Next todos :

• use of ontocat to populate a search index (using 'also known as/synonyms', 'subclasses', 'part of'd2rq and sparql to query between MOLGENIS systems
  • retrieve ontocat results and use Lucene to create an index on them.
    • Call ontocat and retrieve data .
      • How that will be done? ontocat provides some functions that retrieves from two major available public ontology repositories : the EBI Ontology Lookup Service (OLS) (Ct et al., 2008) and the NCBO BioPortal?.
      • Do we need new functions on Ontocat for retrieving ? can the index be build on one single keyword?? on multiple ? These function take as argument a keyword and return the results . How the index will be build. ?
        • let's see some examples : ​http://code.google.com/apis/searchappliance/documentation/60/QuickStart/quick_start_crawl.html
          • lucene specific : ​http://www.anyang-window.com.cn/tag/lucene/page/2/ (this has some nice images of how architecture is )
          • ​LuSql is a simple but powerful tool for building ​Lucene indexes from relational databases.
          • other using lucene :
            • ​http://www.opensymphony.com/compass/versions/1.2M3/html/core-searchengine.html
            • ​http://www.ibm.com/developerworks/web/library/wa-lucene2/
            • Lucene suppors [ Fuzzy search --]
            • Parsing, indexing, and searching XML : ​http://www.ibm.com/developerworks/web/library/j-lucene/
              • So we can return xml from ontocat and create an index on them,or do similar with json.
• Ontocat included in LuceneSearchPlugin? : buildIndexOntocat() - TODO :  test results !