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Large-scale semantic integration of linked data: A survey
A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …
currently available and this number grows rapidly. However, the major target of Linked Data …
Semantic data integration and querying: a survey and challenges
M Masmoudi, S Ben Abdallah Ben Lamine… - ACM Computing …, 2024 - dl.acm.org
Digital revolution produces massive, heterogeneous and isolated data. These latter remain
underutilized, unsuitable for integrated querying and knowledge discovering. Hence the …
underutilized, unsuitable for integrated querying and knowledge discovering. Hence the …
[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 …
Squerall: Virtual ontology-based access to heterogeneous and large data sources
The last two decades witnessed a remarkable evolution in terms of data formats, modalities,
and storage capabilities. Instead of having to adapt one's application needs to the, earlier …
and storage capabilities. Instead of having to adapt one's application needs to the, earlier …
Fedup: Querying large-scale federations of sparql endpoints
Processing SPARQL queries over large federations of SPARQL endpoints is crucial for
kee** the Semantic Web decentralized. Despite the existence of hundreds of SPARQL …
kee** the Semantic Web decentralized. Despite the existence of hundreds of SPARQL …
Federated SPARQL query processing over heterogeneous linked data fragments
Linked Data Fragments (LDFs) are Web interfaces that enable querying knowledge graphs
on the Web. These interfaces, such as SPARQL endpoints or Triple Pattern Fragment …
on the Web. These interfaces, such as SPARQL endpoints or Triple Pattern Fragment …
Toward representing research contributions in scholarly knowledge graphs using knowledge graph cells
There is currently a gap between the natural language expression of scholarly publications
and their structured semantic content modeling to enable intelligent content search. With the …
and their structured semantic content modeling to enable intelligent content search. With the …
[PDF][PDF] A knowledge graph based integration approach for industry 4.0
I Grangel-González - 2019 - researchgate.net
The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …
Querying interlinked data by bridging RDF molecule templates
Linked Data initiatives have encouraged the publication of a large number of RDF datasets
created by different data providers independently. These datasets can be accessed using …
created by different data providers independently. These datasets can be accessed using …
Semantic data integration of big biomedical data for supporting personalised medicine
Big biomedical data has grown exponentially during the last decades and a similar growth
rate is expected in the next years. Likewise, semantic web technologies have also advanced …
rate is expected in the next years. Likewise, semantic web technologies have also advanced …