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IPKB: A Digital Library for Invertebrate Paleontology

机译:IPKB:无脊椎动物古生物学数字图书馆

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In this paper, we present the Invertebrate Paleontology Knowl-edgebase (IPKB). an effort to digitize and share the Trea-tise on Invertebrate Paleontology. The Treatise is the most authoritative compilation of invertebrate fossil records. Unfortunately, the PDF version is simply a clone of paper publications and the content is in no way organized to facilitate search and knowledge discovery. We extracted texts and images from the Treatise, stored them in a database, and built a system for efficient browsing and searching. For image processing in particular, we segmented fossil photos from figures, recognized the embedded labels, and linked the images to the corresponding data entries. The detailed information of each genus, including fossil images, is delivered to users through a web access module. Some external applications (e.g. Google Earth) are acquired through web services APIs to improve user experience. Given the rich information in the Treatise, analyzing, modeling and understanding paleontological data are significant in many areas, such as: understanding evolution; understanding climate change; finding fossil fuels, etc. IPKB builds a general framework that aims to facilitate knowledge discovery activities in invertebrate paleontology, and provides a solid foundation for future explorations. In this article, we report our initial accomplishments. The specific techniques we employed in the project, such as those involved in text parsing, image-label association and meta data extraction, can be insightful and serve as examples for other researchers.
机译:在本文中,我们介绍了无脊椎动物古生物学知识基础(IPKB)。致力于数字化和共享无脊椎动物古生物学宝藏。该论文是无脊椎动物化石记录的最权威的汇编。不幸的是,PDF版本只是纸质出版物的复制品,其内容绝对没有组织起来以促进搜索和知识发现。我们从《专着》中提取文本和图像,并将它们存储在数据库中,并构建了一个用于高效浏览和搜索的系统。特别是在图像处理方面,我们将人物的化石照片分割开来,识别出嵌入的标签,然后将图像链接到相应的数据条目。每个属的详细信息(包括化石图像)都通过Web访问模块传递给用户。通过Web服务API可以获取某些外部应用程序(例如Google Earth),以改善用户体验。鉴于《条约》中的丰富信息,分析,建模和理解古生物学数据在许多领域都具有重要意义,例如:了解进化;了解气候变化; IPKB建立了一个通用框架,旨在促进无脊椎动物古生物学中的知识发现活动,并为将来的探索提供了坚实的基础。在本文中,我们报告了我们的初步成就。我们在项目中采用的特定技术(例如涉及文本解析,图像标签关联和元数据提取的技术)可能很有见识,并可以作为其他研究人员的实例。

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