Re: Build by program a Dataset that is both textual and spatial

Andy Seaborne Mon, 17 Dec 2018 04:25:21 -0800

[] ja:loadClass...
  Not needed these days. Harmless.




:spatial_dataset rdf:type     spatial:SpatialDataset ;
    rdf:type     text:TextDataset ;
...

Not sure but I think the system will create this twice.

It would be better to have two declarations, one for spatial, one fortext. I'm not sure what happen if they share the same :directory - itmight work, it might not.


    Andy

On 16/12/2018 16:41, Jean-Marc Vanel wrote:

Sorry , I sent a bad link on the list, my assembler file is really this:
https://github.com/jmvanel/semantic_forms/blob/master/scala/jena.spatial%2Btext.assembler.ttl




Le dim. 16 déc. 2018 à 13:40, Marco Neumann <[email protected]> a
écrit :

you are missing the text index in the assembler.

On Sun, Dec 16, 2018 at 12:08 PM Jean-Marc Vanel <[email protected]

wrote:

Yes indeed,
exactly with this assembler file:

https://github.com/jmvanel/semantic_forms/blob/master/scala/jena.spatial.assembler.ttl


And, when the Jena based application is started with this same assembler
file, the spatial queries work , as said above in this thread.


Le dim. 16 déc. 2018 à 12:18, Marco Neumann <[email protected]> a
écrit :

did you create the text index with jena.textindexer
--desc=/<path>/config.ttl?


On Sun, Dec 16, 2018 at 8:48 AM Jean-Marc Vanel <

[email protected]>

wrote:

I fixed a stupid error in text index URI, resulting from pasting, in

new

file jena.spatial+text.assembler.ttl:

https://github.com/jmvanel/semantic_forms/blob/master/scala/jena.spatial%2Btext.assembler.ttl


Now, it reads:
:spatial_dataset rdf:type     spatial:SpatialDataset ;
     rdf:type     text:TextDataset ;
     spatial:dataset   <#dataset> ;
     spatial:index     <#indexLucene> ;
     text:dataset   <#dataset> ;
     text:index    * <#indexLuceneText>* ;
     .

But still it says "Failed to find the text index" .


Le dim. 16 déc. 2018 à 09:34, Jean-Marc Vanel <

[email protected]>

écrit :

So I tried a new  file jena.spatial+text.assembler.ttl with

separate

Lucene indices for spatial and text:

https://github.com/jmvanel/semantic_forms/blob/master/scala/jena.spatial%2Btext.assembler.ttl


It defines a Dataset with both Dataset types and both Lucene

indices:


:spatial_dataset rdf:type     spatial:SpatialDataset ;
     rdf:type     text:TextDataset ;
     spatial:dataset   <#dataset> ;
     spatial:index     <#indexLucene> ;
     text:dataset   <#dataset> ;
     text:index     <#indexLucene> ;
     .

Alas , when querying , it says "Failed to find the text index" :

WARN  org.apache.jena.query.text.TextQueryPF - Failed to find the

text

index : tried context and as a text-enabled dataset
WARN  org.apache.jena.query.text.TextQueryPF - No text index - no

text

search performed

Is it because rdf:type spatial:SpatialDataset is asserted first in
assembler file?
So, defining a hybrid Dataset does not work anymore by TTL

specification

than by JVM code specification.
I definitely need more experts' advice .



Le sam. 15 déc. 2018 à 21:10, ajs6f <[email protected]> a écrit :

On Dec 15, 2018, at 9:59 AM, Marco Neumann <

[email protected]

wrote:

*Question*: does that make sense to have a unique Lucene index

for

text and

space ?
It is possible at all? If yes, is it good in terms of disk

space

and

performance?
Like this:
<#indexLucene> a text:TextIndexLucene ;
               a spatial:SpatialIndexLucene ;
               # etc ...


I'm sure that would be ideal for many cases, but I'm not at all

sure

that

the same index can answer queries of both kinds. Perhaps we can

combine

fields from both, but are the relationships between tuple and

index

record

the same in both cases?

Otherwise, I know we had a conversation at some point in the past

on

one

of the lists about trying to factor out commonalities between

jena-spatial

and jena-text, but it didn't go very far at that time and I don't

know

what

the intervening years have done to make it more or less feasible.

There

have been many changes to jena-text in that time and the new

spatial

module

is a whole new story. I'd put a link here but searching

lists.apache.org

hasn't brought it up for me.

ajs6f


--
Jean-Marc Vanel

http://www.semantic-forms.cc:9111/display?displayuri=http://jmvanel.free.fr/jmv.rdf%23me#subject

http://www.semantic-forms.cc:9111/display?displayuri=http://jmvanel.free.fr/jmv.rdf%23me


Rule-based programming, Semantic Web
+33 (0)6 89 16 29 52
Twitter: @jmvanel , @jmvanel_fr ; chat: irc://

irc.freenode.net#eulergui

  Chroniques jardin
<

http://semantic-forms.cc:1952/backlinks?q=http%3A%2F%2Fdbpedia.org%2Fresource%2FChronicle



--
Jean-Marc Vanel

http://www.semantic-forms.cc:9111/display?displayuri=http://jmvanel.free.fr/jmv.rdf%23me#subject

http://www.semantic-forms.cc:9111/display?displayuri=http://jmvanel.free.fr/jmv.rdf%23me

Rule-based programming, Semantic Web
+33 (0)6 89 16 29 52
Twitter: @jmvanel , @jmvanel_fr ; chat: irc://

irc.freenode.net#eulergui

  Chroniques jardin
<

http://semantic-forms.cc:1952/backlinks?q=http%3A%2F%2Fdbpedia.org%2Fresource%2FChronicle



--


---
Marco Neumann
KONA



--
Jean-Marc Vanel

http://www.semantic-forms.cc:9111/display?displayuri=http://jmvanel.free.fr/jmv.rdf%23me#subject

http://www.semantic-forms.cc:9111/display?displayuri=http://jmvanel.free.fr/jmv.rdf%23me

Rule-based programming, Semantic Web
+33 (0)6 89 16 29 52
Twitter: @jmvanel , @jmvanel_fr ; chat: irc://irc.freenode.net#eulergui
  Chroniques jardin
<

http://semantic-forms.cc:1952/backlinks?q=http%3A%2F%2Fdbpedia.org%2Fresource%2FChronicle



--


---
Marco Neumann
KONA

Re: Build by program a Dataset that is both textual and spatial

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