EFO：情绪框架本体
EFO: the Emotion Frame Ontology
AI总结：
本文提出基于语义框架、遵循模式设计并对齐 DOLCE 的 EFO 情绪本体，以模块化方式表示多种情绪理论，并通过 EFO-BE、文本检测和多模态数据整合验证其推理与应用能力。
摘要：
情绪是多个学科中激烈争论的主题。尽管理论和定义不断涌现，但对于情绪是什么，以及在谈论或分类情绪时如何建模所涉及的不同概念，仍未形成共识。本文提出一种基于框架的 OWL 情绪本体：Emotion Frames Ontology（EFO，情绪框架本体）。EFO 将情绪视为语义框架，并用一组语义角色捕捉情绪体验的不同方面。EFO 遵循基于模式的本体设计，并与 DOLCE 基础本体对齐。EFO 用于建模多种情绪理论，这些理论可作为模块在情绪本体网络中交叉链接。本文以将 Ekman 的 Basic Emotions（BE，基本情绪）理论建模为 EFO-BE 模块为例，展示如何对情绪情境表示执行自动推理。通过在 Framester 知识图谱中词汇化 BE 情绪框架，并实现一个基于图的文本情绪检测器，对 EFO-BE 进行了评估。此外，还完成了 EFO 对多模态数据集的整合，包括情绪语音和情绪面部表情，以支持对跨模态情绪语义的进一步研究。
英文摘要：
Emotions are a subject of intense debate in various disciplines. Despite the proliferation of theories and definitions, there is still no consensus on what emotions are, and how to model the different concepts involved when we talk about - or categorize - them. In this paper, we propose an OWL frame-based ontology of emotions: the Emotion Frames Ontology (EFO). EFO treats emotions as semantic frames, with a set of semantic roles that capture the different aspects of emotional experience. EFO follows pattern-based ontology design, and is aligned to the DOLCE foundational ontology. EFO is used to model multiple emotion theories, which can be cross-linked as modules in an Emotion Ontology Network. In this paper, we exemplify it by modeling Ekman's Basic Emotions (BE) Theory as an EFO-BE module, and demonstrate how to perform automated inferences on the representation of emotion situations. EFO-BE has been evaluated by lexicalizing the BE emotion frames from within the Framester knowledge graph, and implementing a graph-based emotion detector from text. In addition, an EFO integration of multimodal datasets, including emotional speech and emotional face expressions, has been performed to enable further inquiry into crossmodal emotion semantics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
