在Web文档中有效搜索地图
Effectively Searching Maps in Web Documents
摘要：
地图是考古学和其他科学的重要信息来源。用户希望搜索历史地图，以确定不同时代地区的政治地理历史记录，找出考古文物被发现的确切位置等。目前，他们必须使用通用的搜索引擎，并添加术语地图以及其他关键字来搜索地图。这种粗糙的方法会产生大量的假阳性，用户需要从中剔除以获得所需的结果。为了减少他们的手动工作，我们提出了一个自动地图识别，索引和检索系统，使用户能够搜索和检索出现在一个大型的数字文档语料库中的地图，使用简单的关键字查询。我们确定的功能，可以帮助区分地图从数字文档中的其他数字，并显示如何支持向量机为基础的分类器可以用来识别地图。我们提出地图级元数据，例如，标题、对文本中的地图的引用等，以及文档级元数据，例如，标题、摘要、引文、出版物的最新时间等，并显示如何自动提取和索引它们。我们的新排名算法不同的权重不同的元数据字段，也使用文档级元数据，以帮助排名检索到的地图。经验评估表明，哪些功能应被选择，哪些元数据字段应加权更多。我们还展示了改进的检索结果相比，现有的地图检索方法的适应。我们的地图搜索引擎已经部署在一个在线地图搜索系统，这是盲查数字图书馆系统的一部分。
英文摘要：
Maps are an important source of information in archaeology and other sciences. Users want to search for historical maps to determine recorded history of the political geography of regions at different eras, to find out where exactly archaeological artifacts were discovered, etc. Currently, they have to use a generic search engine and add the term map along with other keywords to search for maps. This crude method will generate a significant number of false positives that the user will need to cull through to get the desired results. To reduce their manual effort, we propose an automatic map identification, indexing, and retrieval system that enables users to search and retrieve maps appearing in a large corpus of digital documents using simple keyword queries. We identify features that can help in distinguishing maps from other figures in digital documents and show how a Support-Vector-Machine-based classifier can be used to identify maps. We propose map-level-metadata e.g., captions, references to the maps in text, etc. and document-level metadata, e.g., title, abstract, citations, how recent the publication is, etc. and show how they can be automatically extracted and indexed. Our novel ranking algorithm weights different metadata fields differently and also uses the document-level metadata to help rank retrieved maps. Empirical evaluations show which features should be selected and which metadata fields should be weighted more. We also demonstrate improved retrieval results in comparison to adaptations of existing methods for map retrieval. Our map search engine has been deployed in an online map-search system that is part of the Blind-Review digital library system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
