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中科院1区计算机期刊IPM【IF:7.4, 免版面费】专刊征稿—从文本提取地理信息
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期刊名： Information Processing and Management 简称：IPM 中科院JCR分区：计算机科学 - 1区 CCF等级：数据库/数据挖掘/内容检索下B类 影响因子：7.4 审稿周期：平均两月 费用： 免版面费 专刊官网： https://www.sciencedirect.com/jo ... sing-and-management Geographic Information Extraction from Texts Vast and ever-increasing amounts of semi- and unstructured text data, including social media posts, website texts, and historical archives, are available online and offline. These documents often refer to geographic regions or specific places and contain valuable but textually encoded geographic information in the form of toponyms, place names, and location descriptions. The information is useful not only for scientific studies, such as spatial humanities, but can also for various practical applications, such as disaster management and disease surveillance. Scientists from many fields have an increased interest in researching and applying methods to infer the geographical focus of documents or to extract geographic references from unstructured and heterogeneous texts and then resolve these references unambiguously to places or spaces on the Earth’s surface. Despite the encouraging progress in geographic information extraction, there are still many unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. With the special issue, we aim to foster discussion and exchange of recent advances in different aspects of geographic information extraction from texts. The special issue will provide an opportunity for the authors of the First GeoExT Workshop (to be held at the 45th European Conference on Information Retrieval in Dublin) to extend their research papers published in the workshop proceedings. Furthermore, this issue is open to other researchers working on the topics covered by the event. Possible topics of submission: Document geocoding Toponym recognition and resolution Toponym matching Method generalizability (regions, languages, data sources) Multi-source data (e.g., text and image) fusion for method improvement Tweets geolocating at hyper-local levels Location description extraction and resolution Relation extraction and disambiguation Fine-grained toponym resolution Historical toponym resolution Historical archive geovisualization Gazetteer enrichment for resolving ancient and evolving toponyms Dataset annotation for approach training and evaluation Platforms and metrics for approach evaluation Framework or service to support solution customizing Standards or unified interfaces for system development Novel applications of geographic information in texts Analyzing and processing geotagged social media Location privacy protection for online users Important dates: Submissions close: 1 September 2023 Guest editors: Dr. Xuke Hu, German Aerospace Center, Jena, Germany Prof. Ross Purves, Department of Geography, University of Zurich, Zurich, Switzerland Assoc. Prof. Bernd Resch, Department of Geoinformatics, University of Salzburg, Salzburg, Austria Dr. Jens Kersten, Institute of Data Science, German Aerospace Center, Jena, Germany Assoc. Prof. Kristin Stock, School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand Contact: Dr. Xuke Hu, email: xuke.hu@dlr.de, wechat: w134571654 |
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