from file name <inputtype="radio"name="discovermethod"value="path"disabled="disabled"onclick="document.getElementById('discoverobjectspace').disabled=''"/><br/>
from page title <inputtype="radio"name="discovermethod"value="title"disabled="disabled"onclick="document.getElementById('discoverobjectspace').disabled=''"/><br/>
from page title (splitted) <inputtype="radio"name="discovermethod"value="titlesplitted"disabled="disabled"onclick="document.getElementById('discoverobjectspace').disabled=''"/><br/>
from page author <inputtype="radio"name="discovermethod"value="author"disabled="disabled"onclick="document.getElementById('discoverobjectspace').disabled=''"/></dt>
<dd>It is possible to produce a vocabulary out of the existing search index. This is done using a given 'objectspace' which you can enter as a URL Stub.
This stub is used to find all matching URLs. If the remaining path from the matching URLs then denotes a single file, the file name is used as vocabulary term.
This works best with wikis. Try to use a wiki url as objectspace path.</dd>
<dt>Import from a csv file <inputtype="radio"name="discovermethod"value="csv"disabled="disabled"onclick="document.getElementById('discoverpath').disabled='';document.getElementById('discoverLineStart').disabled='';document.getElementById('discovercolumnliteral').disabled='';document.getElementById('discovercolumnsynonyms').disabled='';document.getElementById('discovercolumnobjectlink').disabled='';document.getElementById('discoverCharset').disabled='';document.getElementById('discoverColSeparator').disabled='';"/></dt>
<dd><inputtype="number"id="discoverLineStart"name="discoverLineStart"min="0"max="99"step="1"size="2"value="0"disabled="disabled"style="width:50px;"> (first has index 0)</dd>
<dd><inputtype="number"id="discovercolumnliteral"name="discovercolumnliteral"min="0"max="99"step="1"size="2"value="0"disabled="disabled"style="width:50px;"> (first has index 0)</dd>
<inputtype="radio"name="discoversynonymsmethod"id="discoversynonymsmethod"value="enrichsynonyms"/><i>Auto-Enrich with Synonyms from Stemming Library</i><br/>
<inputtype="number"id="discovercolumnsynonyms"name="discovercolumnsynonyms"min="-1"max="99"step="1"size="2"value="-1"disabled="disabled"style="width:50px;"> (first has index 0)
<dd><inputtype="number"id="discovercolumnobjectlink"name="discovercolumnobjectlink"min="-1"max="99"step="1"size="2"value="-1"disabled="disabled"style="width:50px;"> (first has index 0, if unused set -1)</dd>
<dt>Objectspace</dt><dd>#(editable)##[objectspace]#::<inputtype="text"name="objectspace"value="#[objectspace]#"size="78"maxlength="128"/><br/>if set, uses the predicate <ahref="#[objectspacepredicate]#"target="_blank">#[objectspacepredicate]#</a> for generated objects. Hint: use 'http://dbpedia.org/resource/' as default.#(/editable)#</dd>
<dt>Is Facet?</dt><dd><inputtype="checkbox"name="isFacet"#(isFacet)#::checked="checked"#(/isFacet)#/> (If checked, this vocabulary is used for search facets. Not feasible for large vocabularies!)</dd>
<inputtype="radio"name="vocabularies.matchLinkedData"value="true"#(vocabularies.matchLinkedData)#::checked="checked"#(/vocabularies.matchLinkedData)#/>Linked data/Semantic web annotations
<tdcolspan="2"align="right"class="TableCellSummary"><inputtype="checkbox"name="clear_table"id="clear_table"value="checked"/><i>clear table (remove all terms)</i></td>