The Virtual Knowledge Graph System Ontop

Xiao, Guohui; Lanti, Davide; Kontchakov, Roman; Komla-Ebri, Sarah; Güzel-Kalaycı, Elem; Ding, Linfang; Corman, Julien; Cogrel, Benjamin; Calvanese, Diego; Botoeva, Elena

doi:10.1007/978-3-030-62466-8_17

Cited by 41 publications

(24 citation statements)

References 20 publications

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“…In the sequence, it is admitted the proposal to use the Ontop 2 , a popular open-source Virtual Knowledge Graph (VKG) system that can expose heterogeneous data sources as a unified knowledge graph (XIAO et al, 2020) (XIAO et al, 2019. Ontop has a Protégé plug-in facility that will be very useful for SPARQL applications.…”

Section: Future Workmentioning

confidence: 99%

A machine learning domain ontology to populate knowledge base to support intelligent agents working in autonomous systems domains of the Internet infrastructure

Braga

Regateiro²,

Dias³

et al. 2021

Anais Do VIII Workshop Pré-Ietf (WPIETF 2021)

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This paper describes the creation of a domain ontology to represent knowledge to populate a knowledge base to be used by agents, in the environment of Internet Infrastructure routing domains. Protégé 5 was used, which produces results suitable for both software-developed agents and humans. The knowledge created with Protégé is explicit and Protégé has itself inference machines capable of producing implicit knowledge. The resources available in Protégé 5 are presented and the ontology is made available for public use.The content produced with Protégé 5 will be used to populate the knowledge base of the Structure for Knowledge Acquisition, Use, Learning and Collaboration (SKAU), an environment to support intelligent agents over Internet Autonomous Systems domains.

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Section: Future Workmentioning

confidence: 99%

A machine learning domain ontology to populate knowledge base to support intelligent agents working in autonomous systems domains of the Internet infrastructure

Braga

Regateiro²,

Dias³

et al. 2021

Anais Do VIII Workshop Pré-Ietf (WPIETF 2021)

View full text Add to dashboard Cite

show abstract

“…To avoid this, in recent years, VKGs have been developed as a paradigm for data integration and access by exploiting data virtualization [2]. This is achieved by creating graphs on top of relational databases where the data are not physically moved to another database and instead kept and viewed at a virtual level [33]. Virtualization is achieved by creating an ontology, and linking the data sources to the ontology via Mappings.…”

Section: Application 41 Data Setmentioning

confidence: 99%

“…Numerous applications have been developed to support the VKG approach. Some examples include Mastro [34], Morph [35], and Ontop [33]. For our approach, we have adopted the Ontop framework.…”

Section: Application 41 Data Setmentioning

confidence: 99%

SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0

2021

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This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and functionality of SCRO. This includes using the Ontop framework to deploy virtual knowledge graphs for data access, data integration, data querying, and condition-based maintenance purposes. SCRO is evaluated using OOPS!, the ontology pitfall detection system, and feedback from domain experts from Tata Steel.

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“…The most promising one is Ontop-spatial [15,16], which is derived from Ontop v1.18 [17] and supports a large fragment of GeoSPARQL. However, since Ontopspatial is based on an old version of Ontop, it cannot take advantage of the features provided by the latest versions (v4.x) [18], notably better compliance with relevant standards (e.g., aggregation functions in SPARQL), improved performance, and new tooling (e.g., built-in SPARQL endpoint and Docker infrastructure).…”

Section: Introductionmentioning

confidence: 99%

Towards the Next Generation of the Linkedgeodata Project Using Virtual Knowledge Graphs

et al. 2021

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The Virtual Knowledge Graph System Ontop

Cited by 41 publications

References 20 publications

A machine learning domain ontology to populate knowledge base to support intelligent agents working in autonomous systems domains of the Internet infrastructure

A machine learning domain ontology to populate knowledge base to support intelligent agents working in autonomous systems domains of the Internet infrastructure

SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0

Towards the Next Generation of the Linkedgeodata Project Using Virtual Knowledge Graphs

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