Applications of Multimodal Knowledge Graphs in Modeling Multimedia
Florian Ruosch, Luca Rossetto
Lecture notes in computer science
Problems Identified (4)
multimedia modeling and querying challenge: Effectively modeling and querying the rapidly growing collection of multimedia is a significant challenge.
opaque multimedia representation: Existing approaches often treat multimedia documents as opaque entities, limiting their analytical potential.
multimedia modeling and querying challenge: Effectively modeling and querying the rapidly growing collection of multimedia is a significant challenge.
opaque multimedia representation: Existing approaches often treat multimedia documents as opaque entities, limiting their analytical potential.
Proposed Solutions (4)
multimodal knowledge graphs: Multimodal knowledge graphs are presented as a way to model multimedia by integrating heterogeneous data sources and uncovering complex relationships.
MeGraS multimodal knowledge graph store: MeGraS is introduced as a multimodal knowledge graph store that provides direct access to multimedia document content.
multimodal knowledge graphs: Multimodal knowledge graphs are presented as a way to model multimedia by integrating heterogeneous data sources and uncovering complex relationships.
MeGraS multimodal knowledge graph store: MeGraS is introduced as a multimodal knowledge graph store that provides direct access to multimedia document content.
Results (3)
application coverage:
deeper flexible multimedia analysis:
direct multimedia content processing potential:
Research Domain
Multimodal knowledge graphs for multimedia modeling and querying