Solr has been widely adopted in the Enterprise because it offers powerful full-text search, hit highlighting, faceted search, dynamic clustering, fuzzy search, stemming, ranking, database integration, and rich document (e.g., Word, PDF) handling and much more.
Despite Solr's many capabilities the product does not include the ability to perform semantic search in your files. For example, it does not let you perform queries or reasoning over the objects that are discovered in a document via Entity Extraction. For that you need to marry Solr with an RDF Database to create intelligent text documents. Several of our SemTech customer projects have found this augmentation of Solr with RDF to be a key feature for creating unique capabilities within their product offering.
In our webcast we'll show you some demos of applications that use Solr and an RDF Database to reason over text objects. We'll also provide a short tutorial on how to keep Solr in sync with the RDF Database.
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