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  1. Article

    Open Access

    Diversity and language technology: how language modeling bias causes epistemic injustice

    It is well known that AI-based language technology—large language models, machine translation systems, multilingual dictionaries, and corpora—is currently limited to three percent of the world’s most widely sp...

    Paula Helm, Gábor Bella, Gertraud Koch in Ethics and Information Technology (2024)

  2. No Access

    Chapter and Conference Paper

    From Knowledge Representation to Knowledge Organization and Back

    Knowledge Representation (KR) and facet-analytical Knowledge Organization (KO) have been the two most prominent methodologies of data and knowledge modelling in the Artificial Intelligence community and the In...

    Fausto Giunchiglia, Mayukh Bagchi in Wisdom, Well-Being, Win-Win (2024)

  3. Article

    Open Access

    Adaptation of student behavioural routines during Covid-19: a multimodal approach

    One population group that had to significantly adapt and change their behaviour during the COVID-19 pandemic is students. While previous studies have extensively investigated the impact of the pandemic on thei...

    Nicolò Alessandro Girardini, Simone Centellegher, Andrea Passerini in EPJ Data Science (2023)

  4. Article

    Open Access

    Representing interlingual meaning in lexical databases

    In today’s multilingual lexical databases, the majority of the world’s languages are under-represented. Beyond a mere issue of resource incompleteness, we show that existing lexical databases have structural l...

    Fausto Giunchiglia, Gábor Bella, Nandu C. Nair, Yang Chi in Artificial Intelligence Review (2023)

  5. No Access

    Article

    Topological enhanced graph neural networks for semi-supervised node classification

    The complexity and non-Euclidean structure of graph data hinders the development of data augmentation methods similar to those in computer vision. In this paper, we propose a feature augmentation method for gr...

    Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu in Applied Intelligence (2023)

  6. No Access

    Chapter and Conference Paper

    The Journey Through Illness of the Type 1 Diabetes Caregiver, from Disruption to Positive Co**

    Type 1 Diabetes is a chronic autoimmune disease that affects mainly children and teenagers. The life, feelings, thoughts and thinking patterns of their parental caregivers must be taken in consideration as the...

    Silvia Torsi, Fausto Giunchiglia, Sole Ayala in Mobile and Ubiquitous Systems: Computing, … (2023)

  7. No Access

    Chapter and Conference Paper

    Aligning Visual and Lexical Semantics

    We discuss two kinds of semantics relevant to Computer Vision (CV) systems - Visual Semantics and Lexical Semantics. While visual semantics focus on how humans build concepts when using vision to perceive a targe...

    Fausto Giunchiglia, Mayukh Bagchi in Information for a Better World: Normality,… (2023)

  8. No Access

    Chapter and Conference Paper

    A Context Model for Personal Data Streams

    We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as they can be collected from mobi...

    Fausto Giunchiglia, **aoyue Li, Matteo Busso, Marcelo Rodas-Britez in Web and Big Data (2023)

  9. No Access

    Chapter and Conference Paper

    One World - Seven Thousand Languages (Best Paper Award, Third Place)

    We present a large scale multilingual lexical resource, the Universal Knowledge Core (UKC), which is organized like a Wordnet with, however, a major design difference. In the UKC the meaning of words is represent...

    Fausto Giunchiglia, Khuyagbaatar Batsuren in Computational Linguistics and Intelligent … (2023)

  10. No Access

    Chapter

    ALP: An Arabic Linguistic Pipeline

    This paper presents ALP, an entirely new linguistic pipeline for natural language processing of text in Modern Standard Arabic. In contrary to the conventional pipeline architecture, we solve common NLP operat...

    Abed Alhakim Freihat, Gábor Bella in Analysis and Application of Natural Langua… (2023)

  11. No Access

    Chapter

    QROWD—A Platform for Integrating Citizens in Smart City Data Analytics

    Optimizing mobility services is one of the greatest challenges Smart Cities face in their efforts to improve residents’ wellbeing and reduce $...

    Luis-Daniel Ibáñez, Eddy Maddalena, Richard Gomer in Sustainable Smart Cities (2023)

  12. No Access

    Chapter and Conference Paper

    iTelos—Case Studies in Building Domain-Specific Knowledge Graphs

    The construction of a domain-specific knowledge graphs is a complex task requiring the synergistic work of domain experts, knowledge engineers, and data scientists. The goal of the iTelos methodology is to suppor...

    Simone Bocca, Mauro Dragoni, Fausto Giunchiglia in Semantic Intelligence (2023)

  13. No Access

    Article

    Graph topology enhancement for text classification

    Graph neural networks (GNNs) can deal with complex network structures and model complex syntax structures in natural languages, which makes GNN outstanding in text classification tasks. However, most graph neu...

    Rui Song, Fausto Giunchiglia, Ke Zhao, Mingjie Tian, Hao Xu in Applied Intelligence (2022)

  14. Article

    Open Access

    Human-in-the-loop handling of knowledge drift

    We introduce and study knowledge drift (KD), a special form of concept drift that occurs in hierarchical classification. Under KD the vocabulary of concepts, their individual distributions, and the is-a relations...

    Andrea Bontempelli, Fausto Giunchiglia in Data Mining and Knowledge Discovery (2022)

  15. Article

    Open Access

    A large and evolving cognate database

    We present CogNet, a large-scale, automatically-built database of sense-tagged cognates—words of common origin and meaning across languages. CogNet is continuously evolving: its current version contains over 8 mi...

    Khuyagbaatar Batsuren, Gábor Bella, Fausto Giunchiglia in Language Resources and Evaluation (2022)

  16. No Access

    Chapter and Conference Paper

    Robots as Transitional Objects for Young Children

    Here, the psychological construct of transitional objects is presented, along with animism and suspension of disbelief in order to provide guidelines and inspiration for Human-Robot Interaction directed to you...

    Silvia Torsi, Nandu Chandran Nair in Information Systems and Technologies (2022)

  17. No Access

    Chapter and Conference Paper

    Popularity Driven Data Integration

    More and more, with the growing focus on large scale analytics, we are confronted with the need of integrating data from multiple sources. The problem is that these data are impossible to reuse as-is. The net res...

    Fausto Giunchiglia, Simone Bocca, Mattia Fumagalli in Knowledge Graphs and Semantic Web (2022)

  18. No Access

    Chapter and Conference Paper

    Representing Habits as Streams of Situational Contexts

    The increasing use of smart devices allows us to extract massive streams of data, e.g., sensor streams, questionnaires, answers, annotations, etc. This information is crucial for the recognition of people’s be...

    **aoyue Li, Marcelo Rodas-Britez in Advanced Information Systems Engineering W… (2022)

  19. Article

    Open Access

    Towards Visual Semantics

    Lexical Semantics is concerned with how words encode mental representations of the world, i.e., concepts. We call this type of concepts, classification concepts. In this paper, we focus on Visual Semantics, namel...

    Fausto Giunchiglia, Luca Erculiani, Andrea Passerini in SN Computer Science (2021)

  20. Article

    Open Access

    Putting human behavior predictability in context

    Various studies have investigated the predictability of different aspects of human behavior such as mobility patterns, social interactions, and shop** and online behaviors. However, the existing researches h...

    Wanyi Zhang, Qiang Shen, Stefano Teso, Bruno Lepri, Andrea Passerini in EPJ Data Science (2021)

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