Abstract
We are pleased to introduce this special issue on the topic of “Towards the Multilingual Web of Data”, which we feel is a timely and valuable topic in our increasingly multilingual and interconnected world.[...]
Highlights
Natural Language Processing (NLP) and machine learning for linked data can benefit from exploiting multilingual language resources, such as annotated corpora, wordnets, bilingual dictionaries, etc., if they are themselves formally represented and linked by following the linked data principles
A critical mass of language resources as linked data on the Web are leading to a new generation of linked data-aware NLP techniques and tools which, in turn, will serve as basis for a richer, multilingual Web
We are pleased to publish six high-quality publications related to the topic of the multilingual Web of Data and in particular, with relation to models that are widely used in the Web already, such as the OntoLex-Lemon model
Summary
Natural Language Processing (NLP) and machine learning for linked data can benefit from exploiting multilingual language resources, such as annotated corpora, wordnets, bilingual dictionaries, etc., if they are themselves formally represented and linked by following the linked data principles. A critical mass of language resources as linked data on the Web are leading to a new generation of linked data-aware NLP techniques and tools which, in turn, will serve as basis for a richer, multilingual Web. In this special issue, we are pleased to publish six high-quality publications related to the topic of the multilingual Web of Data and in particular, with relation to models that are widely used in the Web already, such as the OntoLex-Lemon model.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
