Introducing MelodicMind: Merging AI, Music, and the Semantic Web

Dear Semantic Web enthusiasts,

We're thrilled to introduce you to the initial phase of our pioneering open-source project: MelodicMind. Nestled at the intersection of artificial intelligence, musical artistry, and knowledge representation, MelodicMind aspires to decipher the nuances of jazz improvisation by delving into the distinctive styles of iconic musicians.

Central to MelodicMind's methodology is the integration of ontologies, particularly one centered on music theory. In tandem with this, we utilize neural network-driven embeddings, meticulously crafted to encapsulate and emulate the stylistic intricacies of jazz improvisers as they weave melodies over specific chord progressions. Merging these embeddings with ontological categories, we pave the way for AI to intuitively navigate the rich tapestry of musical improvisation.

Join us for an initial exploration of the foundational components of our proposed approach. This kickoff presentation provides a glimpse into the convergence of knowledge engineering and artificial intelligence in the realm of music. As we embark on this journey, we warmly welcome insights, feedback, and active participation from the community.