Oracle bone inscriptions (OBI) has important historical and cultural values. The traditional OBI research methods are at a choke point, and the research method using computer science and information technology has ope...Oracle bone inscriptions (OBI) has important historical and cultural values. The traditional OBI research methods are at a choke point, and the research method using computer science and information technology has opened up the way of OBI information processing. However, it faces some problems, such as large but not centralized knowledge system, long learning cycle, learning difficulties, being difficult to obtain resources, inconsistent format, low retrieval accuracy, and low knowledge sharing and reuse. To solve these problems, it designs an OBI big data research resource management and intelligent knowledge service platform. Its goal is to make full use of OBI big data characteristics and use the knowledge engineering technology to build an OBI knowledge ecosystem. The experiment results show that the platform proposed provides effective one-stop knowledge management and knowledge service.展开更多
The detection of Oracle Bone Inscriptions (OBIs) is one of the most fundamental tasks in the study of Oracle Bone, which aims to locate the positions of OBIs on rubbing images. The existing methods are based on the sc...The detection of Oracle Bone Inscriptions (OBIs) is one of the most fundamental tasks in the study of Oracle Bone, which aims to locate the positions of OBIs on rubbing images. The existing methods are based on the scheme of anchor boxes, involving complex network design and a great number of anchor boxes. In order to overcome the problem, this paper proposes a simpler but more effective OBIs detector by using an anchor-free scheme, where shape-adaptive Gaussian kernels are employed to represent the spatial regions of different OBIs. More specifically, to address the problem of misdetection caused by regional overlapping between some tightly distributed OBIs, the character regions are simultaneously represented by multiscale Gaussian kernels to obtain regions with sharp edges. Besides, based on the kernel predictions of different scales, a novel post-processing pipeline is used to obtain accurate predictions of bounding boxes. Experiments show that our OBIs detector has achieved significant results on the OBIs dataset, which greatly outperforms several mainstream object detectors in both speed and efficiency. Dataset is available at http://jgw.aynu.edu.cn.展开更多
The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient...The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient times.The ancient Luo Yue stone inscription1 is a popular ancient script from four to six thousand years ago,and 17,496 characters have been found,which is the earliest script found on the Chinese land so far.A comparative study of Chinese zodiac characters2 between the ancient Luo Yue stone inscriptions and the oracle bone through paleographic conformation reveals that the two characters have the same and similar characteristics.Therefore,this paper intends to further investigate the kinship between the two,and to conduct a preliminary exploration of the origin,development,and evolution of the zodiac by combining recent human archaeological data,emerging molecular anthropological data,historical literature,and data from the Chinese Civilization Exploration Project,in an attempt to show the integration and dependence of Chinese civilization,the pluralistic pattern of Chinese culture,and the Chinese nation for thousands of years.展开更多
甲骨残片缀合一直是甲骨学研究中最急迫最具基础性的工作,它使得甲骨残片经过拼接,复原为更加完整的原始材料.尽管前人及同行曾提出若干计算机辅助的甲骨缀合方法,但这些方法缀合准确度不足,未能真正投入使用,并不能真正帮助专家解决甲...甲骨残片缀合一直是甲骨学研究中最急迫最具基础性的工作,它使得甲骨残片经过拼接,复原为更加完整的原始材料.尽管前人及同行曾提出若干计算机辅助的甲骨缀合方法,但这些方法缀合准确度不足,未能真正投入使用,并不能真正帮助专家解决甲骨缀合问题,导致当前的甲骨缀合工作仍旧依靠人工、依旧费时费力.为了更好地研究甲骨残片的机器缀合问题,本文使用一个较大规模甲骨缀合基准数据集OB-Rejoin,该数据集包含了约一千幅甲骨拓片图像,且融入了大量的甲骨学界已缀成果,用于算法评估.基于该数据集,本文设计了一种基于斜率变化量序列匹配的甲骨缀合算法(Slope United Sequence Matching for Oracle Bone Fragments Conjugation,SUM),该方法将甲骨残片的断边碴口图像匹配问题转化为数值型的序列数据和序列相似性比对问题,以将尚不够非常精密的计算机视觉领域的碴口图像匹配问题转换为数据科学领域较为成熟的序列数据相似性匹配问题.SUM将数值型的碴口序列数据进一步转换为斜率变化量序列和字符序列数据,最后利用字符序列的模糊匹配完成甲骨残片的碴口匹配.在实验环节,SUM算法与经典的序列相似性计算方法在精确率、召回率、漏检率方面进行了对比,并与两个较新的基于深度学习的序列匹配算法和形状匹配算法进行了性能对比.整体而言,SUM在OB-Rejoin数据集上的Top-15缀合召回率达到了95.181%,超越了对比算法.重要出土文献的精准复原本身是历史学和古文字研究中客观存在的重大现实需求,具有重要的史学价值和意义,因此,本文的研究成果,不但有助于解决甲骨残片的机器缀合问题,还对秦汉简牍和敦煌遗书等重要出土文献的精准复原具有重要的参考价值.展开更多
基金the National Natural Science Foundation of China (No. U1504612, 61806007, U1804153)the National Language Committee scientific research projects of China (No. YWZ-J023, YB135-50)+1 种基金the Development Projects of Henan Province Science and Technology (No. 182102310039)the Science and Technology Key Project of Henan Province Education Department (No. 17A520002).
