A Scalable Framework for Quality Assessment of RDF Datasets

Sejdiu, Gëzim; Rula, Anisa; Lehmann, Jens; Jabeen, Hajira

doi:10.1007/978-3-030-30796-7_17

Cited by 10 publications

(8 citation statements)

References 22 publications

(44 reference statements)

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“…Le projet européen Slipo aborde la question de fusion de données de gazetiers contemporains avec les mêmes préoccupations et propose des outils de fusion, désambiguïsation et nettoyage (Debattista, Auer et Lange 2016) qui reposent sur les mêmes principes que ceux que nous avons mis en oeuvre ici. L'effort de conception de ces outils a porté en effet sur l'analyse de jeux de données distribués (Sejdiu et al 2019), souvent massifs, mais pas forcément sur les nuances qu'on peut apporter quant à la modélisation de la qualité dans toutes ses dimensions, afin d'intégrer au maximum la connaissance effective des historiens dans les modèles informatiques. C'est aujourd'hui notre perspective majeure de recherche pour ce qui concerne la qualification des données géographiques.…”

Section: Discussionunclassified

Un gazetier des places portuaires françaises du xviiie siècle

Plumejeaud-Perreau¹,

Mimouni²,

Bouju³

et al. 2021

revuehn

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Section: Discussionunclassified

Un gazetier des places portuaires françaises du xviiie siècle

Plumejeaud-Perreau¹,

Mimouni²,

Bouju³

et al. 2021

revuehn

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“…As for the KG, we assess its quality w.r.t availability, completeness, conciseness, interlinking, performance, relevancy dimensions. For this, we use SANSA linked data quality assessment metrics [41] described in table 4.…”

Section: Quality Assessment Of Knowledge Graphmentioning

confidence: 99%

A Biomedical Knowledge Graph for Biomarker Discovery in Cancer

Karim¹,

Comet²,

Beyan³

et al. 2023

Preprint

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Structured and unstructured data and facts about drugs, genes, protein, viruses, and their mechanism are spread across a huge number of scientific articles. These articles are a large-scale knowledge source and can have a huge impact on disseminating knowledge about the mechanisms of certain biological processes. A domain-specific knowledge graph (KG) is an explicit conceptualization of a specific subject-matter domain represented w.r.t semantically interrelated entities and relations. A KG can be constructed by integrating such facts and data and be used for data integration, exploration, and federated queries. However, exploration and querying large-scale KGs is tedious for certain groups of users due to a lack of knowledge about underlying data assets or semantic technologies. Such a KG will not only allow deducing new knowledge and question answering (QA), but also allows domain experts in exploration. Since cross-disciplinary explanations are important for accurate diagnosis, it is important to query the KG to provide interactive explanations about learned biomarkers. Inspired by these, we construct a domain-specific KG particularly for cancer-specific biomarker discovery. The KG is constructed by integrating cancerrelated knowledge and facts from multiple sources. First, we construct a domain-specific ontology, which we call OncoNet Ontology (ONO). The ONO ontology is developed to enable semantic reasoning for verification of the predictions for relations between diseases and genes. The KG is then developed and enriched by harmonizing the ONO, additional metadata schemas, ontologies, controlled vocabularies, and additional concept from external sources using a BERT-based information extraction method. BioBERT and SciBERT are finetuned with the selected articles crawled from the PubMed. We listed down some queries and some examples of QA and deducing knowledge based on the KG.

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“…Stardog Integrity Constraint Validation (ICV) allows to write constraints that are translated to SPARQL in order to assess RDF triples in a repository [29]. DistQualityAssessment is an open source implementation of quality assessment of large RDF datasets using Apache Spark [35]. Luzzu is a platform that assesses Linked Data quality using a library of generic and user-provided domain specific quality metrics [36].…”

Section: Validating Lodmentioning

confidence: 99%

A Shape Expression approach for assessing the quality of Linked Open Data in libraries

Candela

Esteban

Fernández

et al. 2022

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Cultural heritage institutions are exploring Semantic Web technologies to publish and enrich their catalogues. Several initiatives, such as Labs, are based on the creative and innovative reuse of the materials published by cultural heritage institutions. In this way, quality has become a crucial aspect to identify and reuse a dataset for research. In this article, we propose a methodology to create Shape Expressions definitions in order to validate LOD datasets published by libraries. The methodology was then applied to four use cases based on datasets published by relevant institutions. It intends to encourage institutions to use ShEx to validate LOD datasets as well as to promote the reuse of LOD, made openly available by libraries.

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A Scalable Framework for Quality Assessment of RDF Datasets

Cited by 10 publications

References 22 publications

Un gazetier des places portuaires françaises du xviiie siècle

Un gazetier des places portuaires françaises du xviiie siècle

A Biomedical Knowledge Graph for Biomarker Discovery in Cancer

A Shape Expression approach for assessing the quality of Linked Open Data in libraries

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