HI
Here are the details about my goals.
1. I want to use this lucene for mixed languages.
2. I want to make indexes of the documents which are either english or
danish etc.
I'm attaching my IndexFiles.java file.
When i'm searching i'm giving the index path location as well as doucmets
folder.
HI
Here are the details about my goals.
1. I want to use this lucene for mixed languages.
2. I want to make indexes of the documents which are either english or
danish etc.
I'm attaching my IndexFiles.java file.
When i'm searching i'm giving the index path location as well as doucmets
folder.
Karsten:
Yes, you kinda need that for faceting to work. Take a look at
FacetDataCache class.
-John
On Wed, Apr 22, 2009 at 3:06 AM, Karsten F.
wrote:
>
> Hi Dave,
>
> facets:
> in you case a solution with one
> int[IndexReader.maxDoc()]
> fits. For each document number you can store an inte
Steve, I added a patch in https://issues.apache.org/jira/browse/LUCENE-1608,
which allows to wrap any query in a value source, and then create a value
source query out of it.
Let us know how this works for you...
Doron
On Wed, Apr 22, 2009 at 2:07 AM, Steven Bethard wrote:
> On 4/21/2009 10:09 A
Hi
Am a newbie to Lucene and hence this question about how to implement Ontology
based search using Lucene (LOM).
It would be useful to guide to any useful books, white papers etc. detailing
out the same.
Thanks
R
Hi David,
On 4/22/2009 at 4:15 PM, David Seltzer wrote:
> I have some code that dynamically creates a Boolean query designed to
> work as a filter. After the query runs I end up with this filter.
>
> Filter: QueryWrapperFilter(+(-SourceID:100)
> +spanNear([ArticleContent:nuclear, ArticleContent:p
Hi Everyone,
I have some code that dynamically creates a Boolean query designed to
work as a filter. After the query runs I end up with this filter.
Filter: QueryWrapperFilter(+(-SourceID:100)
+spanNear([ArticleContent:nuclear, ArticleContent:proliferation], 30,
false))
My expectation is that
No, just checking. I will let you everyone know I see one.
Cheers,
Murat
>
> On Apr 21, 2009, at 4:39 AM, Murat Yakici wrote:
>
>> Hi,
>> I started playing with the experimental payload functionality. I
>> have written an analyzer which adds a payload (some sort of a score/
>> boost) for each te
On Apr 21, 2009, at 4:39 AM, Murat Yakici wrote:
Hi,
I started playing with the experimental payload functionality. I
have written an analyzer which adds a payload (some sort of a score/
boost) for each term occurance. The payload/score for each term is
dependent on the document that the t
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The reason I am searching "3 3 2 1" and not "3 2 1" is the reason I asked
the question - it is important to include also these frequencies into
account when generating these scores.
Look at it as if - if a word appears more frequently in a text, is it more
important.
I managed to make the boosting
Hi,
I'm no expert on the subject but it seems like you're searching for one term
that should be "3 3 2 1" (why do you write "3" two times anyway?).
I think you should try a regulalr boolean query where each sub-query is a
BoostingTermQuery on one term only. These queries should be used with
Occur.M
Are you *also* using the DutchAnalyzer for your *query*?
Please show us the index and search code (simplified as much
as possible), then we'll be able to provide better suggestions.
Also, tell us a bit more about your goals here. Is this an
index entirely of Dutch documents? Or is it a mixed-lang
*If* your terms are simple (that is, not wildcarded), you may get
some joy from TermEnum. The idea here would be to find the
longest term *already in your index* that satisfies your need and
use that to form a simple TermQuery
Essentially using TernEnum.skipTo on successively shorter
strings u
Thanks Eran, I tried it, adding the classes I copied below and tried to run
the following
code:
[Also I have below a question about the usage of synonyms and BooleanQuery.]
DoubleMap wordMap = new DoubleMap();
wordMap.insert("1", 1, 5); // for word "1" we have the world 1, 5 times
wordMap.i
Hi Dave,
facets:
in you case a solution with one
int[IndexReader.maxDoc()]
fits. For each document number you can store an integer which represents the
facet value.
This is what org.apache.solr.request.UnInvertedField will store in your
case.
(*John* : is there something similar in com.browseeng
Hello
After I call the SpellChecker.indexDictionary method the directory which
contained the lucene index is locked. I cannot rename of delete the
folder (windows).
In the source of SpellChecker lines 352-353 I see that after the
indexing is done the index is reopened:
searcher.close();
sea
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