Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (7): 1618-1628.doi: 10.11947/j.AGCS.2022.20220102
• Cartography and Geoinformation • Previous Articles Next Articles
LIU Jiping1,2,3, WANG Yong1,2, HU Yanzhu4, LUO An1, CHE Xianghong1, LI Pengpeng1,2, CAO Yuanhui1,3
Received:
2022-02-17
Revised:
2022-05-16
Published:
2022-08-13
Supported by:
CLC Number:
LIU Jiping, WANG Yong, HU Yanzhu, LUO An, CHE Xianghong, LI Pengpeng, CAO Yuanhui. A review of web-based ubiquitous geospatial information discovery and integration technology[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1618-1628.
[1] TU Shengru, ABDELGUERFI M. Web services for geographic information systems[J]. IEEE Internet Computing, 2006, 10(5):13-15. [2] 王元卓,靳小龙,程学旗.网络大数据:现状与展望[J].计算机学报, 2013, 36(6):1125-1138. WANG Yuanzhuo, JIN Xiaolong, CHENG Xueqi. Network big data:present and future[J]. Chinese Journal of Computers, 2013, 36(6):1125-1138. [3] GOODCHILD M F. Citizen as voluntary sensors:spatial data infrastructure in the world of Web 2.0[J]. International Journal of Spatial Data Infrastructures Research, 2007, 2(2):24-32. [4] 李朋朋.基于互联网POI的中文地址要素库自学习构建方法研究[D].兰州:兰州交通大学, 2019. LI Pengpeng. Research on self-learning construction method of Chinese address element library based on Internet POI[D]. Lanzhou:Lanzhou Jiaotong University, 2019. [5] YAN Yingwei, FENG C C, HUANG Wei, et al. Volunteered geographic information research in the first decade:a narrative review of selected journal articles in GIScience[J]. International Journal of Geographical Information Science, 2020, 34(9):1765-1791. [6] COLEMAN D J, NEBERT D D. Building a North American spatial data infrastructure[J]. Cartography and Geographic Information Systems, 1998, 25(3):151-160. [7] MASSER I. Building European spatial data infrastructures[M]. Redlands, CA:ESRI Press, 2007. [8] AL-YADUMI S, XION T E, WEI S G W, et al. Review on integrating geospatial big datasets and open research issues[J]. IEEE Access, 2021, 9:10604-10620. [9] FOODY G M, SEE L, FRITZ S, et al. Assessing the accuracy of volunteered geographic information arising from multiple contributors to an internet based collaborative project[J]. Transactions in GIS, 2013, 17(6):847-860. [10] SINGLETON A D, SPIELMAN S, BRUNSDON C. Establishing a framework for open geographic information science[J]. International Journal of Geographical Information Science, 2016, 30(8):1507-1521. [11] MORRIS S P. Geospatial web services and geoarchiving:new opportunities and challenges in geographic information service[J]. Library Trends, 2006, 55(2):285-303. [12] 孙敬杰,曾李阳,张尧.基于模板映射的Web空间数据解析研究[J].测绘, 2017, 40(1):11-13. SUN Jingjie, ZENG Liyang, ZHANG Yao. Analysis of web spatial data based on template mapping[J]. Surveying and Mapping, 2017, 40(1):11-13. [13] 宁津生.测绘科学与技术转型升级发展战略研究[J].武汉大学学报(信息科学版), 2019, 44(1):1-9. NING Jinsheng. Research on the development strategy of surveying and mapping science and technology transformation and upgrading[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1):1-9. [14] 王家耀,武芳.地理信息产业转型升级的驱动力[J].武汉大学学报(信息科学版), 2019, 44(1):10-16. WANG Jiayao, WU Fang. Driving forces for transformation and upgrading of geographic information industry[J]. Geomatics and Information Science of Wuhan University, 2019, 44(1):10-16. [15] GOODCHILD M F, GLENNON J A. Crowdsourcing geographic information for disaster response:a research frontier[J]. International Journal of Digital Earth, 2010, 3(3):231-241. [16] 刘经南,高柯夫.