This volume contains revised and expanded versions of paperspresented at the Seventh Annual Workshop on ConceptualGraphs, held at New Mexico State University in Las Cruces,and sponsored by the American Association for ArtificialIntelligence and the NMSU Computer Science Department. Thecontents of the volume fall in the areas of representationissues, reasoning, data modeling and databases, algorithmsand tools, and applications and natural language. One of thehighlights reported in the volume is the landmark meetingof the first PEIRCE Project Workshop. The PEIRCE Projectaims to build a state-of-the-art, industrial strengthconceptual graphs workbench.…mehr
This volume contains revised and expanded versions of paperspresented at the Seventh Annual Workshop on ConceptualGraphs, held at New Mexico State University in Las Cruces,and sponsored by the American Association for ArtificialIntelligence and the NMSU Computer Science Department. Thecontents of the volume fall in the areas of representationissues, reasoning, data modeling and databases, algorithmsand tools, and applications and natural language. One of thehighlights reported in the volume is the landmark meetingof the first PEIRCE Project Workshop. The PEIRCE Projectaims to build a state-of-the-art, industrial strengthconceptual graphs workbench.
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.
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.
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