blob: 735ce8bee78ff5807753e8341284663b54ae60b1 [file] [log] [blame]
% layout 'main', title => 'KorAP: FCSQL';
%= page_title
<p>FCS-QL is a query language specifically developed to accomodate advanced search in
<%= ext_link_to 'Clarin Federated Content Search (FCS)', "https://www.clarin.eu/content/federated-content-search-clarin-fcs" %>,
that allows searching through annotated data.
Accordingly, FCS-QL is primarily intended to represent queries involving annotation layers
such as part-of-speech and lemma. FCS-QL grammar is fairly similar to <%= embedded_link_to 'doc', 'Poliqarp', 'ql', 'poliqarp-plus' %> since it was
built heavily based on Poliqarp/CQP.</p>
<p>In FCS-QL, foundries are called qualifiers. A combination of a foundry and a layer is
separated with a colon, for example the lemma layer of Tree Tagger is represented as
<code>tt:lemma</code>. KorAP supports the following annotation layers for FCS-QL:</p>
<dl>
<dt>text</dt>
<dd>surface text</dd>
<dt>lemma</dt>
<dd>lemmatisation</dd>
<dt>pos</dt>
<dd>part-of-speech</dd>
</dl>
<section id="simple-queries">
<h3>Simple queries</h3>
<p>Querying simple terms</p>
%= doc_query fcsql => '"Semmel"', cutoff => 1
<p>Querying regular expressions</p>
%= doc_query fcsql => '"gie(ss|ß)en"', cutoff => 1
<p>Querying case-insensitive terms</p>
%= doc_query fcsql => '"essen"/c', cutoff => 1
</section>
<section id="complex-queries">
<h3>Complex queries</h3>
<h4>Querying using layers</h4>
<p>Querying a simple term using the layer for surface text</p>
%= doc_query fcsql => '[text = "Semmel"]', cutoff => 1
%= doc_query fcsql => '[text = "essen"/c]', cutoff => 1
<p>Querying adverbs from the <%= embedded_link_to 'doc', 'default foundry', 'data', 'annotation' %>.</p>
%= doc_query fcsql => '[pos="ADV"]', cutoff => 1
<h4>Querying using qualifiers (foundries)</h4>
<p>Querying adverbs annotated by Opennlp</p>
%= doc_query fcsql => '[opennlp:pos="ADV"]', cutoff => 1
<p>Querying tokens with a lemma from Tree tagger</p>
%= doc_query fcsql => '[tt:lemma = "leben"]', cutoff => 1
<h4>Querying using boolean operators</h4>
<p>All tokens with lemma <code>&quot;leben&quot;</code> which are also finite verbs</p>
%= doc_query fcsql => '[tt:lemma ="leben" & pos="VVFIN"]', cutoff => 1
<p>All tokens with lemma <code>&quot;leben&quot;</code> which are also finite verbs or perfect participle</p>
%= doc_query fcsql => '[tt:lemma ="leben" & (pos="VVFIN" | pos="VVPP")]', cutoff => 1
<h4>Sequence queries</h4>
<p>Combining two terms in a sequence query</p>
%= doc_query fcsql => '[opennlp:pos="ADJA"] "leben"', cutoff => 1
<h4>Empty token</h4>
<p>Like in <%= embedded_link_to 'doc', 'Poliqarp', 'ql', 'poliqarp-plus' %>, an empty token is signified by <code>[]</code>
which means any token. Due to the
excessive number of results, empty token is not allowed to be used independently, but in
combination with other tokens, for instance in a sequence query.</p>
%= doc_query fcsql => '[] "Wolke"', cutoff => 1
<h4>Negation</h4>
<p>Similar to empty token, negation is not allowed to be used independently due to the
excessive number of results. However, it can be used in a sequence query.</p>
%= doc_query fcsql => '[pos != "ADJA"] "Buch"', cutoff => 1
<h4>Querying using quantifier</h4>
<p>Quantifiers indicate repetition of a term, for instance it can be used to search for
exactly two consecutive occurrences of <code>&quot;die&quot;</code>.</p>
%= doc_query fcsql => '"die" {2}', cutoff => 1
<p>Quantifiers are also useful to search for the occurrences of any tokens near other
specific tokens, for instance two to three occurrences of any token between <code>&quot;wir&quot;</code> and
<code>&quot;leben&quot;</code>.</p>
%= doc_query fcsql => '"wir" []{2,3} "leben"', cutoff => 1
<h4>Querying a term within a sentence</h4>
%= doc_query fcsql => '"Boot" within s', cutoff => 1
</section>