Conceptual graphs for knowledge representation : First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993 : proceedings
Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, f...
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| Yhteisötekijä: | |
| Muut tekijät: | , |
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Sarja: | Lecture notes in computer science. Lecture notes in artificial intelligence
699 |
| Aiheet: | |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Conceptual graphs for knowledge representation, First International Conference on Conceptual Structures, ICCS'93, Quebec City, Canada, August 4-7, 1993, proceedings, Guy W. Mineau, Bernard Moulin, John F. Sowa (eds.), Berlin, Springer, 1993, 1 vol. (IX-451 p.), Lecture notes in computer science, 3-540-56979-0 • Conceptual Graphs for Knowledge Representation, Texte imprimé, 9783662173466 |
Sisällysluettelo:
- Relating diagrams to logic
- Representation, discourse, logic and truth: Situating knowledge technology
- Heterogeneous reasoning
- A comparison between conceptual graphs and KL-ONE
- The term definition operators of ontolingua and of the conceptual graph formalism: a comparison
- Implementing conceptual graphs in a RDBMS
- A conceptual graphs approach to conceptual schema integration
- Conceptual graphs for relational Databases
- Inducing a CG representation for basic-level categorization of verbs
- The representation of linguistic information in an approach used for modelling temporal knowledge in discourses
- Representing natural language causality in Conceptual Graphs: The Higher order conceptual relation problem
- Executable conceptual structures
- Inverting resolution with conceptual graphs
- Towards domain-independent machine intelligence
- Efficient retrieval from hierarchies of objects using lattice operations
- Characterization and algorithmic recognition of canonical conceptual graphs
- A conceptual semantics ontology for conceptual graphs
- Acquiring temporal knowledge from schedules
- Conceptual structures for modeling in CIM
- Elicitation of taxonomies based on the use of conceptual graph operators
- Presenting a peirce logic based inference engine and theorem prover for conceptual graphs
- Operations on conceptual structures and Peirce's system of existential graphs
- Modal logics for conceptual graphs
- Fuzzy conceptual graphs.