智能时代测绘与位置服务领域的挑战与机遇[J].武汉大学学报(信息科学版), 2017, 42(11):1506-1517. LIU Jingnan, GAO Kefu. Challenges and opportunities for mapping and surveying and location based service in the age of intelligence[J]. Geomatics and Information Science of Wuhan University, 2017, 42(11):1506-1517. [17] 刘经南,方媛,郭迟,等.位置大数据的分析处理研究进展[J].武汉大学学报(信息科学版), 2014, 39(4):379-385. LIU Jingnan, FANG Yuan, GUO Chi, et al. Research progress in location big data analysis and processing[J]. Geomatics and Information Science of Wuhan University, 2014, 39(4):379-385. [18] LUTZ M. Ontology-based descriptions for semantic discovery and composition of geoprocessing services[J]. Geoinformatica, 2007, 11(1):1-36. [19] 王少一,苏绣,蒋许锋.基于上下文感知的地理信息服务发现与匹配技术研究[J].地理信息世界, 2012, 10(1):72-75, 88. WANG Shaoyi, SU Xiu, JIANG Xufeng. The research on geospatial information service discovery and matchmaking based on context-awareness[J]. Geomatics World, 2012, 10(1):72-75, 88. [20] 柳佳佳,葛文.基于本体语义的地理信息服务发现[J].测绘工程, 2013, 22(6):9-13. LIU Jiajia, GE Wen. Geographic information service discovery based on ontology semantic[J]. Engineering of Surveying and Mapping, 2013, 22(6):9-13. [21] KHARE R, AN Y, SONG I Y. Understanding deep web search interfaces:a survey[J]. ACM SIGMOD Record, 2010, 39(1):33-40. [22] MASUTANI O, IWASAKI H. BEIRA:a geo-semantic clustering method for area summary[C]//Proceedings of the 8th International Conference on Web Information Systems Engineering. Nancy, France:Springer, 2007:111-122. [23] MASUTANI O, IWASAKI H. BEIRA:an area-based user interface for map services[J]. World Wide Web, 2009, 12(1):51-68. [24] 刘纪平,王勇,张福浩,等.网络地理信息获取融合与分析挖掘[M].北京:测绘出版社, 2018. LIU Jiping, WANG Yong, ZHANG Fuhao, et al. Acquisi-tion, fusion, analysis and mining for web geospatial information[M]. Beijing:Surveying and Mapping Press, 2018. [25] DAVIS C A JR, PAPPA G L, DE OLIVEIRA D R R, et al. Inferring the location of twitter messages based on user relationships[J]. Transactions in GIS, 2011, 15(6):735-751. [26] 张雪英,闾国年,李伯秋,等.基于规则的中文地址要素解析方法[J].地球信息科学学报, 2010, 12(1):9-16. ZHANG Xueying, LV Guonian, LI Baiqiu, et al. Rule-based approach to semantic resolution of Chinese addresses[J]. Journal of Geo-information Science, 2010, 12(1):9-16. [27] 王克永,刘纪平,罗安,等.前后缀与特征词相结合的地名地址提取[J].测绘通报, 2016(2):64-68. DOI:10.13474/j.cnki.11-2246.2016.0050. WANG Keyong, LIU Jiping, LUO An, et al. Extracting toponomy and location based on the combination of prefix and suffix with feature words[J]. Bulletin of Surveying and Mapping, 2016(2):64-68. DOI:10.13474/j.cnki.11-2246.2016.0050. [28] 李丽双,黄德根,陈春荣,等. SVM与规则相结合的中文地名自动识别[J].中文信息学报, 2006, 20(5):51-57. LI Lishuang, HUANG Degen, CHEN Chunrong, et al. Identifying Chinese place names based on support vector machines and rules[J]. Journal of Chinese Information Processing, 2006, 20(5):51-57. [29] 何炎祥,罗楚威,胡彬尧.基于CRF和规则相结合的地理命名实体识别方法[J].计算机应用与软件, 2015, 32(1):179-185, 202. HE Yanxiang, LUO Chuwei, HU Binyao. Geographic entity recognition method based on CRF model and rules combination[J]. Computer Applications and Software, 2015, 32(1):179-185, 202. [30] 贺瑞芳,段绍杨.