3 citations · 5 across the 11 of their papers we have counts for
11 papers
Preserving contextual information in cultural heritage metadata through multidimensional knowledge graphs
Lyndon Nixon, Valentina Presutti, Celian Ringwald +1
Using Knowledge Graphs (KGs) to describe Cultural Heritage Objects (CHOs) supports semantic richness and interoperability. However, standard KGs fail to capture the context-depende…
The Multilingual FrameNet Corpus
Beatrice Fiumanò, Nicolas Lazzari, Simone Paolo Ponzetto +1
This paper introduces the Multilingual FrameNet Corpus (mFNC), a novel resource that extends the English Berkeley FrameNet corpus by collecting and harmonizing existing language-sp…
To Neuro-Symbolic Classification and Beyond by Compiling Description Logic Ontologies to Probabilistic Circuits
Nicolas Lazzari, Valentina Presutti, Antonio Vergari
Background: Neuro-symbolic methods enhance the reliability of neural network classifiers through logical constraints, but they lack native support for ontologies. Objectives: We ai…
Musical Heritage Historical Entity Linking
Arianna Graciotti, Nicolas Lazzari, Valentina Presutti +1
Linking named entities occurring in text to their corresponding entity in a Knowledge Base (KB) is challenging, especially when dealing with historical texts. In this work, we intr…
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…
ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio
Andrea Poltronieri, Valentina Presutti, Martín Rocamora
In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retriev…
Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
Delfina Sol Martinez Pandiani, Valentina Presutti
In the contemporary world of AI and data-driven applications, supervised machines often derive their understanding, which they mimic and reproduce, through annotations--typically c…
Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations
Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi +1
This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning. Sandra builds a vector space constrained by an ontology and perf…
Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification
Delfina Sol Martinez Pandiani, Nicolas Lazzari, Valentina Presutti
The increasing demand for automatic high-level image understanding, particularly in detecting abstract concepts (AC) within images, underscores the necessity for innovative and mor…
The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata
Jacopo de Berardinis, Valentina Anita Carriero, Albert Meroño-Peñuela +2
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 knowl…
Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories
Delfina Sol Martinez Pandiani, Valentina Presutti
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. This surv…