Declarative generation of RDF-star graphs from heterogeneous data

Semantic Web, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Март 20, 2024

RDF-star has been proposed as an extension of RDF to make statements about statements. Libraries and graph stores have started adopting RDF-star, but the generation data remains largely unexplored. To allow generating from heterogeneous data, RML-star was RML. However, no system developed so far that implements specification. In this work, we present Morph-KGCstar, which extends Morph-KGC materialization engine generate datasets. We validate Morph-KGCstar by running test cases derived N-Triples-star syntax tests apply it two real-world use biomedical open science domains. compare performance our approach against other methods (SPARQL-Anything), showing scales better for large input datasets, is slower when processing multiple smaller files.

Язык: Английский

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RMLdoc: Documenting Mapping Rules for Knowledge Graph Construction

Lecture notes in computer science, Год журнала: 2025, Номер unknown, С. 326 - 330

Опубликована: Янв. 1, 2025

Язык: Английский

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The TOXIN knowledge graph: supporting animal-free risk assessment of cosmetics

Database, Год журнала: 2025, Номер 2025

Опубликована: Янв. 1, 2025

The European Union's ban on animal testing for cosmetic products and their ingredients, combined with the lack of validated animal-free methods, poses challenges in evaluating potential repeated-dose organ toxicity. To address this, innovative strategies like Next-Generation Risk Assessment (NGRA) are being explored, integrating historical data new mechanistic insights from non-animal New Approach Methodologies (NAMs). This paper introduces TOXIN knowledge graph (TOXIN KG), a tool designed to retrieve toxicological information focus liver-related data. KG uses graph-structured semantic technology integrates through ontologies, ensuring interoperable representation. primary source is safety ingredients scientific opinions issued by Scientific Committee Consumer Safety between 2009 2019. ToxRTool automates reliability assessment toxicity studies, while Simplified Molecular Input Line Entry System (SMILES) notation standardizes chemical identification, enabling silico prediction via implementation Organization Economic Co-operation Development Quantitative Structure-Activity Relationship Toolbox (OECD QSAR Toolbox). ToXic Process Ontology, enriched relevant biological repositories, employed represent concepts systematically. Search filters allow identification compounds potentially linked liver Data visualization achieved Ontodia, JavaScript library. KG, filled 88 allowed us identify 53 affecting at least one parameter 90-day study. For compound, we illustrate how links this observation hepatic cholestasis as an adverse outcome. In ab initio NGRA context, follow-up vitro studies using human-based NAMs would be necessary understand compound's activity molecular mechanism leading effect. summary, emerges valuable advancing reusability cosmetics data, providing support NAM-based hazard risk assessments. Database URL: https://toxin-search.netlify.app/.

Язык: Английский

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Digital Twins for Precast Concrete: Advancing Environmental Analysis Through Integrated Life Cycle Assessment

Lecture notes in civil engineering, Год журнала: 2025, Номер unknown, С. 613 - 627

Опубликована: Янв. 1, 2025

Язык: Английский

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LUBM4OBDA: Benchmarking OBDA Systems with Inference and Meta Knowledge

Journal of Web Engineering, Год журнала: 2024, Номер unknown, С. 1163 - 1186

Опубликована: Фев. 22, 2024

Ontology-based data access focuses on enabling query evaluation over heterogeneous relational databases according to the model represented by an ontology. The relationships between ontology and sources are commonly defined with declarative mappings, which used systems perform SPARQL-to-SQL translation or generate RDF dumps from databases. Besides potential homogenization of because using ontology, some additional advantages this paradigm that it may allow applying reasoning thanks as well querying for meta knowledge, describes statements information such provenance certainty. In paper, (i) we adapt a widely graph store benchmark, namely LUBM, ontology-based access, (ii) extend benchmark queries exploit (iii) apply performance state-of-the-art mapping systems. Our proposal, LUBM4OBDA Benchmark, considers inference capabilities not covered previous benchmarks, is first one knowledge RDF-star model. experimental shows current virtualization cannot handle advanced tasks, optimizations needed scale materialization.

Язык: Английский

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An RML-FNML module for Python user-defined functions in Morph-KGC

SoftwareX, Год журнала: 2024, Номер 26, С. 101709 - 101709

Опубликована: Апрель 1, 2024

The RML mapping language declares schema transformations to map heterogeneous data into knowledge graphs. Although the provided by are sufficient for simple use cases, large real-world ones typically involve diverse and require complex computations. User-defined functions provide flexibility enable creation application of graphs these cases also allow reusing existing software packages processing in multiple domains. In this work, we present an implementation Morph-KGC. This has following benefits: (i) it conforms RML-FNML, standard module RML, (ii) can handle user-defined written Python, a widely used programming processing, (iii) includes support YARRRML, user-friendly syntax maximize usability. is currently being BASF, multinational chemical company, semantically integrate its industrial maintainable reproducible manner.

Язык: Английский

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SCOOP All the Constraints’ Flavours for Your Knowledge Graph

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 217 - 234

Опубликована: Янв. 1, 2024

Язык: Английский

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MLSea: A Semantic Layer for Discoverable Machine Learning

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 178 - 198

Опубликована: Янв. 1, 2024

Язык: Английский

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KROWN: A Benchmark for RDF Graph Materialisation

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 20 - 39

Опубликована: Ноя. 26, 2024

Язык: Английский

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Re-Construction Impact on Metadata Representation Models

Опубликована: Ноя. 29, 2023

Reification in knowledge graphs has been present since the inception of RDF to allow capturing additional information triples, usually metadata. The need adopting or changing a metadata representation pre-existing graph enhance capture and access can lead inducing complex structural changes graph, according target representation's schema. In these situations, it is necessary decide whether construct again from its original sources, re-construct using current version graph. this paper we conduct an empirical study analyze which re-construction approach more suitable for switching created ensuring that represented preserved. We four well-known representations, mapping languages SPARQL CONSTRUCT queries it. With work aim provide insights about impact on representations interoperability implications different approaches.

Язык: Английский

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