文摘Oracle bone inscriptions (OBI) has important historical and cultural values. The traditional OBI research methods are at a choke point, and the research method using computer science and information technology has opened up the way of OBI information processing. However, it faces some problems, such as large but not centralized knowledge system, long learning cycle, learning difficulties, being difficult to obtain resources, inconsistent format, low retrieval accuracy, and low knowledge sharing and reuse. To solve these problems, it designs an OBI big data research resource management and intelligent knowledge service platform. Its goal is to make full use of OBI big data characteristics and use the knowledge engineering technology to build an OBI knowledge ecosystem. The experiment results show that the platform proposed provides effective one-stop knowledge management and knowledge service.
文摘The detection of Oracle Bone Inscriptions (OBIs) is one of the most fundamental tasks in the study of Oracle Bone, which aims to locate the positions of OBIs on rubbing images. The existing methods are based on the scheme of anchor boxes, involving complex network design and a great number of anchor boxes. In order to overcome the problem, this paper proposes a simpler but more effective OBIs detector by using an anchor-free scheme, where shape-adaptive Gaussian kernels are employed to represent the spatial regions of different OBIs. More specifically, to address the problem of misdetection caused by regional overlapping between some tightly distributed OBIs, the character regions are simultaneously represented by multiscale Gaussian kernels to obtain regions with sharp edges. Besides, based on the kernel predictions of different scales, a novel post-processing pipeline is used to obtain accurate predictions of bounding boxes. Experiments show that our OBIs detector has achieved significant results on the OBIs dataset, which greatly outperforms several mainstream object detectors in both speed and efficiency. Dataset is available at http://jgw.aynu.edu.cn.
文摘The 12 animal calendars of the Chinese zodiac are the essence and source of Chinese civilization,and have been deeply rooted in the production,life,and social activities of various ethnic groups in China since ancient times.The ancient Luo Yue stone inscription1 is a popular ancient script from four to six thousand years ago,and 17,496 characters have been found,which is the earliest script found on the Chinese land so far.A comparative study of Chinese zodiac characters2 between the ancient Luo Yue stone inscriptions and the oracle bone through paleographic conformation reveals that the two characters have the same and similar characteristics.Therefore,this paper intends to further investigate the kinship between the two,and to conduct a preliminary exploration of the origin,development,and evolution of the zodiac by combining recent human archaeological data,emerging molecular anthropological data,historical literature,and data from the Chinese Civilization Exploration Project,in an attempt to show the integration and dependence of Chinese civilization,the pluralistic pattern of Chinese culture,and the Chinese nation for thousands of years.
文摘甲骨残片缀合一直是甲骨学研究中最急迫最具基础性的工作,它使得甲骨残片经过拼接,复原为更加完整的原始材料.尽管前人及同行曾提出若干计算机辅助的甲骨缀合方法,但这些方法缀合准确度不足,未能真正投入使用,并不能真正帮助专家解决甲骨缀合问题,导致当前的甲骨缀合工作仍旧依靠人工、依旧费时费力.为了更好地研究甲骨残片的机器缀合问题,本文使用一个较大规模甲骨缀合基准数据集OB-Rejoin,该数据集包含了约一千幅甲骨拓片图像,且融入了大量的甲骨学界已缀成果,用于算法评估.基于该数据集,本文设计了一种基于斜率变化量序列匹配的甲骨缀合算法(Slope United Sequence Matching for Oracle Bone Fragments Conjugation,SUM),该方法将甲骨残片的断边碴口图像匹配问题转化为数值型的序列数据和序列相似性比对问题,以将尚不够非常精密的计算机视觉领域的碴口图像匹配问题转换为数据科学领域较为成熟的序列数据相似性匹配问题.SUM将数值型的碴口序列数据进一步转换为斜率变化量序列和字符序列数据,最后利用字符序列的模糊匹配完成甲骨残片的碴口匹配.在实验环节,SUM算法与经典的序列相似性计算方法在精确率、召回率、漏检率方面进行了对比,并与两个较新的基于深度学习的序列匹配算法和形状匹配算法进行了性能对比.整体而言,SUM在OB-Rejoin数据集上的Top-15缀合召回率达到了95.181%,超越了对比算法.重要出土文献的精准复原本身是历史学和古文字研究中客观存在的重大现实需求,具有重要的史学价值和意义,因此,本文的研究成果,不但有助于解决甲骨残片的机器缀合问题,还对秦汉简牍和敦煌遗书等重要出土文献的精准复原具有重要的参考价值.
