数字地名词典:地名知识库的回顾与展望

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Kalana Induwara Wijegunarathna, Kristin Stock, Christopher B. Jones
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引用次数: 0

摘要

地名词典通常存储地名、地名类型和相关坐标的数据。它们在在线地理信息检索系统中的地名消歧、文本地名检测消歧、坐标提供等方面发挥着重要作用。目前使用的许多地名词典来源于许多来源,没有普遍接受的数据编码标准。大多数地名辞典在代表命名地点的多个方面的程度上也非常有限,但它们有可能帮助用户搜索具有特定物理、商业、社会或文化特征的地点。重点是理解数字地名词典技术并提高其未来信息检索的有效性,我们提供了数据源,组件,软件和数据管理技术,数据质量和自愿数据的回顾,以及参考相同现实世界地点的匹配源的方法。我们强调需要在命名地点的更丰富的表示、地点身份和位置的时间演变以及开发更有效的数据集成方法方面开展未来的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Gazetteers: Review and Prospects for Place Name Knowledge Bases
Gazetteers typically store data on place names, place types and the associated coordinates. They play an essential role in disambiguating place names in online geographical information retrieval systems for navigation and mapping, detecting and disambiguating place names in text, and providing coordinates. Currently there are many gazetteers in use derived from many sources, with no commonly accepted standard for encoding the data. Most gazetteers are also very limited in the extent to which they represent the multiple facets of the named places yet they have potential to assist user search for locations with specific physical, commercial, social or cultural characteristics. With a focus on understanding digital gazetteer technologies and advancing their future effectiveness for information retrieval, we provide a review of data sources, components, software and data management technologies, data quality and volunteered data, and methods for matching sources that refer to the same real-world places. We highlight the need for future work on richer representation of named places, the temporal evolution of place identity and location, and the development of more effective methods for data integration.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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