历史行程表地理编码的深度优先分支定界算法

Daniel Blank, A. Henrich
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引用次数: 15

摘要

本文的研究有两个方面的动机:首先,地名词典作为地理信息检索(GIR)应用的重要数据源,往往缺乏历史地名信息。更集中的历史地名辞典远远不够完整,往往只专注于某些地理区域或时间段。其次,对历史路线描述的研究——即所谓的行程——是地理、语言学、历史、宗教甚至医学等许多研究学科的重要任务。这项历史路线研究的特点是手工、耗时的工作,只有极简的信息技术支持,通过地名词典和地图服务。我们解决了这两种观点,并提出了一种深度优先的分支边界(DFBnB)算法,用于从行程表中推断历史地名,从而推断古代旅行路线的站点。在解析1563年首次发布的行程部分时,会评估多个语音和基于字符的字符串距离。
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A depth-first branch-and-bound algorithm for geocoding historic itinerary tables
The work in this paper is motivated from two different perspectives: First, gazetteers as an important data source for Geographic Information Retrieval (GIR) applications often lack historic place name information. More focused historic gazetteers are a far cry from being complete and often specialize only on certain geographic regions or time periods. Second, research on historic route descriptions---so called itineraries---is an important task in many research disciplines such as geography, linguistics, history, religion, or even medicine. This research on historic itineraries is characterized by manual, time-consuming work with only minimalistic IT support through gazetteers and map services. We address both perspectives and present a depth-first branch-and-bound (DFBnB) algorithm for deducing historic place names and thus the stops of ancient travel routes from itinerary tables. Multiple phonetic and character-based string distances are evaluated when resolving parts of an itinerary first published in 1563.
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