Large-scale semantic integration of linked data: A survey

M Mountantonakis, Y Tzitzikas - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …

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 …

[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 …

Squerall: Virtual ontology-based access to heterogeneous and large data sources

MN Mami, D Graux, S Scerri, H Jabeen, S Auer… - The Semantic Web …, 2019 - Springer
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 …

Fedup: Querying large-scale federations of sparql endpoints

J Aimonier-Davat, B Nédelec, MH Dang… - Proceedings of the …, 2024 - dl.acm.org
Processing SPARQL queries over large federations of SPARQL endpoints is crucial for
kee** the Semantic Web decentralized. Despite the existence of hundreds of SPARQL …

Federated SPARQL query processing over heterogeneous linked data fragments

L Heling, M Acosta - Proceedings of the ACM Web Conference 2022, 2022 - dl.acm.org
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 …

Toward representing research contributions in scholarly knowledge graphs using knowledge graph cells

L Vogt, J D'Souza, M Stocker, S Auer - Proceedings of the ACM/IEEE …, 2020 - dl.acm.org
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 …

[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 …

Querying interlinked data by bridging RDF molecule templates

KM Endris, M Galkin, I Lytra, MN Mami… - Transactions on Large …, 2018 - Springer
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 …

Semantic data integration of big biomedical data for supporting personalised medicine

ME Vidal, KM Endris, S Jozashoori, F Karim… - Current Trends in …, 2019 - Springer
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 …