Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other systems, the construction of a robust knowledge base guarantees its use in most natural language processing applications, thus consolidating the concept of resource reuse. This conference deals with meaning and knowledge representation in the context of natural language understanding from the perspective of theoretical linguistics, computational linguistics, cognitive science, knowledge engineering, artificial intelligence, natural language processing, text analytics or linked data and semantic web technologies
