Section used to declare RPN use attribute strings (indexes) and map
them to BIBFRAME graph patterns.
Items in this section are expanded during RPN query processing and
- placeholders (%s, %d) are substituted with query terms.
+ placeholders (<literal>%s</literal>, <literal>%d</literal>,
+ <literal>%t</literal>) are substituted with query terms.
To map a given CQL index (e.g the default keyword index) into
multiple entity properties, SPARQL constructs like
`OPTIONAL` or `UNION` could be used.
</para>
</listitem>
</varlistentry>
+ <varlistentry><term><present type="attribute"/></term>
+ <listitem>
+ <para>
+ Section used to declare retrieval for a given element-set
+ (SRU schema). The CDATA is SPARQL where <literal>%u</literal> holds
+ the URI of the record. This can be used to construct the resulting
+ record.
+ </para>
+ </listitem>
+ </varlistentry>
+ <varlistentry><term><modifier/></term>
+ <listitem>
+ <para>
+ Optional section that allows you to add solution sequences or
+ modifiers.
+ </para>
+ </listitem>
+ </varlistentry>
+
</variablelist>
</para>
</refsect1>
</literallayout>
</refsect1>
- <refsect1><title>EXAMPLES</title>
+ <refsect1><title>EXAMPLE</title>
<para>
Configuration for database "Default" that allows searching works. Only
the field (use attribute) "bf.wtitle" is supported.
<filter type="sparql">
<db path="Default"
uri="http://bibframe.indexdata.com/sparql/"
- schema="sparql-results"
- >
+ schema="sparql-results">
<prefix>rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns</prefix>
<prefix>bf: http://bibframe.org/vocab/</prefix>
- <field>SELECT ?work ?wtitle</field>
+ <form>SELECT ?work ?wtitle</form>
<criteria>?work a bf:Work</criteria>
<criteria>?work bf:workTitle ?wt</criteria>
<criteria>?wt bf:titleValue ?wtitle</criteria>
</filter>
]]>
</screen>
+ The matching is done by a simple case-sensitive substring match. There is
+ no deduplication, so if a work has two titles, we get two rows.
+ </para>
+ </refsect1>
+
+ <refsect1><title>EXAMPLE</title>
+ <para>
+ A more complex configuration for database "work". This could be included in
+ the same filter section as the "Default" db above.
+ <screen><![CDATA[
+ <db path="work" schema="sparql-results">
+ <prefix>rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns</prefix>
+ <prefix>bf: http://bibframe.org/vocab/</prefix>
+ <form>SELECT
+ ?work
+ (sql:GROUP_DIGEST (?wtitle, ' ; ', 1000, 1)) AS ?title
+ (sql:GROUP_DIGEST (?creatorlabel, ' ; ', 1000, 1))AS ?creator
+ (sql:GROUP_DIGEST (?subjectlabel, ' ; ', 1000, 1))AS ?subject
+ </form>
+ <criteria>?work a bf:Work</criteria>
+
+ <criteria> OPTIONAL {
+ ?work bf:workTitle ?wt .
+ ?wt bf:titleValue ?wtitle }
+ </criteria>
+ <criteria> OPTIONAL {
+ ?work bf:creator ?creator .
+ ?creator bf:label ?creatorlabel }
+ </criteria>
+ <criteria>OPTIONAL {
+ ?work bf:subject ?subject .
+ ?subject bf:label ?subjectlabel }
+ </criteria>
+ <index type="4">?wt bf:titleValue %v FILTER(contains(%v, %s))</index>
+ <index type="1003">?creator bf:label %v FILTER(contains(%v, %s))</index>
+ <index type="21">?subject bf:label %v FILTER(contains(%v, %s))</index>
+ <index type="1016"> {
+ ?work ?op1 ?child .
+ ?child ?op2 %v FILTER(contains(STR(%v), %s))
+ }
+ </index>
+ <modifier>GROUP BY $work</modifier>
+ </db>
+]]>
+ </screen>
+ </para>
+ <para>
+ This returns one row for each work. Titles, authors, and subjects
+ are all optional. If they repeat, the repeated values are concatenated into
+ a single field, separated by semicolons. This is done by the GROUP_DIGEST
+ function that is specific to the Virtuoso back end.
+ </para>
+ <para>
+ This example supports use attributes 4 (title), 1003 (author), 21 (subject),
+ and 1016 (keyword) which matches any literal in a triplet that refers to the
+ work, so it works for the titleValue in the workTitle, as well as the label
+ in the subject, and what ever else there may be. Like the preceding example,
+ the matching is by a simple substring, case sensitive. A more realistic term
+ matching could be done with regular expressions, at the cost of some readability
+ portability, and performance.
+ </para>
+ </refsect1>
+
+ <refsect1><title>EXAMPLE</title>
+ <para>
+ Configuration for database "works". This uses CONSTRUCT to produce rdf.
+ <screen><![CDATA[
+ <db path="works" schema="rdf">
+ <prefix>rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns</prefix>
+ <prefix>bf: http://bibframe.org/vocab/</prefix>
+ <form>CONSTRUCT {
+ ?work bf:title ?wtitle .
+ ?work bf:instanceTitle ?title .
+ ?work bf:author ?creator .
+ ?work bf:subject ?subjectlabel }
+ </form>
+ <criteria>?work a bf:Work</criteria>
+
+ <criteria>?work bf:workTitle ?wt</criteria>
+ <criteria>?wt bf:titleValue ?wtitle</criteria>
+ <index type="4">?wt bf:titleValue %v FILTER(contains(%v, %s))</index>
+ <criteria>?work bf:creator ?creator</criteria>
+ <criteria>?creator bf:label ?creatorlabel</criteria>
+ <index type="1003">?creator bf:label %v FILTER(contains(%v, %s))</index>
+ <criteria>?work bf:subject ?subject</criteria>
+ <criteria>?subject bf:label ?subjectlabel</criteria>
+ <index type="21">?subject bf:label %v FILTER(contains(%v, %s))</index>
+ </db>
+ ]]>
+ </screen>
</para>
</refsect1>
+ <refsect1><title>EXAMPLE</title>
+ <para>
+ Configuration for database "instance". Like "work" above this uses SELECT
+ to return row-based data, this time from the instances. This is not deduplicated,
+ so if an instance has two titles, we get two rows, and if it also has
+ two formats, we get four rows. The DISTINCT in the SELECT
+ <screen><![CDATA[
+ <db path="instance" schema="sparql-results">
+ <prefix>rdf: http://www.w3.org/1999/02/22-rdf-syntax-ns</prefix>
+ <prefix>bf: http://bibframe.org/vocab/</prefix>
+ <form>SELECT DISTINCT ?instance ?title ?format</form>
+ <criteria>?instance a bf:Instance</criteria>
+ <criteria>?instance bf:title ?title</criteria>
+ <index type="4">?instance bf:title %v FILTER(contains(%v, %s))</index>
+ <criteria>?instance bf:format ?format</criteria>
+ <index type="1013">?instance bf:format %s</index>
+ </db>
+ ]]>
+ </screen>
+ </para>
+
+
+ </refsect1>
+
<refsect1><title>SEE ALSO</title>
<para>
<citerefentry>
projects / mp-sparql-moved-to-github.git / blobdiff