Knowledge Enrichment of Documents using Topic Distributions and RDF Triple Structures
- Masterarbeit -
We are developing a model which performs knowledge extraction of structured RDF data by focusing on type information and documents’ topic distribution. Our goal is to enrich a new document with semantic data by searching for documents dealing with similar topics or having similar type information (e.g. ontology knowledge). We want to prove if there is any kind of context between type information of a document and its topic distribution, respectively which dependencies we have to assume for our data set to define such a context.
- RDF Graphs
- Topic Modeling, LDA