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I would like to know if there exists some work that is able to extract all properties and values from entities from a large set of heterogeneous RDF datasets, such as LOD cloud?

Example: I would like to extract all properties and values from all cities from all datasets of the whole LOD cloud.

Problem: Ontology alignment, example, city in DBpedia is represented by (http://dbpedia.org/ontology/City) but wikidata, city is (https://www.wikidata.org/wiki/Q515).

Andre Valdestilhas
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1 Answers1

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Written on the website https://lod-cloud.net/#about

The raw data is available here

You got downvotes because SO is not a place for questions with no research or thinking, otherwise, we'd be spammed with thoughtless questions.

Answering comment

The ontologies have to be merged, maybe define it with owl:equivalentClass owl:sameAs. http://schema.org is a project already established attempting to solve the problem, so to have a master ontology once for all.

Geospatial Consortium also tries to standardize geo terms.

There is also data mining research about merging data (including ontology), which I don't know enough to give exact advice.

Mzq
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  • **Thank you for the answer**. --- How did you solve the problem of the ontology matching in all these heterogeneous datasets from LODcloud, because they do not follow the same ontology. --- How to answer a simple question, such as " how to extract all properties and values from all cities from all datasets" --- Remember, we are talking about different datasets, with different ontologies. --- Example: example, city in DBpedia is represented by (http://dbpedia.org/ontology/City) but wikidata, city is (https://www.wikidata.org/wiki/Q515) and so on... --- Thanks in advance. – Andre Valdestilhas Feb 19 '19 at 15:34
  • I've updated my answer for the second question. You may want to update your question to be clearer, so more ppl may consider answering. – Mzq Feb 20 '19 at 04:18