Creative AI: A new avenue for the Semantic Web?
Creative AI: A new avenue for the Semantic Web?
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DOI：
10.3233/sw-190377
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发表时间：
2020-01-01
期刊：
影响因子：
3
通讯作者：
Lawrynowicz, Agnieszka
中科院分区：
文献类型：
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作者：
Lawrynowicz, Agnieszka
计算创造力（或人工创造力）是一个多学科领域，研究如何构建计算机程序来建模，模拟，展示或增强创造性行为。这篇愿景论文探讨了语义网及其技术在创造性人工智能中的潜力。语义网和语义技术的可能用途进行了讨论，关于三种类型的创造力：i）探索性的创造力，ii）组合的创造力，和iii）转型的创造力和相关的研究问题。对于探索性的创造力，我们如何探索可能的极限，同时保持由一组现有的领域公理，模板和规则，用语义技术表达的约束？为了实现组合创造力，我们如何联合收割机或混合现有的概念、框架、本体设计模式和其他构造，并从交叉施肥中受益？最终，我们是否可以使用本体和知识图来描述现有的领域及其约束，并应用转换创造力的元规则，开始删除约束并添加新的约束来产生新的工件？连同这些新的挑战，本文还提供了指针，新兴的和不断增长的应用领域的语义Web相关的计算创造力：从配方生成的科学发现和创造性的设计。
Computational Creativity (or artificial creativity) is a multidisciplinary field, researching how to construct computer programs that model, simulate, exhibit or enhance creative behaviour. This vision paper explores a potential of the Semantic Web and its technologies for creative AI. Possible uses of the Semantic Web and semantic technologies are discussed, regarding three types of creativity: i) exploratory creativity, ii) combinational creativity, and iii) transformational creativity and relevant research questions. For exploratory creativity, how can we explore the limits of what is possible, while remaining bound by a set of existing domain axioms, templates, and rules, expressed with semantic technologies? To achieve a combinational creativity, how can we combine or blend existing concepts, frames, ontology design patterns, and other constructs, and benefit from cross-fertilization? Ultimately, can we use ontologies and knowledge graphs, which describe an existing domain with its constraints and, applying a meta-rule for transformational creativity, start dropping constraints and adding new constraints to produce novel artifacts? Together with these new challenges, the paper also provides pointers to emerging and growing application domains of Semantic Web related to computational creativity: from recipe generation to scientific discovery and creative design.