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Current progress in linguistic theorizing is more and more informed by cross-linguistic (including cross-modal) investigation. Comparison of languages relies crucially on the concepts that can be coded with similar effort in all languages. These concepts are part of every language user's ontology, the network of cross-connected conceptualizations the mind uses in coping with the world. Assuming that language comparability is rooted in the comparability of user ontologies, the idea of the present volume is to further instigate progress in linguistics by looking behind the interface with the conceptual-intentional system and asking a still underexplored question: How are ontological structures reflected in intra- and cross-linguistic regularities? This question defines the research program of ontology based linguistics or ontolinguistics. Recent advances in the theory of language have been characterized by an emphasis on external explanatory adequacy and thus on relating language to other phenomena. The research program introduced in this volume adds a decisively distinct and fresh aspect to this emerging new contextualization of the field by bringing together insights from different areas, mainly linguistics, but also neuroscience, philosophy, and artificial intelligence. In providing these disciplines with a new common task, the exploration of the impact of ontological structures on linguistic regularities, the ontolinguistic approach promises to develop into a vital branch of cognitive science. Documenting the beginnings, the book aims to instigate future interdisciplinary research in this area. It will be of interest to researchers in linguistics, artificial intelligence, philosophy, and cognitive science in general.

This book presents a unique approach to the semantics of verbs. It develops and specifies a decompositional representation framework for verbal semantics that is based on the Unified Modeling Language (UML), the graphical lingua franca for the design and modeling of object-oriented systems in computer science. The new framework combines formal precision with conceptual flexibility and allows the representation of very complicated details of verbal meaning, using a mixture of graphical elements as well as linearized constructs. Thereby, it offers a solution for different semantic problems such as context-dependency and polysemy. The latter, for instance, is demonstrated in one of the two well-elaborated applications of the framework within this book, the investigation of the polysemy of German setzen. Besides the formal specification of the framework, the book comprises a cognitive interpretation of important modeling elements, discusses general issues connected with the framework such as dynamic and static aspects of verbal meanings, questions of granularity, and general constraints applying to verbal semantics. Moreover, first steps towards a compositional semantics are undertaken, and a new verb classification based on this graphical approach is proposed. Since the framework is graphical in nature, the book contains many annotated figures, and the framework's modeling elements are illustrated by example diagrams. Not only scholars working in the field of linguistics, in particular in semantics, will find this book illuminating because of its new graphical approach, but also researchers of cognitive science, computational linguistics and computer science in general will surely appreciate it.