Maya Hickmann

Laure Vieu

Michel Aurnague

Despite a growing interest for space in language, most research has focused on spatial markers specifying the static or dynamic relationships among entities (verbs, prepositions, postpositions, case markings ). Little attention has been paid to the very properties of spatial entities, their status in linguistic descriptions, and their implications for spatial cognition and its development in children. This topic is at the center of this book, that opens a new field by sketching some major theoretical and methodological directions for future research on spatial entities. Brought together linguistic descriptions of spatial systems, formal accounts of linguistic data, and experimental findings from psycholinguistic studies, all couched within a wide cross-linguistic perspective. Such an interdisciplinary approach provides a rich overview of the many questions that remain unanswered in relation to spatial entities, while also throwing a new light on previous research focusing on related topics concerning space and/or the relation between language and cognition.

The Categorization of Spatial Entities in Language and Cognition

Thomas R. Roth-Berghofer

Daniel C. Richardson

Boicho Kokinov

Here are the refereed proceedings of the 6th International and Interdisciplinary Conference on Modeling and Using Context. The 42 papers deal with the interdisciplinary topic of modeling and using context from various perspectives, including computer science, artificial intelligence, cognitive science, linguistics, organizational science, philosophy, and psychology. In addition, readers discover applications in areas such as medicine and law.

6th International and Interdisciplinary Conference, CONTEXT 2007, Roskilde, Denmark, August 20-24, 2007, Proceedings

Modeling and Using Context

Achille C. Varzi

Just as ontology developed over the centuries as part of philosophy, so in recent years ontology has become intertwined with the development of the information sciences. Researchers in such areas as artificial intelligence, formal and computational linguistics, biomedical informatics, conceptual modeling, knowledge engineering and information retrieval have come to realize that a solid foundation for their research calls for serious work in ontology, understood as a general theory of the types of entities and relations that make up their respective domains of inquiry. In all these areas, attention has started to focus on the content of information rather than on just the formats and languages in terms of which information is represented. A clear example of this development is provided by the many initiatives growing up around the project of the Semantic Web. And as the need for integrating research in these different fields arises, so does the realization that strong principles for building well-founded ontologies might provide significant advantages over ad hoc, case-based solutions. The tools of Formal Ontology address precisely these needs, but a real effort is required in order to apply such philosophical tools to the domain of Information Systems. Reciprocally, research in the information science raises specific ontological questions which call for further philosophical investigations.

Proceedings of the Third International Conference (FOIS-2004)

Formal Ontology in Information Systems

Myriam Bras

This volume addresses contemporary issues in the semantics and the pragmatics of discourse and dialogue. Collected papers aim at providing insights on different theoretical approaches, all of them in the dynamic semantics tradition, such as Dynamic Predicate Logic (DPL).

Laure Vieu

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