Graph Structures for Knowledge Representation and Reasoning
Editorial: Springer Nature
Licencia: Creative Commons (by)
Autor(es): Cochez, Michael; [et al.]
The development of effective techniques for knowledge representation and reasoning
(KRR) is a crucial aspect of successful intelligent systems. Different representation
paradigms, as well as their use in dedicated reasoning systems, have been extensively
studied in the past. Nevertheless, new challenges, problems, and issues have emerged
in the context of knowledge representation in Artificial Intelligence (AI), involving the
logical manipulation of increasingly large information sets (see for example Semantic
Web, BioInformatics, and so on). Improvements in storage capacity and performance
of computing infrastructure have also affected the nature of KRR systems, shifting their
focus towards representational power and execution performance.
[Cham: 2021]
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