Affiliation:
1. Ontology Engineering Group
Abstract
With the rise of Artificial Intelligence driven services and Natural Language Processing techniques, high quality terminological resources are more needed than ever. Still, substantial manual effort is involved in the generation of such resources and many of them are published in non-machine-readable formats, hindering their reuse. In this chapter, we analyse how the Semantic Web can help represent legal language resources and how its publication in open formats can contribute to its interoperability. Throughout the sections, we give an overview of the Semantic Web, review existing legal language resources and the semantic models used to represent them. We also offer a series of practical examples to show the advantages, encouraging users to adopt these conventions.
Publisher
John Benjamins Publishing Company