… -structured graph data, such as RDF, has been less explored. We present a framework for
applying topic modeling to RDF graph … Since topic modeling builds abstract topics using the co-…

… graphs visualization.” As we have seen in this section, semantic graphs such as Topic Maps,
RDF graphs, … ing relevant information within a Topic Map or an RDF graph, or within an on…

… Our goal is to map the Topic Map graph representation onto an RDF graph representation
… R in RDF. We map the Topic Map graph to an RDF graph by first mapping the graph nodes …

… This is the case for the role label of an association member arc in a Topic Map graph. In
the RDF graph we … We perform a graph transformation to generate an RDF graph from the …

… adapt these models for the RDF graph, by considering entities and relations between them
instead of word sequences. The second goal is to train the neural network models with those …

… To incorporate both the textual information and the semantic graph into the topic model, we
define … In our example, an edge labelled with rdf:type will accordingly get a weight W which is …

… knowledge from RDF datasets. We propose a probabilistic topic model using Latent Dirichlet
… define how to utilize topic models for RDF graphs. Then, we formally introduce our ES-LDA …

… , the standard topic models cannot be directly applied to graph… In this paper, an innovative
graph topic model (GTM) is … distributions to model the edges between nodes in a graph. It …

… this, we derive RDF bipartite graphs as an intermediate graph-based model for RDF. This …
a directed labeled graph representation. The thesis furthermore investigates some issues of …

… and topic modeling to model RDF data for the entity summarization task. In our model, ES-…
generative model for modeling entities in RDF graphs (Figure 1). The key ideas behind our …