Defying Wikidata: Validation of Terminological Relations in the Web of Data

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 5654–5659 Marseille, 11–16 May 2020 c⃝ European Language Resources Association (ELRA), licensed under CC-BY-NC 5654 Defying Wikidata: Validation of Terminological Relations in the Web of Data Patricia Martín-Chozas1, Sina Ahmadi2, Elena Montiel-Ponsoda1 1Ontology Engineering Group, Universidad Politécnica de Madrid 2Insight Center for Data Analytics, National University of Ireland Galway 1{pmchozas, emontiel}@fi.upm.es, 2sina.ahmadi@insight-centre.org Abstract In this paper we present an approach to validate terminological data retrieved from open encyclopaedic knowledge bases. This need arises from the enrichment of automatically extracted terms with information from existing resources in the Linguistic Linked Open Data cloud. Specifically, the resource employed for this enrichment is WIKIDATA, since it is one of the biggest knowledge bases freely available within the Semantic Web. During the experiment, we noticed that certain RDF properties in the Knowledge Base did not contain the data they are intended to represent, but a different type of information. In this paper we propose an approach to validate the retrieved data based on four axioms that rely on two linguistic theories: the x-bar theory and the multidimensional theory of terminology. The validation process is supported by a second knowledge base specialised in linguistic data; in this case, CONCEPTNET. In our experiment, we validate terms from the legal domain in four languages: Dutch, English, German and Spanish. The final aim is to gen- erate a set of sound and reliable terminological resources in RDF to contribute to the population of the Linguistic Linked Open Data cloud. Keywords: linguistic linked open data, knowledge representation, terminological relations, resource population, multilingualism 1. Introduction We are living what many people call the Fourth Industrial Revolution that is distinguished by the strengthening of In- formation and Communications Technology, and specif- ically the emergence of the Knowledge Society (Bindé, 2005). In this society, data and knowledge have become very valuable assets: generating, sharing and reusing data are common transactions. However, not every area of knowledge is undergoing such transformation at the same speed; this is the case of the legal domain. In the last decade, law publishers, such as the European Union, joined the effort of publishing documents in XML- based structured formats (Caterina Lupo et al., 2007). Sim- ilarly, there have also been several non-official initiatives (Chalkidis et al., 2017) (Frosterus et al., 2013) (Rodríguez- Doncel et al., 2018) to publish legislation as per the Linked Data Principles (Bizer et al., 2009). However, what seems to be the definitive push in the exposure of legal resources as data in Europe is the European Legislation Identifier (ELI) 1, an initiative to harmonise the manner in which leg- islation is published. Every piece of legislation is identi- fied by an HTTP URI and homogeneously described with a common minimum set of metadata elements supported by the ELI Ontology. Still, legal affairs have always been difficult to understand by non-experts due to its intricate and complex jargon. Scarce documentation available on- line hardly helps improve this situation as many linguistic …

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