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博士生张航的论文在IEEE ACCESS 刊出
发布时间:2019-04-29 10:48:18     发布者:易真     浏览次数:

标题: Visualization of Location-Referenced Web Textual Information Based on Map Mashups

作者: Zhang, H (Zhang, Hang); Li, L (Li, Lin); Hu, W (Hu, Wei); Yao, WJ (Yao, Wenjing); Zhu, HH (Zhu, Haihong)

来源出版物: IEEE ACCESS  : 7  : 40475-40487  DOI: 10.1109/ACCESS.2019.2907570  出版年: 2019  

摘要: Space is the most fundamental organizing dimension for information that forms the basic spatial understanding around which all other temporal and semantic details are situated. Various types of web information are present in our daily lives, and spatial content can facilitate the understanding of that information. Hence, many studies have been conducted to extract the implicit spatial location from different web resources, and they have mainly investigated web textual information. However, the existing studies mainly focus on the extraction or simple presentation of the location of the information, while further exploration and visualization of the information through the comprehensive consideration of its spatial, temporal, and semantic dimensions have rarely been performed. Thus, this paper proposes a novel modeling and visualization framework for location-referenced web textual information. The framework applies an information model to structurally extract and resolve spatial content along with the temporal and semantic elements from the location-referenced information items. Based on the constructed information model, the information items are hierarchically clustered and visualized by combining map mashups with cartographic processes and methods. This framework enables users to interactively index and browses individual information items. Furthermore, the association relationships involved in the information set are explored in our work. With knowledge graphs that are automatically generated based on the information model, a high-level understanding of the information set can be obtained by users.

入藏号: WOS:000464265600002

语言: English

文献类型: Article

作者关键词: Geotagging; information visualization; location-referenced information; map mashups; web textual information

地址: [Zhang, Hang; Li, Lin; Hu, Wei; Zhu, Haihong] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Li, Lin] Wuhan Univ, Geospatial Informat Sci Collaborat Innovat Ctr, Wuhan 430079, Hubei, Peoples R China.

[Li, Lin] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Hubei, Peoples R China.

[Yao, Wenjing] Wuhan Winsse Secur Technol Co Ltd, Wuhan 430079, Hubei, Peoples R China.

通讯作者地址: Li, L (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

Li, L (通讯作者)Wuhan Univ, Geospatial Informat Sci Collaborat Innovat Ctr, Wuhan 430079, Hubei, Peoples R China.

Li, L (通讯作者)Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: lilin@whu.edu.cn

影响因子:3.557


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