Declarative RDF graph generation from heterogeneous (semi-) structured data: A systematic literature review

D Van Assche, T Delva, G Haesendonck… - Journal of Web …, 2023 - Elsevier
More and more data in various formats are integrated into knowledge graphs. However,
there is no overview of existing approaches for generating knowledge graphs from …

The RML ontology: A community-driven modular redesign after a decade of experience in map** heterogeneous data to RDF

A Iglesias-Molina, D Van Assche… - International Semantic …, 2023 - Springer
Abstract The Relational to RDF Map** Language (R2RML) became a W3C
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …

Morph-KGC: Scalable knowledge graph materialization with map** partitions

J Arenas-Guerrero, D Chaves-Fraga, J Toledo… - Semantic …, 2024 - content.iospress.com
Abstract Knowledge graphs are often constructed from heterogeneous data sources, using
declarative rules that map them to a target ontology and materializing them into RDF. When …

[HTML][HTML] GTFS-Madrid-Bench: A benchmark for virtual knowledge graph access in the transport domain

D Chaves-Fraga, F Priyatna, A Cimmino… - Journal of Web …, 2020 - Elsevier
A large number of datasets are being made available on the Web using a variety of formats
and according to diverse data models. Ontology Based Data Integration (OBDI) has been …

Declarative description of knowledge graphs construction automation: Status & challenges

A Dimou, D Chaves-Fraga - Third International Workshop on …, 2022 - openreview.net
Nowadays, Knowledge Graphs (KG) are among the most powerful mechanisms to represent
knowledge and integrate data from multiple domains. However, most of the available data …

Scaling up knowledge graph creation to large and heterogeneous data sources

E Iglesias, S Jozashoori, ME Vidal - Journal of Web Semantics, 2023 - Elsevier
RDF knowledge graphs (KG) are powerful data structures to represent factual statements
created from heterogeneous data sources. KG creation is laborious and demands data …

A methodology for semantic enrichment of cultural heritage images using artificial intelligence technologies

Y Abgaz, R Rocha Souza, J Methuku, G Koch… - Journal of …, 2021 - mdpi.com
Cultural heritage images are among the primary media for communicating and preserving
the cultural values of a society. The images represent concrete and abstract content and …

Funmap: Efficient execution of functional map**s for knowledge graph creation

S Jozashoori, D Chaves-Fraga, E Iglesias… - International Semantic …, 2020 - Springer
Data has exponentially grown in the last years, and knowledge graphs constitute powerful
formalisms to integrate a myriad of existing data sources. Transformation functions–specified …

Knowledge graph construction with R2RML and RML: an ETL system-based overview

J Arenas Guerrero, M Scrocca… - CEUR workshop …, 2021 - oa.upm.es
Knowledge graphs have proven to be a powerful technology to integrate and structure the
myriad of data available nowadays. The semantic web community has actively worked on …

Publishing authoritative geospatial data to support interlinking of building information models

K McGlinn, R Brennan, C Debruyne, A Meehan… - Automation in …, 2021 - Elsevier
Abstract Building Information Modelling (BIM) is a key enabler to support integration of
building data within the buildings life cycle (BLC) and is an important aspect to support a …