Titlebook: Conceptual Structures for Discovering Knowledge; 19th International C Simon Andrews,Simon Polovina,Babak Akhgar Conference proceedings 2011

cunning

Cognitive Architectures for Conceptual Structuresa refinement and extension of more primitive mechanisms of language and reasoning. The concluding section surveys the VivoMind Cognitive Architecture, which builds on and extends the original version presented in the CS book.

Traumatic-Grief

A Mapping from Conceptual Graphs to Formal Concept Analysisn. The approach is compared to that of Wille. An example is given of a simple University Transaction Model (TM) scenario that demonstrates how FCA can be applied to CGs, combining the power of each in an integrated and intuitive way.

Fillet,Filet

Evaluating the Transaction Graph through a Financial Trading Case Studyand syntactics. The paper demonstrates the reuse and refinement of a generic Transaction Model highlighting inference and logical operations with business rules. Additionally the paper demonstrates the reuse of the automated Transaction Model’s ontology coupled with its conceptual catalogue.

拔出

聪明

A Modeling Method and Declarative Language for Temporal Reasoning Based on Fluid Qualities declarative language, designed for representing and reasoning about time-dependent properties. The method is applicable in areas such as ubiquitous computing, allowing the specification of intelligent device behaviour.

legacy

Vldl379

dendrites

Akinson Tumbure,Sinikiwe Dube,Tonny P. Taurose trees (syntactic generalization) is applied to form commonalities between various search results for existing entities on the web. Taxonomy and syntactic generalization is applied to relevance improvement in search and text similarity assessment in commercial setting; evaluation results show substantial contribution of both sources.

变态

广口瓶

https://doi.org/10.1007/978-3-031-61810-9ide topics, or subtopics. If, at the lowest level, the subject matter of an ontology is characterized by the set of concepts of the ontology, a topic is a “coherent” subset of those concepts. Different forms of modularity induce different, more or less cognitively helpful, notions of coherence and thus distinct topical structures.