The difficulty of attributing subject to editorial cartoons for indexing purposes exists both for traditional paper-based cartoon formats and for digitized or born-digital cartoons. This paper presents a selective review of literature on indexing editorial cartoons and the associated challenges.,A gap exists in published research on indexing collections of editorial cartoons for online search and retrieval. This paper presents a review of selected works that specifically address the topic of editorial cartoon indexing within a wider context of research that addresses image indexing, subject analysis and indexing challenges more generally. Works that address the interpretation of cartoons by readers and how readers respond to information communicated by editorial cartoons are also considered.,Cartoon controversies in transnational and multicultural contexts, experienced through the international news media since 2000, have dramatically increased research attention and publications in this area. Profound changes in media publication since the advent of the Internet have had an impact on editorial cartoonists and cartoon publishing. Subject indexing of editorial cartoons remains a challenge.,The potential for large indexed cartoon collections to be data-mined for topic modeling for research in the social sciences points to the need for indexers of cartoon collections to improve metadata standards and structures to allow improved access to cartoon metadata for computational analysis.,This paper places discussion of the technical challenges facing indexers of editorial cartoons within a broader context of discussions about the nature and future of editorial cartooning in rapidly changing media and publishing environments.

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编辑卡通集：索引挑战的回顾

传统的基于纸的卡通格式和数字化或天生数字卡通都存在为索引目的而归因于编辑卡通的困难。本文提供了有关对编辑漫画进行索引的文献的选择性综述以及相关的挑战。在对用于在线搜索和检索的编辑漫画的索引集合进行的已发表研究中，存在差距。本文介绍了精选作品的评论，这些作品在更广泛的研究范围内专门解决了编辑卡通索引的主题，该研究更广泛地解决了图像索引，主题分析和索引挑战。还考虑了涉及读者对漫画的解释以及读者如何回应社论漫画传达的信息的作品。自2000年以来，通过国际新闻媒体经历的跨国和多元文化背景下的卡通争议极大地增加了该领域的研究关注和出版物。自互联网问世以来，媒体出版业发生了深刻的变化，对社论漫画家和漫画出版业产生了影响。编辑漫画的主题索引仍然是一个挑战。对于社会科学领域的主题建模，可能需要对大型索引的漫画集进行数据挖掘以挖掘其主题模型的潜力，这表明需要漫画集的索引器来改善元数据的标准和结构以允许更好的访问卡通元数据以进行计算分析。，