Semantic relations are at the core of any representational system, and are
keys to enable the next generation of information processing systems with
semantic and reasoning capabilities. Acquisition, description, and
formalization of semantic relations are fundamentals in computer-based
systems where natural language processing is required. Probing Semantic
Relations provides a state of the art of current research trends in the
area of knowledge extraction from text using linguistic patterns.
First published as a Special Issue of Terminology 14:1 (2008), the
current book emphasizes how definitional knowledge is conveyed by
conceptual and semantic relations such as synonymy, causality, hypernymy
(generic–specific), and meronymy (part–whole). Showing the difficulties and
successes of pattern-based approaches, the book illustrates current and
future challenges in knowledge acquisition from text.
This book provides new perspectives to researchers and practitioners in
terminology, knowledge engineering, natural language processing, and