Semantic Communication with Conceptual Spaces
Dylan Wheeler, Erin E. Tripp, Balasubramaniam Natarajan

TL;DR
This paper proposes a new semantic communication framework using conceptual spaces and functional compression, achieving significant data rate reduction in image semantics transmission.
Contribution
It introduces a novel semantic communication model based on conceptual spaces and demonstrates its effectiveness through simulations.
Findings
Achieved 99.79% reduction in communication rate for image semantics
Proposed a model that transitions communication from technical to semantic level
Demonstrated the potential of conceptual spaces in semantic communication
Abstract
Despite the fact that Shannon and Weaver's Mathematical Theory of Communication was published over 70 years ago, all communication systems continue to operate at the first of three levels defined in this theory: the technical level. In this letter, we argue that a transition to the semantic level embodies a natural, important step in the evolution of communication technologies. Furthermore, we propose a novel approach to engineering semantic communication using conceptual spaces and functional compression. We introduce a model of semantic communication utilizing this approach, and simulate communication of image semantics demonstrating a 99.79% reduction in rate.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCognitive Computing and Networks · Cognitive Science and Education Research · Semantic Web and Ontologies
