Knowledge Graph Dataset for Semantic Enrichment of Picture Description in NAPS Database

IF 2.7 3区物理与天体物理 Q2 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL

Atomic Data and Nuclear Data Tables Pub Date : 2023-08-24 DOI:10.3390/data8090136

M. Horvat, G. Gledec, Tomislav Jagušt, Z. Kalafatić

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引用次数: 0

Abstract

This data description introduces a comprehensive knowledge graph (KG) dataset with detailed information about the relevant high-level semantics of visual stimuli used to induce emotional states stored in the Nencki Affective Picture System (NAPS) repository. The dataset contains 6808 systematically manually assigned annotations for 1356 NAPS pictures in 5 categories, linked to WordNet synsets and Suggested Upper Merged Ontology (SUMO) concepts presented in a tabular format. Both knowledge databases provide an extensive and supervised taxonomy glossary suitable for describing picture semantics. The annotation glossary consists of 935 WordNet and 513 SUMO entities. A description of the dataset and the specific processes used to collect, process, review, and publish the dataset as open data are also provided. This dataset is unique in that it captures complex objects, scenes, actions, and the overall context of emotional stimuli with knowledge taxonomies at a high level of quality. It provides a valuable resource for a variety of projects investigating emotion, attention, and related phenomena. In addition, researchers can use this dataset to explore the relationship between emotions and high-level semantics or to develop data-retrieval tools to generate personalized stimuli sequences. The dataset is freely available in common formats (Excel and CSV).

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基于aps数据库的图片描述语义丰富的知识图谱数据集

该数据描述介绍了一个全面的知识图(KG)数据集，其中包含有关用于诱导存储在Nencki情感图片系统(NAPS)存储库中的情绪状态的视觉刺激的相关高级语义的详细信息。该数据集包含5个类别的1356张nap图片的6808个系统手动分配的注释，链接到WordNet同义词集和以表格形式呈现的建议的上层合并本体(SUMO)概念。这两个知识数据库都提供了广泛的、受监督的分类术语表，适合描述图片语义。注释术语表由935个WordNet和513个SUMO实体组成。还提供了数据集的描述以及用于收集、处理、审查和将数据集作为开放数据发布的具体过程。该数据集的独特之处在于，它以高质量的知识分类法捕获了复杂的对象、场景、动作和情感刺激的整体背景。它为各种研究情感、注意力和相关现象的项目提供了宝贵的资源。此外，研究人员可以使用该数据集来探索情绪与高级语义之间的关系，或开发数据检索工具来生成个性化的刺激序列。该数据集以常用格式(Excel和CSV)免费提供。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Atomic Data and Nuclear Data Tables 物理-物理：核物理

CiteScore

4.50

自引率

11.10%

发文量

审稿时长

47 days

期刊介绍： Atomic Data and Nuclear Data Tables presents compilations of experimental and theoretical information in atomic physics, nuclear physics, and closely related fields. The journal is devoted to the publication of tables and graphs of general usefulness to researchers in both basic and applied areas. Extensive ... click here for full Aims & Scope Atomic Data and Nuclear Data Tables presents compilations of experimental and theoretical information in atomic physics, nuclear physics, and closely related fields. The journal is devoted to the publication of tables and graphs of general usefulness to researchers in both basic and applied areas. Extensive and comprehensive compilations of experimental and theoretical results are featured.