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Graph-based Knowledge Representation - Computational Foundations of Conceptual Graphs (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Loot Price: R3,138
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Graph-based Knowledge Representation - Computational Foundations of Conceptual Graphs (Paperback, Softcover reprint of hardcover 1st ed. 2009)
Series: Advanced Information and Knowledge Processing
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This book provides a de?nition and study of a knowledge
representation and r- soning formalism stemming from conceptual
graphs, while focusing on the com- tational properties of this
formalism. Knowledge can be symbolically represented in many ways.
The knowledge representation and reasoning formalism presented here
is a graph formalism - knowledge is represented by labeled graphs,
in the graph theory sense, and r- soning mechanisms are based on
graph operations, with graph homomorphism at the core. This
formalism can thus be considered as related to semantic networks.
Since their conception, semantic networks have faded out several
times, but have always returned to the limelight. They faded mainly
due to a lack of formal semantics and the limited reasoning tools
proposed. They have, however, always rebounded - cause labeled
graphs, schemas and drawings provide an intuitive and easily und-
standable support to represent knowledge. This formalism has the
visual qualities of any graphic model, and it is logically founded.
This is a key feature because logics has been the foundation for
knowledge representation and reasoning for millennia. The authors
also focus substantially on computational facets of the presented
formalism as they are interested in knowledge representation and
reasoning formalisms upon which knowledge-based systems can be
built to solve real problems. Since object structures are graphs,
naturally graph homomorphism is the key underlying notion and, from
a computational viewpoint, this moors calculus to combinatorics and
to computer science domains in which the
algorithmicqualitiesofgraphshavelongbeenstudied,
asindatabasesandconstraint networks
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