VeSNet Specification
How VeSNet is constructed
VeSNet integrates several Linked Open Data resources. It uses SKOS-RDF system to organize knowledge.
VeSNet was constructed by combining manual expert annotation with automatic alignment techniques.
- Professional linguists mapped samples of thesaurus concepts to WordNet using SKOS relations (exactMatch, closeMatch, broadMatch, narrowMatch, relatedMatch).
- Automatic procedures extended these mappings using multilingual labels, semantic overlap heuristics, and propagation across resources.
As a result, VeSNet provides 1.3M new equivalence links, including 85K new connections to PEWN, with a precision of ~94%.
For full details of the methodology and evaluation, see the publication:
Constructing VeSNet: Mapping LOD Thesauri onto Princeton WordNet and Polish WordNet
VeSNet in numbers
- 31 LOD resources,
- 85 214 028 triples,
- 521 501 generated mapping (entailment) triples between PlWN and included resources,
Citing VeSNet
@InProceedings{10.1007/978-3-030-88113-9_49,
author="Janz, Arkadiusz
and Kostkowski, Grzegorz
and Maziarz, Marek",
editor="Wojtkiewicz, Krystian
and Treur, Jan
and Pimenidis, Elias
and Maleszka, Marcin",
title="Constructing VeSNet: Mapping LOD Thesauri onto Princeton WordNet and Polish WordNet",
booktitle="Advances in Computational Collective Intelligence",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="608--620",
abstract="Lexical resources are crucial in many modern applications of Natural Language Processing and Artificial Intelligence. We present VeSNet -- a network of lexical resources resulting from the merge of Polish-English WordNet (PEWN) with several existing large electronic thesauri from the Linked Open Data cloud (DBpedia, Wikipedia, GeoWordNet, Agrovoc, Eurovoc, Gemet and MeSH). We describe the procedure of making the resource and depict its elementary properties, as well as, evaluate its quality. The created lexical network is characterised both by great coverage and high precision: nearly 1.3M new exactMatch links were created, including 85K to PEWN, with the estimated precision of 94{\%}.",
isbn="978-3-030-88113-9"
}