SEARCH ARCHITECTURE FOR REPOSITORY OF LEARNING OBJECTS
DOI:
https://doi.org/10.36825/RITI.01.02.001Keywords:
ROA, SOLR, XML, IndexingAbstract
With the emergence of Repositories of Learning Objects, and for a more efficient use of them, different search engines have been developed that allow users to easily and effectively find the materials they need. There are many engines that are based on keywords, but these limit the search area, some based on ontologies and others like the one used, based on the metadata that describe learning objects. A very powerful engine is SOLR, this is based on the LUCENE library, which runs as a Web application in Java, allowing documents to be sent to be indexed via HTTP and consulted using HTTP GET requests. The experiments carried out with the tool implemented based on this engine demonstrate the efficiency and quality of the results with respect to the other engines.
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