natural language parser allows for the creation of the sentence tree object
which is processed for triplet formation.
WordNet Knowledge Base
The WordNet knowledge
base gives our system a grasp of the structure of language and can be
loaded through the use of Sesame.
TAP Knowledge Base
The TAP knowledge
base lends our system an understanding of real world entities, loaded
through the use of Sesame.
Sesame provides the
semantic storage and retrieval backend for our program.
Save WordNet and TAP
information files to directories named WordNet and TAP respectively. Then run InitializeRepository.java
to create indexed and Sesame usable versions of all knowledge base files.
Sentences can then
be parsed into triplet form using the examples present in SentenceParser.java’s
can be stored and aggregated using DocumentDataAggregation.java,
this method saves information from text into the Sesame store.
Information can then
be pulled from the Sesame store using TermStoreInfoExtractor.java