This volume contains revised and expanded versions of papers
presented at the Seventh Annual Workshop on Conceptual
Graphs, held at New Mexico State University in Las Cruces,
and sponsored by the American Association for Artificial
Intelligence and the NMSU Computer Science Department. The
contents of the volume fall in the areas of representation
issues, reasoning, data modeling and databases, algorithms
and tools, and applications and natural language. One of the
highlights reported in the volume is the landmark meeting
of the first PEIRCE Project Workshop. The PEIRCE Project
aims to build a state-of-the-art, industrial strength
conceptual graphs workbench.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-3-540-57454-5 (9783540574545)
DOI
Schweitzer Klassifikation
The scope of coreference in conceptual graphs.- Using world structures for factoring knowledge.- Sharing knowledge: Starting with the integration of vocabularies.- A conceptual graphs approach to information systems design.- Representing knowledge about substances.- Representing temporal knowledge in discourse: an approach extending the conceptual graph theory.- Towards a semantics of inchoative and causation events in conceptual graphs.- Does every difference make difference?.- An exploration into semantic distance.- A reconstruction of conceptual graphs on top of a production system.- On uncertainty handling in plausible reasoning with conceptual graphs.- Expert humans and expert systems: Toward a unity of uncertain reasoning.- Knowledge fusion.- Using conceptual structures to translate data models: Concepts, context and cognitive processes.- Towards deductive object-oriented databases based on conceptual graphs.- AERIE: Database inference modeling and detection using conceptual graphs.- The birth of PEIRCE: A conceptual graphs workbench.- Specialization: Where do the difficulties occur?.- Polynomial algorithms for projection and matching.- CGMA: A novel conceptual graph matching algorithm.- An X-Windows toolkit for knowledge acquisition and representation based on conceptual structures.- Assembly of conceptual graphs from natural language by means of multiple knowledge specialists.- A system that translates conceptual structures into English.- Knowledge based analysis of radiology reports using conceptual graphs.- Open systems interconnection abstract syntax notation: ASN.CG.- Bridging accounting and business strategic planning using conceptual graphs.- Skeletal plans reuse: A restricted conceptual graph approach.
