersion dcterms:isVersionOf ?term.
     OPTIONAL
       {
       ?term dcterms:isPartOf ?termList.
       }
    }
  }
ORDER BY ?termList

The Dublin Core terms show up only as term versions and not as terms. That's the reason for the first OPTIONAL clause. I'm not sure this is right, so we probably should discuss how to better model "borrowed" terms.

Terms such as dwc:occurrenceDetails do not have ?termList values because they are deprecated and not part of any current term list. That's the reason for the second optional clause. If dcterms:isPartOf were replaced with rdfs:isDefinedBy in the second OPTIONAL clause, those terms would have ?termList values.

5. Find differences between vocabulary versions with respect to the terms present in those versions

Query: This example shows terms that were in the 2009-12-07 version of the basic Darwin Core vocabulary that were NOT in the 2009-10-08 version of that vocabulary. It can be modified to compare any versions issued on the following dates:

2015-03-27
2014-11-08
2013-10-23
2011-10-26
2009-12-07
2009-10-08
2009-09-23
2009-07-06
2009-05-25
2009-04-29
2009-02-20

by substituting them in the appropriate place in the query.

SELECT DISTINCT ?term ?termVersion  WHERE {
  # Version2 is the vocabulary version whose terms are shown that are not in Version1
  <http://rs.tdwg.org/dwc/basic> dcterms:hasVersion ?vocabVersion2.
  ?vocabVersion2 dcterms:issued "2009-12-07"^^xsd:date.
  ?vocabVersion2 dcterms:hasPart ?listVersion2.
  ?listVersion2 dcterms:hasPart ?termVersion.
  MINUS {
        <http://rs.tdwg.org/dwc/basic> dcterms:hasVersion ?vocabVersion1.
        ?vocabVersion1 dcterms:issued "2009-10-08"^^xsd:date.
        ?vocabVersion1 dcterms:hasPart ?listVersion1.
        ?listVersion1 dcterms:hasPart ?termVersion.
        }
  OPTIONAL
     {
     ?termVersion dcterms:isVersionOf ?term.
     }
  }
ORDER BY ?term

6. Show the definitions and comments of terms that were replaced between two versions. It is not required that the versions be consecutive.

Query:

SELECT DISTINCT ?termVersion2 ?definition2 ?comment2 ?termVersion1 ?definition1 ?comment1 WHERE {
  <http://rs.tdwg.org/dwc/basic> dcterms:hasVersion ?vocabVersion2.
  ?vocabVersion2 dcterms:issued "2014-11-08"^^xsd:date.
  ?vocabVersion2 dcterms:hasPart ?listVersion2.
  ?listVersion2 dcterms:hasPart ?termVersion2.
  ?termVersion2 rdfs:comment ?definition2.
  OPTIONAL {?termVersion2 dcterms:description ?comment2.}

  <http://rs.tdwg.org/dwc/basic> dcterms:hasVersion ?vocabVersion1.
  ?vocabVersion1 dcterms:issued "2011-10-26"^^xsd:date.
  ?vocabVersion1 dcterms:hasPart ?listVersion1.
  ?listVersion1 dcterms:hasPart ?termVersion1.
  ?termVersion1 rdfs:comment ?definition1.
  OPTIONAL {?termVersion1 dcterms:description ?comment1.}

  ?termVersion2 dcterms:replaces+ ?termVersion1.
  }
ORDER BY ?termVersion2

7. Show the definitions and comments of properties that have changed between a given date and the present. This use case is related to Issue #3, which raised concerns about archived data in the context of terms that no longer exist.

Query: The following query actually addresses a broader situation than what was raised in Issue #3 in that it discovers not only terms whose IRI has changed, but also terms whose definition or comments have changed. In the example, a dataset may have been archived using Darwin Core terms that were current on 2011-01-01. The query discovers term versions that were replaced by other versions that are currently Recommended (and which may or may not have the same term IRI). It does not discover terms that were deprecated and not replaced (there's no help for those). A user could then evaluate whether the changes that have occurred would affect the interpretation of the dataset. Note that it also shows changes in the recommended form of the values, such as the change from comma separators to pipe separators.

SELECT DISTINCT ?termVersion ?replaceDate ?oldDfn ?oldComment ?recTerm ?newDfn ?newComment WHERE {
  ?termVersion a rdf:Property.  # only interested in property terms
#  ?termVersion dcterms:isVersionOf ?term.
  ?termVersion dcterms:issued ?issueDate.
  FILTER (?issueDate < "2011-01-01"^^xsd:date)  # the version must exist before that date
  ?termVersion dcterms:isReplacedBy ?replacement.
  ?replacement dcterms:issued ?replaceDate.
  FILTER (?replaceDate > "2011-01-01"^^xsd:date) # the version must be replaced by something after that date
  ?termVersion dcterms:isReplacedBy+ ?recVersion.
  ?recVersion dwcattributes:status "recommended". # find the currently recommended replacement
  ?recVersion dcterms:isVersionOf ?recTerm.
  ?termVersion rdfs:comment ?oldDfn.
  OPTIONAL {?termVersion dcterms:description ?oldComment.}
  ?recVersion rdfs:comment ?newDfn.
  OPTIONAL {?recVersion dcterms:description ?newComment.}
  }
ORDER BY ?termVersion

The query displays the earlier term version IRI rather than the term IRI itself. That's because I got lazy when I generated the RDF graph and didn't generate records for the really old DwC terms - I only included the version records of those terms that were found in dwctermshistory.rdf. For more recent dates, the first three lines of the query could be changed to:

SELECT DISTINCT ?term ?replaceDate ?oldDfn ?oldComment ?recTerm ?newDfn ?newComment WHERE {
  ?termVersion a rdf:Property.  # only interested in property terms
  ?termVersion dcterms:isVersionOf ?term.

The revised query would then show the undated term IRIs for the older terms, instead of the versioned IRIs. With some modification, the revised query could be used to find only terms whose IRIs have changed since the date of the dataset (as in the case of dwc:individualID changing to dwc:organismID).