Ontologies and Lexical Resources for Natural Language Processing

s of Chapters in the Book I. Fundamental Aspects I.1. The Lexical Representation of Knowledge: A multi-disciplinary perspective Editors This an original overview paper by the editors that establish the frame of reference for research on NLP using ontology and lexical resources. In essence, we adopt a mental lexicon approach where knowledge is lexically represented and accessed. Hence lexical resources represent the repertoire of human knowledge, while ontology imposes a structure for representation and reasoning. We will lay out the ground for the issues to be discussed in the book: -How knowledge is captured and represented by ontologies How can lexical knowledge be converted to ontological knowledge How can ontological representations be verified/enhanced by lexical knowledge, -How can ontological knowledge be applied to NLP This overview paper will conclude with a road map for future research on the synergy of ontology and lexical resources. I.2. SUMO and WordNet Adam Pease and Christiane Fellbaum I.3. DOLCE and Wordnet Stefano Borgo, Aldo Gangemi, and Alessandro Oltramari I.4. FrameNet and SUMO Jan Scheffczyk, Collin F. Baker, Srini Narayanan I.5 A roadmap for the ontologies lexical resources interface Aldo Gangemi, Alessandro Oltramari The OntoLex approach relies crucially on a comprehensive and well-structure lexical representation of knowledge. Hence, all the fundamental work in this field starts with synergizing a ontology and a lexical resources. The ontology chosen must be well-construed and robust, while the lexical resources must be comprehensive intra-linguistically and robust enough to allow inter-lingual exchanges. We will introduce two of the most widely used ontology, with special emphasize on how they synergize with the most commonly used lexical resources: WordNet. I.2.