In order to exchange knowledge, humans need to share a common lexicon of
words as well as
to access the world models underlying that lexicon. What is a natural
process for a human turns out to be an extremely hard task for a
machine: computers can't represent knowledge as effectively as humans
do, which hampers, for example, meaning disambiguation and
communication. Applied ontologies and NLP have been developed to face
these challenges. Integrating ontologies with (possibly multilingual)
lexical resources is an essential requirement to make human language
understandable by machines, and also to enable interoperability and
computability across information systems and, ultimately, in the Web.
This book explores recent advances in the integration of ontologies and
lexical resources, including questions such as building the required
infrastructure (e.g., the Semantic Web) and different formalisms,
methods and platforms for eliciting, analyzing and encoding knowledge
contents (e.g., multimedia, emotions, events, etc.). The contributors
look towards next-generation technologies, shifting the focus from the
state of the art to the future of Ontologies and Lexical Resources. This
work will be of interest to research scientists, graduate students, and
professionals in the fields of knowledge engineering, computational
linguistics, and semantic technologies.