With the introduction of deep learning models, semantic parsingbased
kno...
The proliferation of RDF datasets has resulted in studies focusing on
op...
Social media offers a unique lens to observe users emotions and subjecti...
Extracting precise geographical information from textual contents is cru...
Semantic Web technology has successfully facilitated many RDF models wit...
We design a user-friendly and scalable knowledge graph construction (KGC...
Semantic parsing solves knowledge base (KB) question answering (KBQA) by...
The rapid development of remote sensing techniques provides rich,
large-...
Knowledge graph models world knowledge as concepts, entities, and the
re...
Subgraph isomorphism is a well-known NP-hard problem that is widely used...
Partial evaluation has recently been used for processing SPARQL queries ...
A streaming graph is a graph formed by a sequence of incoming edges with...
A graph stream is a continuous sequence of data items, in which each ite...
Resource Description Framework (RDF) has been widely used to represent
i...
The growing popularity of dynamic applications such as social networks
p...