Re: Graph Structures for Knowledge Representation and Reasoning

You may also want to look at:https://www.quantamagazine.org/how-big-data-carried-graph-theory-into-new-dimensions-20210819/
Milton Ponson
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Project Paradigm: Bringing the ICT tools for sustainable development to all stakeholders worldwide through collaborative research on applied mathematics, advanced modeling, software and standards development 

    On Monday, August 23, 2021, 02:31:42 AM GMT-4, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
 
 Suggested summer read   Graph Structuresfor Knowledge Representationand Reasoning  

From https://link.springer.com/content/pdf/10.1007%2F978-3-030-72308-8.pdf
 The development of effective techniques for knowledge representation and reasoning(KRR) is a crucial aspect of successful intelligent systems. Different representationparadigms, as well as their use in dedicated reasoning systems, have been extensivelystudied in the past. Nevertheless, new challenges, problems, and issues have emergedin the context of knowledge representation in Artificial Intelligence (AI), involving thelogical manipulation of increasingly large information sets (see for example SemanticWeb, BioInformatics, and so on). Improvements in storage capacity and performanceof computing infrastructure have also affected the nature of KRR systems, shifting theirfocus towards representational power and execution performance. Therefore, KRRresearch is faced with the challenge of developing knowledge representation structuresoptimized for large-scale reasoning. This new generation of KRR systems includesgraph-based knowledge representation formalisms such as Constraint Networks (CNs),Bayesian Networks (BNs), Semantic Networks (SNs), Conceptual Graphs (CGs),Formal Concept Analysis (FCA), CP-nets, GAI-nets, and Argumentation Frameworks,all of which have been successfully used in a number of applications. The goal of theworkshop series on Graph Structures for Knowledge Representation and Reasoning(GKR) is to bring together researchers involved in the development and application ofgraph-based knowledge representation formalisms and reasoning techniques.