Reasoning and Unification over Conceptual Graphs by Dan Corbett

By Dan Corbett

Reasoning and Unification over Conceptual Graphs is an exploration of computerized reasoning and backbone within the increasing box of Conceptual buildings. Designed not just for computing scientists getting to know Conceptual Graphs, but in addition for someone drawn to exploring the layout of data bases, the publication explores what are proving to be the basic equipment for representing semantic relatives in wisdom bases. whereas it offers the 1st finished remedy of Conceptual Graph unification and reasoning, the ebook additionally addresses basic problems with graph matching, automatic reasoning, wisdom bases, constraints, ontology and layout. With quite a few examples, illustrations, and either formal and casual definitions and discussions, this ebook is great as an educational for the reader new to Conceptual Graphs, or as a reference e-book for a senior researcher in man made Intelligence, wisdom illustration or computerized Reasoning.

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Unification. Knowledge Structures and Constraints 3. 1 Overview of Feature Structures 33 Feature Structures are another graph-based knowledge representation scheme which also provides a formalism for representing partial information about the objects in the domain under consideration. Feature structures are therefore very similar to Conceptual Graphs, except that Feature Structures are basically simpler structures, and therefore generally more efficient in terms of computation and complexity. They also have a well-defined and very efficient unification algorithm.

The unification is therefore "Felix sat on mat number 47," as shown in Figure 13. Here, the more general concepts of "animal," "on," and "object" have been replaced by their more specific instances. This 45 Unification, Knowledge Structures and Constraints illustrates that unification is more than an external join, and is composed of several operations, including join. I cat: Felix animal I ~8 ~I ~8 ~I object mat: #471 mat: #471 Figure -/2. Is Felix on the mat? I cat: Felix ~8 ~I Figure -13. Felix is on the mat.

Unification here is the combining of pieces of knowledge in a domain, represented as Conceptual Graphs. We define unification as an operation that simultaneously determines the consistency of two pieces of partial or incomplete knowledge, and if they are consistent, combines them into a single result. In Feature Structures theory, it is important to know whether one is attempting to unify the intensions or the extensions of two Feature Structures (FS). Essentially, the intension of a Feature Structure is all of the attributes (or properties, or features) of a construct.

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