Semantic Indexing of Documents - Gnorion/BizVR GitHub Wiki
Semantic Indexing of Documents
Information extractors locate and extract meaningful information from unstructured documents. The ability to search for documents based on this extracted information is a significant improvement over the keyword-based searches supported by the full-text search engines.
Semantic indexing for documents introduces an index type that can make use of information extractors and annotators to semantically index documents stored in relational tables. Documents indexed semantically can be searched using SEM_CONTAINS operator within a standard SQL query. The search criteria for these documents are expressed using SPARQL query patterns that operate on the information extracted from the documents, as in the following example.
https://docs.oracle.com/cd/E11882_01/appdev.112/e25609/indexing_for_docs.htm#RDFRM99921
