Subjects: Library Science，Information Science >> Indexing and Cataloging submitted time 2024-01-10 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/significance］Introducing landscape imagery into the field of poetry and constructing a knowledge graph can help refine the granularity of poem resources in the digital humanities domain while expanding the breadth of digital humanities research in poem. ［Method/process］ Facing landscape poetry, this paper takes Parrot Island poetry as the specific case object, constructs its ontology model and knowledge graph, semantically correlates landscape poetry knowledge through multiple dimensions such as poetry, landscape, characters, space, time, and events, and visualizes the semantic relationship of knowledge graph, so as to realize the knowledge discovery research of Parrot Island poetry. ［Result/conclusion］ By conducting empirical research through case studies in this paper, we demonstrate that constructing a knowledge graph for landscape poem not only facilitates the standardized and systematic organization of poem resources but also enables deeper exploration of poem contents. Furthermore, it provides valuable insights for the development of regional distinctive resources, with poem being representative of such resources.
Subjects: Library Science，Information Science >> Indexing and Cataloging submitted time 2023-11-07 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/significance］The use of digital technology to empower the in-depth excavation of intangible cultural heritage resources and reveal the correlation between intangible cultural heritage resources in the Yellow River Basin is of great significance to the protection and inheritance of intangible cultural heritage in the Yellow River Basin.［Method/process］Taking the intangible cultural heritage resources of the Yellow River Basin as the research object, the knowledge graph of the intangible cultural heritage resources in the Yellow River Basin was constructed in a top-down manner, and an intelligent question and answer system with user interaction as the core was constructed.［Result/conclusion］The intelligent question-and-answer system of intangible cultural heritage resources in the Yellow River Basin based on knowledge graph constructed in this study realizes the multi-dimensional knowledge discovery of intangible cultural heritage resources in the Yellow River Basin, and provides new ideas for the related research of intangible cultural heritage resources.
Subjects: Library Science，Information Science >> Indexing and Cataloging submitted time 2023-11-07 Cooperative journals: 《文献与数据学报》
Abstract： ［Purpose/significance］To sort out the development and evolution of disciplinary classification,analyze and compare the thematic positioning of individual literature using the CWTS, Citation Topics, and Dimensions systems, and provide reference for academic evaluation using the research topic of individual papers for disciplinary positioning. ［Method/process］Analyze and compare the principles and construction methods of the three systems. Taking a research paper from a psychological college of a certain university as the research object, compare and analyze its subject topic classification in the three systems. Combined with the subject classification of the paper in WOS, analyze the subject theme of the paper. ［Result/conclusion］Each of the three classification systems has its advantages and disadvantages. CWTS topic classification has a finer granularity and provides dynamic graphs. Citation Topics facilitate the export and further analysis of topic literature. The sources and types of literature included in Dimensions are relatively comprehensive and extensive. CWTS is better at describing topics than Citation Topics, as Citation Topics may not necessarily accurately position the subject topic of the paper. The granularity of topic positioning in Dimensions is relatively broad. The disciplinary positioning of the research topic of the paper needs to be combined with multiple disciplinary classification systems, and a comprehensive judgment should be made from the content,references, and cited literature of the paper.
Subjects: Library Science，Information Science >> Indexing and Cataloging Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2016-04-28
Abstract：[目的]拓展以物种为中心的生物多样性知识抽取框架，探索实现语义知识抽取方法。[方法]结合当前生物多样性抽取的主流研究，以物种为中心，设计包含多种实体及实体间关系的知识抽取框架，利用已有的众多专业数据库，设计并实现相应的识别方法。[结果]设计了以物种为核心的知识抽取框架，探索实现了多种实体及实体间关系的语义知识抽取方法，拓展了生物多样性领域抽取内容和思路。[局限]本研究实体识别的完整性和准确性受底层知识库影响较大，且实体间关系的类型局限于共现、上下位类、语法关系几类，还需进一步研究。[结论] 拓展了生物多样性领域抽取内容和思路，可有效支持后续的语义检索、科学计算。
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