Declarative RDF graph generation from heterogeneous (semi-) structured data: A systematic literature review
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 …
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
Abstract The Relational to RDF Map** Language (R2RML) became a W3C
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …
Morph-KGC: Scalable knowledge graph materialization with map** partitions
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 …
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
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 …
and according to diverse data models. Ontology Based Data Integration (OBDI) has been …
Declarative description of knowledge graphs construction automation: Status & challenges
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 …
knowledge and integrate data from multiple domains. However, most of the available data …
Scaling up knowledge graph creation to large and heterogeneous data sources
RDF knowledge graphs (KG) are powerful data structures to represent factual statements
created from heterogeneous data sources. KG creation is laborious and demands data …
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
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 …
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
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 …
formalisms to integrate a myriad of existing data sources. Transformation functions–specified …
Knowledge graph construction with R2RML and RML: an ETL system-based overview
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 …
myriad of data available nowadays. The semantic web community has actively worked on …
Publishing authoritative geospatial data to support interlinking of building information models
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 …
building data within the buildings life cycle (BLC) and is an important aspect to support a …