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 …
there is no overview of existing approaches for generating knowledge graphs from …
Knowledge Graph Construction with a Façade: A Unified Method to Access Heterogeneous Data Sources on the Web
Data integration is the dominant use case for RDF Knowledge Graphs. However, Web
resources come in formats with weak semantics (for example, CSV and JSON), or formats …
resources come in formats with weak semantics (for example, CSV and JSON), or formats …
[HTML][HTML] The RML ontology: A community-driven modular redesign after a decade of experience in mapping heterogeneous data to RDF
A Iglesias-Molina, D Van Assche… - International Semantic …, 2023 - Springer
Abstract The Relational to RDF Mapping 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 …
[HTML][HTML] Morph-KGC: Scalable knowledge graph materialization with mapping 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] Knowledge graph based hard drive failure prediction
The hard drive is one of the important components of a computing system, and its failure can
lead to both system failure and data loss. Therefore, the reliability of a hard drive is very …
lead to both system failure and data loss. Therefore, the reliability of a hard drive is very …
Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the
power of integrating disparate sources of knowledge to discover adverse drug effects …
power of integrating disparate sources of knowledge to discover adverse drug effects …
[HTML][HTML] Construction of Knowledge Graphs: Current State and Challenges
With Knowledge Graphs (KGs) at the center of numerous applications such as recommender
systems and question-answering, the need for generalized pipelines to construct and …
systems and question-answering, the need for generalized pipelines to construct and …
Construction of knowledge graphs: State and challenges
With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …
systems and question answering, the need for generalized pipelines to construct and …
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 …
Funmap: Efficient execution of functional mappings 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 …