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Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph

Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph
Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph
These dataset contains the results of the interlinking process between selected csv datasets harvested by the European DAta Portal and the DBpedia knowledge graph. We aim at answering the following questions: What are the more popular column types? This will provide hindsight about what the datasets hold and how they can be joined. It will also provide hindsight on what specific linking schemes could be applied in future elements. What datasets have columns of the same type? This will suggest datasets that may be similar or related. What entities appear in most datasets (co-referent entities)? This will suggest entities for which more data is published. What datasets share a particular entity? This will suggest datasets that may be joined, or are related through that particular entity Results are provided as augmented tables, that contain the columns of the original csv, plus a metadata file in JSON-LD format. The metadata files can be loaded in an RDF-store and queried. Refer to the accompanying report of activities for more details on the methodolog and how to query the dataset.
Zenodo
Ibanez, Luis-Daniel
65a2e20b-74a9-427d-8c4c-2330285153ed
Ibanez, Luis-Daniel
65a2e20b-74a9-427d-8c4c-2330285153ed

(2020) Semantic links between selected CSV datasets harvested by the European Data Portal and the DBpedia knowledge graph. Zenodo doi:10.5281/zenodo.3837721 [Dataset]

Record type: Dataset

Abstract

These dataset contains the results of the interlinking process between selected csv datasets harvested by the European DAta Portal and the DBpedia knowledge graph. We aim at answering the following questions: What are the more popular column types? This will provide hindsight about what the datasets hold and how they can be joined. It will also provide hindsight on what specific linking schemes could be applied in future elements. What datasets have columns of the same type? This will suggest datasets that may be similar or related. What entities appear in most datasets (co-referent entities)? This will suggest entities for which more data is published. What datasets share a particular entity? This will suggest datasets that may be joined, or are related through that particular entity Results are provided as augmented tables, that contain the columns of the original csv, plus a metadata file in JSON-LD format. The metadata files can be loaded in an RDF-store and queried. Refer to the accompanying report of activities for more details on the methodolog and how to query the dataset.

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More information

Published date: 21 May 2020

Identifiers

Local EPrints ID: 472642
URI: http://eprints.soton.ac.uk/id/eprint/472642
PURE UUID: e578494b-24ae-43a1-b61e-9fb067e929e7
ORCID for Luis-Daniel Ibanez: ORCID iD orcid.org/0000-0001-6993-0001

Catalogue record

Date deposited: 12 Dec 2022 18:26
Last modified: 06 May 2023 01:50

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Contributors

Contributor: Luis-Daniel Ibanez ORCID iD

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