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Found 23 papers, 5 papers with code
ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio
In this paper, we introduce ChordSync, a novel conformer-based model designed to seamlessly align chord annotations with audio, eliminating the need for weak alignment.
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
In the contemporary world of AI and data-driven applications, supervised machines often derive their understanding, which they mimic and reproduce, through annotations--typically conveyed in the form of words or labels.
Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification
In this work, we leverage situated perceptual knowledge of cultural images to enhance performance and interpretability in AC image classification.
Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations
This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning.
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 knowledge discovery.
Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories
The field of Computer Vision (CV) is increasingly shifting towards ``high-level'' visual sensemaking tasks, yet the exact nature of these tasks remains unclear and tacit.
The Music Annotation Pattern
The annotation of music content is a complex process to represent due to its inherent multifaceted, subjectivity, and interdisciplinary nature.
Pitchclass2vec: Symbolic Music Structure Segmentation with Chord Embeddings
Structure perception is a fundamental aspect of music cognition in humans.
Automatic Modeling of Social Concepts Evoked by Art Images as Multimodal Frames
Social concepts referring to non-physical objects--such as revolution, violence, or friendship--are powerful tools to describe, index, and query the content of visual data, including ever-growing collections of art images from the Cultural Heritage (CH) field.
Pattern-based Visualization of Knowledge Graphs
We present a novel approach to knowledge graph visualization based on ontology design patterns.
Extraction of common conceptual components from multiple ontologies
Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks.
An Ontology Design Pattern for representing Recurrent Situations
In this paper, we present an Ontology Design Pattern for representing situations that recur at regular periods and share some invariant factors, which unify them conceptually: we refer to this set of recurring situations as recurrent situation series.
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Although linked open data (LOD) is one knowledge graph, it is the closest realisation (and probably the only one) to a public FAIR Knowledge Graph (KG) of everything.
The Landscape of Ontology Reuse Approaches
Ontology reuse aims to foster interoperability and facilitate knowledge reuse.
A Reference Software Architecture for Social Robots
The ultimate goal of this work is to establish a common ground based on a reference software architecture to allow to easily reuse robotic software components in order to rapidly develop, implement, and personalise Social Robots.
Using altmetrics for detecting impactful research in quasi-zero-day time-windows: the case of COVID-19
This sample is used for building a knowledge graph that represents the knowledge about papers and indicators formally.
Digital Libraries Social and Information Networks
Pattern-based design applied to cultural heritage knowledge graphs
This paper presents ArCo and describes how to apply XD to the development and validation of a CH knowledge graph, also detailing the (intellectual) process implemented for matching the encountered modelling problems to ODPs.
SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems
The SQuAP model (Software Quality, Architecture, Process) describes twenty-eight main factors that impact on software quality in banking systems, and each factor is described as a relation among some characteristics from the three ISO standards.
Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked
This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data.
ArCo: the Italian Cultural Heritage Knowledge Graph
ArCo is the Italian Cultural Heritage knowledge graph, consisting of a network of seven vocabularies and 169 million triples about 820 thousand cultural entities.
Semantic Role Labeling for Knowledge Graph Extraction from Text
This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a frame-oriented knowledge graph.
Amnestic Forgery: an Ontology of Conceptual Metaphors
This paper presents Amnestic Forgery, an ontology for metaphor semantics, based on MetaNet, which is inspired by the theory of Conceptual Metaphor.
Empirical Analysis of Foundational Distinctions in Linked Open Data
For example, distinctions such as whether an entity is inherently a class or an individual, or whether it is a physical object or not, are hardly expressed in the data, although they have been largely studied and formalised by foundational ontologies (e. g. DOLCE, SUMO).
