Thanks for pointing me to the lucene-join module. 
Does the ToParentBlockJoinQuery produce the scores in a more sophisticated way 
than the ScoreMode enum suggests?
Actually finding the related entities is not my problem, I am only having 
trouble to produce scores consistent with the overall content of an article. 

Thanks,

Manuel



On 07.11.2013, at 12:08, Michael McCandless <luc...@mikemccandless.com> wrote:

> Maybe the join module fits here?  For example you can join "up" to a
> single parent from multiple child hits.  I described one of the
> options (now called ToParentBlockJoinQuery) here:
> http://blog.mikemccandless.com/2012/01/searching-relational-content-with.html
> but there is also query-time joining now as well, which Martijn
> described here:
> http://blog.trifork.com/2012/01/22/query-time-joining-in-lucene/
> 
> Mike McCandless
> 
> http://blog.mikemccandless.com
> 
> 
> On Thu, Nov 7, 2013 at 5:59 AM, Manuel Amoabeng <mamoab...@vjoon.com> wrote:
>> Hello everybody,
>> 
>> 
>> I am currently working on an index where the documents only represent parts 
>> of the entities that should be searchable:
>> We have text objects indexed as independent documents but actually want to 
>> find articles the text objects are placed on. We also need to provide an 
>> indication of the relevance of the matched articles.
>> In this scenario the way the content of an article is distributed in text 
>> objects will determine how many hits representing the article are present in 
>> TopDocs.scoreDocs and what score they carry.
>> 
>> Is there are a way to aggregate the scores for logically connected ScoreDocs 
>> so that the result would be similar to the score a single document 
>> containing all matched content would have gotten?
>> 
>> 
>> Thanks and best regards,
>> 
>> Manuel
>> 
>> 
>> 
>> 
>> 
> 
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