Philipp,
I'm not completely sure what is going on but this:
>> java -cp fuseki-server.jar tdb.tdbquery --time --tdb=config.ttl
--query=query.txt
will not work because tdbquery looks for a TDB dataset so it will find
<#dataset>.
What I don't know is how to use general command line tools to pick out
the right dataset from the configuration where there are two. Someon
else may have a trick to do this.
Fuseki will pick the right one when you point the service to text dataset.
A small Java program can use
AssemblerUtils.build(String assemblerFile, Resource type)
to pick the right dataset.
Andy
On 19/04/17 19:57, Philipp Poschmann wrote:
Dear all,
I am sorry for my incompetence but I have a problem with indexing labels using
Apache Jena. I have already checked several posts about this topic but can’t
find my error. Is there anyone who could help me please?
My text-config.ttl file looks like this:
@prefix : <http://localhost/jena_example/#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix tdb: <http://jena.hpl.hp.com/2008/tdb#> .
@prefix ja: <http://jena.hpl.hp.com/2005/11/Assembler#> .
@prefix text: <http://jena.apache.org/text#> .
# TDB
[] ja:loadClass "org.apache.jena.tdb.TDB" .
tdb:DatasetTDB rdfs:subClassOf ja:RDFDataset .
tdb:GraphTDB rdfs:subClassOf ja:Model .
# Text
[] ja:loadClass "org.apache.jena.query.text.TextQuery" .
text:TextDataset rdfs:subClassOf ja:RDFDataset .
text:TextIndexLucene rdfs:subClassOf text:TextIndex .
## ---------------------------------------------------------------
## This URI must be fixed - it's used to assemble the text dataset.
:text_dataset rdf:type text:TextDataset ;
text:dataset <#dataset> ;
text:index <#indexLucene> ;
.
<#dataset> rdf:type tdb:DatasetTDB ;
tdb:location "storage" ;
## In the example, this would hide the real default graph.
# tdb:unionDefaultGraph true ;
.
<#indexLucene> a text:TextIndexLucene ;
#text:directory <file:Lucene> ;
text:directory <file:storage> ;
text:entityMap <#entMap> ;
.
<#entMap> a text:EntityMap ;
text:entityField "uri" ;
text:defaultField "text" ; ## Must be defined in the text:maps
text:map (
# rdfs:label
[ text:field "text" ; text:predicate rdfs:label ]
) .
I have a dataset file from dbpedia with some labels that I load and index with
these commands:
java -cp fuseki-server.jar tdb.tdbloader --tdb=config.ttl
infobox_property_definitions_en.ttl
java -cp fuseki-server.jar jena.textindexer --desc=config.ttl
To test for the indexed labels I tried the following query:
PREFIX text: <http://jena.apache.org/text#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT *
{ ?s text:query (rdfs:label "Stage") ;
rdfs:label ?label
}
LIMIT 10
With this command:
java -cp fuseki-server.jar tdb.tdbquery --time --tdb=config.ttl
--query=query.txt
However, I just get the following results:
WARN Failed to find the text index : tried context and as a text-enabled
dataset
WARN No text index - no text search performed
----------------------------------------------------------
| s | label |
==========================================================
| <http://dbpedia.org/property/colwidth> | "colwidth"@en |
| <http://dbpedia.org/property/voy> | "voy"@en |
| <http://dbpedia.org/property/n> | "n"@en |
| <http://dbpedia.org/property/v> | "v"@en |
| <http://dbpedia.org/property/b> | "b"@en |
| <http://dbpedia.org/property/s> | "s"@en |
| <http://dbpedia.org/property/d> | "d"@en |
| <http://dbpedia.org/property/name> | "Name"@en |
| <http://dbpedia.org/property/alt> | "Alt"@en |
| <http://dbpedia.org/property/caption> | "Caption"@en |
----------------------------------------------------------
Time: 0,065 sec
Obviously, these are not the desired results and the script has a problem
finding the text index. Just for clarification: I have decided to use a TDB
backed solution because my aim is to reproduce some dbpedia data locally but
without in-memory load. Actually, my intention is not to use the Fuseki Server
but it seems that it is the only solution to use text indexing.
Thank you very much for your help.
Best regards
Philipp
