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The polifonia ontology network: Building a semantic backbone for musical heritage
In the music domain, several ontologies have been proposed to annotate musical data, in
both symbolic and audio form, and generate semantically rich Music Knowledge Graphs …
both symbolic and audio form, and generate semantically rich Music Knowledge Graphs …
When in Rome: a meta-corpus of functional harmony
'When in Rome'brings together all human-made, computer-encoded, functional harmonic
analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The …
analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The …
The harmonic memory: a knowledge graph of harmonic patterns as a trustworthy framework for computational creativity
Computationally creative systems for music have recently achieved impressive results,
fuelled by progress in generative machine learning. However, black-box approaches have …
fuelled by progress in generative machine learning. However, black-box approaches have …
[HTML][HTML] KG. GOV: Knowledge graphs as the backbone of data governance in AI
Abstract As (generative) Artificial Intelligence continues to evolve, so do the challenges
associated with governing the data that powers it. Ensuring data quality, privacy, security …
associated with governing the data that powers it. Ensuring data quality, privacy, security …
Knowledge Prompting: How Knowledge Engineers Use Large Language Models
E Koutsiana, J Walker, M Nwachukwu… - ar** up with evolving domain …
The promise and challenge of large language models for knowledge engineering: Insights from a hackathon
Knowledge engineering (KE) is the process of building, maintaining and using knowledge-
based systems. This recently takes the form of knowledge graphs (KGs). The advent of new …
based systems. This recently takes the form of knowledge graphs (KGs). The advent of new …
The music meta ontology: a flexible semantic model for the interoperability of music metadata
The semantic description of music metadata is a key requirement for the creation of music
datasets that can be aligned, integrated, and accessed for information retrieval and …
datasets that can be aligned, integrated, and accessed for information retrieval and …
Pitchclass2vec: Symbolic music structure segmentation with chord embeddings
Structure perception is a fundamental aspect of music cognition in humans. Historically, the
hierarchical organization of music into structures served as a narrative device for conveying …
hierarchical organization of music into structures served as a narrative device for conveying …
KG. gov: Knowledge Graphs as the Backbone of Data Governance in AI
Abstract As (generative) Artificial Intelligence continues to evolve, so do the challenges
associated with governing the data that powers it. Ensuring data quality, privacy, security …
associated with governing the data that powers it. Ensuring data quality, privacy, security …
Annotating Jazz Recordings Using Lead Sheet Alignment with Deep Chroma Features
The automatic recognition of chords from jazz recordings remains largely an unsolved
challenge, due to the broad harmonic vocabulary, the freedom of interpretation in …
challenge, due to the broad harmonic vocabulary, the freedom of interpretation in …