Natural Language Processing in the Era of Artificial Intelligence

Dear Colleagues,

In an era when massive amounts of data have become available, researchers across various domains increasingly require the expertise of language engineers to process large quantities of literature, data, and records. Whether in healthcare, finance, education, social sciences, or any other field, linking the contents of these documents to each other, as well as to specialized ontologies, can enable access to and discovery of structured information, fostering significant advancements in natural language processing and research.

This Special Issue aims to gather innovative approaches for the exploitation of data using semantic web technologies and linked data by bringing together practitioners, researchers, and scholars to share examples, use cases, theories, and analyses across different fields. The main objective of this Special Issue is to consolidate an internationally appreciated forum for scientific research, with emphasis on crowdsourcing, the semantic web, knowledge integration, and data linking.

Dr. Daniela Gîfu
Dr. Kevin Cohen
Guest Editors

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