9,601 research outputs found

    DeepOnto: A Python Package for Ontology Engineering with Deep Learning

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    Applying deep learning techniques, particularly language models (LMs), in ontology engineering has raised widespread attention. However, deep learning frameworks like PyTorch and Tensorflow are predominantly developed for Python programming, while widely-used ontology APIs, such as the OWL API and Jena, are primarily Java-based. To facilitate seamless integration of these frameworks and APIs, we present Deeponto, a Python package designed for ontology engineering. The package encompasses a core ontology processing module founded on the widely-recognised and reliable OWL API, encapsulating its fundamental features in a more "Pythonic" manner and extending its capabilities to include other essential components including reasoning, verbalisation, normalisation, projection, and more. Building on this module, Deeponto offers a suite of tools, resources, and algorithms that support various ontology engineering tasks, such as ontology alignment and completion, by harnessing deep learning methodologies, primarily pre-trained LMs. In this paper, we also demonstrate the practical utility of Deeponto through two use-cases: the Digital Health Coaching in Samsung Research UK and the Bio-ML track of the Ontology Alignment Evaluation Initiative (OAEI).Comment: under review at Semantic Web Journa

    CULTURAL HERITAGE AND RISK: LET'S <i>GIVE INTELLIGENCE</i> TO OUR TECHNOLOGIES

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    In the last decades, the evolution in the sector of technologies applied to cultural heritage has taken on extraordinary accelerations in terms of accuracy and reliability of the measurement and restitution, as well as in the management of acquired data. In particular, the complex of these measurement and documentation actions are of fundamental importance if interfaced with other types of heterogeneous data acquired in different ways. Nevertheless, in face of such a complex framework of know- how, increasingly advanced technologies, dedicated programs and funding, meetings and debates, the establishment of specific Institutional Bodies to manage decision-making plans and their implementation, we continue to witness the frantic chasing of emergencies after the occurrence of catastrophic events. The spectrum of risks is more and more manifesting itself in its breadth: to the evidence of the effects due to Climate Change, those deriving from hydrogeological instability, from the lack of care of the territory and coasts, the devastation of an anthropic nature due to the senseless consumption of soil, and the unsustainable pressure of an uncultured, omnivorous tourism, are added with increasing frequency. This contribution deals in a general way with the theme of technologies for the knowledge of Cultural Heritage. It intends to critically question about the dangers inherent in the "indiscriminate, unconscious and uncritical" use of technologies for the knowledge of Cultural Heritage oriented towards its preservation. The aim is to prompt a discussion within the scientific community dealing with the documentation and conservation of cultural heritage in order to promote an indispensable culture of prevention and planned conservation, in which the intelligent relationship between Man and technology must be rediscovered

    a systematic review

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    Funding Information: This study is part of an interdisciplinary research project, funded by the Special Research Fund (Bijzonder Onderzoeksfonds) of Ghent University.Introduction: Ontologies are a formal way to represent knowledge in a particular field and have the potential to transform the field of health promotion and digital interventions. However, few researchers in physical activity (PA) are familiar with ontologies, and the field can be difficult to navigate. This systematic review aims to (1) identify ontologies in the field of PA, (2) assess their content and (3) assess their quality. Methods: Databases were searched for ontologies on PA. Ontologies were included if they described PA or sedentary behavior, and were available in English language. We coded whether ontologies covered the user profile, activity, or context domain. For the assessment of quality, we used 12 criteria informed by the Open Biological and Biomedical Ontology (OBO) Foundry principles of good ontology practice. Results: Twenty-eight ontologies met the inclusion criteria. All ontologies covered PA, and 19 included information on the user profile. Context was covered by 17 ontologies (physical context, n = 12; temporal context, n = 14; social context: n = 5). Ontologies met an average of 4.3 out of 12 quality criteria. No ontology met all quality criteria. Discussion: This review did not identify a single comprehensive ontology of PA that allowed reuse. Nonetheless, several ontologies may serve as a good starting point for the promotion of PA. We provide several recommendations about the identification, evaluation, and adaptation of ontologies for their further development and use.publishersversionpublishe

    A Constraint-based Recommender System via RDF Knowledge Graphs

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    Knowledge graphs, represented in RDF, are able to model entities and their relations by means of ontologies. The use of knowledge graphs for information modeling has attracted interest in recent years. In recommender systems, items and users can be mapped and integrated into the knowledge graph, which can represent more links and relationships between users and items. Constraint-based recommender systems are based on the idea of explicitly exploiting deep recommendation knowledge through constraints to identify relevant recommendations. When combined with knowledge graphs, a constraint-based recommender system gains several benefits in terms of constraint sets. In this paper, we investigate and propose the construction of a constraint-based recommender system via RDF knowledge graphs applied to the vehicle purchase/sale domain. The results of our experiments show that the proposed approach is able to efficiently identify recommendations in accordance with user preferences

    Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs

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    Knowledge graphs and ontologies provide promising technical solutions for implementing the FAIR Principles for Findable, Accessible, Interoperable, and Reusable data and metadata. However, they also come with their own challenges. Nine such challenges are discussed and associated with the criterion of cognitive interoperability and specific FAIREr principles (FAIR + Explorability raised) that they fail to meet. We introduce an easy-to-use, open source knowledge graph framework that is based on knowledge graph building blocks (KGBBs). KGBBs are small information modules for knowledge-processing, each based on a specific type of semantic unit. By interrelating several KGBBs, one can specify a KGBB-driven FAIREr knowledge graph. Besides implementing semantic units, the KGBB Framework clearly distinguishes and decouples an internal in-memory data model from data storage, data display, and data access/export models. We argue that this decoupling is essential for solving many problems of knowledge management systems. We discuss the architecture of the KGBB Framework as we envision it, comprising (i) an openly accessible KGBB-Repository for different types of KGBBs, (ii) a KGBB-Engine for managing and operating FAIREr knowledge graphs (including automatic provenance tracking, editing changelog, and versioning of semantic units); (iii) a repository for KGBB-Functions; (iv) a low-code KGBB-Editor with which domain experts can create new KGBBs and specify their own FAIREr knowledge graph without having to think about semantic modelling. We conclude with discussing the nine challenges and how the KGBB Framework provides solutions for the issues they raise. While most of what we discuss here is entirely conceptual, we can point to two prototypes that demonstrate the principle feasibility of using semantic units and KGBBs to manage and structure knowledge graphs

    Impact of language skills and system experience on medical information retrieval

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    Tourism and heritage in the Chornobyl Exclusion Zone

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    Tourism and Heritage in the Chornobyl Exclusion Zone (CEZ) uses an ethnographic lens to explore the dissonances associated with the commodification of Chornobyl's heritage. The book considers the role of the guides as experience brokers, focusing on the synergy between tourists and guides in the performance of heritage interpretation. Banaszkiewicz proposes to perceive tour guides as important actors in the bottom-up construction of heritage discourse contributing to more inclusive and participatory approach to heritage management. Demonstrating that the CEZ has been going through a dynamic transformation into a mass tourism attraction, the book offers a critical reflection on heritagisation as a meaning-making process in which the resources of the past are interpreted, negotiated, and recognised as a valuable legacy. Applying the concepts of dissonant heritage to describe the heterogeneous character of the CEZ, the book broadens the interpretative scope of dark tourism which takes on a new dimension in the context of the war in Ukraine. Tourism and Heritage in the Chornobyl Exclusion Zone argues that post-disaster sites such as Chornobyl can teach us a great deal about the importance of preserving cultural and natural heritage for future generations. The book will be of interest to academics and students who are engaged in the study of heritage, tourism, memory, disasters and Eastern Europe

    An exploration of adherence and persistence in overactive bladder and other long-term conditions

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    Background and aims Overactive bladder is a common, bothersome, and chronic condition associated with symptoms of urinary urgency, incontinence, increased daytime micturition frequency and nocturia. Despite exerting a significant burden on quality of life, adherence, and persistence behaviours with OAB are particularly poor in comparison with other long-term conditions. The aims of the present work were to explore themes relating to medicine-taking behaviours in OAB and other long-term conditions and to suggest ways to improve them. Methods A systematic literature review was undertaken to understand the current landscape of qualitative work exploring adherence and persistence with OAB patients. A qualitative study involving 1:1 semi-structured interviews was conducted with OAB patients to explore the context and drivers for adherence and persistence behaviours using thematic analysis. A comparative analysis was then undertaken with qualitative papers exploring medicinetaking behaviours in a chronic bowel condition, type II diabetes, and multimorbidity to explore the themes identified in the OAB study for convergence and divergence in other conditions and to contextualise the learnings from the former study. Results The systematic literature review revealed a gap in the literature of qualitative exploration of adherence and persistence behaviours in OAB patients. The OAB study found a range of drivers for non-adherent behaviours including a perceived lack of treatment efficacy, side effects, unclear instructions, and drug and condition hierarchies, as well as the rich context within which these themes sit. The comparative analysis study supported the findings of the OAB study demonstrating evidence of key themes transcending across conditions, including a perceived lack of treatment efficacy and side effects, as well as nuances associated with the OAB experience. Conclusions The present work has identified key drivers for non-adherent behaviours in OAB patients and sets out a number of recommendations categorised within the World Health Organisation’s 5 dimensions of adherence. These include addressing the poor understanding and illness perception of OAB by patients and others, by improving the provision and availability of information, as well as the work of patient support groups; scrutiny on the support within primary care to OAB patients before and after diagnosis; and the encouragement of realistic expectations of the condition and treatment with mindful use of prescriber’s language at the point of prescribing. The present work has further highlighted the utility of conceptual models of adherence such as COM-B and the NCF in understanding medicine-taking behaviours in the context of OAB
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