基于多任务学习的中文事件抽取联合模型[J].软件学报, 2019, 30(4):1015-1030. HE Ruifang, DUAN Shaoyang. Joint Chinese event extraction based multi-task learning[J]. Journal of Software, 2019, 30(4):1015-1030. [31] 田文洪,高印权,黄厚文,等.基于多任务双向长短时记忆网络的隐式句间关系分析[J].中文信息学报, 2019, 33(5):47-53. TIAN Wenhong, GAO Yinquan, HUANG Houwen, et al. Implicit discourse relation analysis based on multi-task Bi-LSTM[J]. Journal of Chinese Information Processing, 2019, 33(5):47-53. [32] 朱海洲,贾银山.基于支持向量机的遥感图像分类研究[J].科学技术与工程, 2010, 10(15):3659-3663. ZHU Haizhou, JIA Yinshan. Remote sensing image classification based on support vector machines[J]. Science Technology and Engineering, 2010, 10(15):3659-3663. [33] 陈博,王爽,焦李成,等.贝叶斯集成框架下的极化SAR图像分类[J].西安电子科技大学学报(自然科学版), 2015, 42(2):45-51. CHEN Bo, WANG Shuang, JIAO Licheng, et al. Polarimetric SAR image classification via naive Bayes combination[J]. Journal of Xidian University, 2015, 42(2):45-51. [34] 陈载清,石俊生,白凤翔.基于模糊粗糙集的图像自动分类研究[J].吉林大学学报(工学版), 2013, 43(S1):209-212. CHEN Zaiqing, SHI Junsheng, BAI Fengxiang. Automatic image classification based on fuzzy-rough set[J]. Journal of Jilin University (Engineering and Technology Edition), 2013, 43(S1):209-212. [35] 杨梅芳,石义龙.基于2DPCA+PCA与SVM的人脸识别[J].信息技术, 2018, 42(2):32-36. YANG Meifang, SHI Yilong. Face recognition based on 2DPCA+PCA and SVM[J]. Information Technology, 2018, 42(2):32-36. [36] 张顺,龚怡宏,王进军.深度卷积神经网络的发展及其在计算机视觉领域的应用[J].计算机学报, 2019, 42(3):453-482. ZHANG Shun, GONG Yihong, WANG Jinjun. The development of deep convolution neural network and its applications on computer vision[J]. Chinese Journal of Computers, 2019, 42(3):453-482. [37] 杜凯旋,王亮,王勇,等.主动学习和卷积神经网络的地图图片识别方法[J].测绘科学, 2020, 45(7):139-147. DU Kaixuan, WANG Liang, WANG Yong, et al. An identification method of map images based on activate learning and convolutional neural network[J]. Science of Surveying and Mapping, 2020, 45(7):139-147. [38] 臧颖.基于边缘感知的图像语义分割算法的研究[D].杭州:浙江大学, 2021. ZANG Ying. Research on image semantic segmentation based on edge perception[D]. Hangzhou:Zhejiang University, 2021. [39] 陈玉敏,龚健雅,史文中.多尺度道路网的距离匹配算法研究[J].测绘学报, 2007, 36(1):84-90. CHEN Yumin, GONG Jianya, SHI Wenzhong. A distance-based matching algorithm for multi-scale road networks[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(1):84-90. [40] VOLZ S. An iterative approach for matching multiple representations of street data[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2006, 36(Part 2/W40):101-110. [41] DENG Min, LI Zhilin, CHEN Xiaoyong. Extended Hausdorff distance for spatial objects in GIS[J]. International Journal of Geographical Information Science, 2007, 21(4):459-475. [42] SAMAL A, SETH S, CUETO K. A feature-based approach to conflation of geospatial sources[J]. International Journal of Geographical Information Science, 2004, 18(5):459-489. [43] DENG Yue, LUO An, LIU Jiping, et al. Point of interest matching between different geospatial datasets[J]. ISPRS International Journal of Geo-Information, 2019, 8(10):435. [44] SAALFELD A. Conflation automated map compilation[J]. International Journal of Geographical Information Systems, 1988, 2(3):217-228. [45] 张桥平,李德仁,龚健雅.地图合并技术[J].测绘通报, 2001(7):6-8. ZHANG Qiaoping, LI Deren, GONG Jianya. Map conflation[J]. Bulletin of Surveying and Mapping, 2001(7):6-8. [46] 郭庆胜,谢育武,刘纪平,等.顾及尺度变化和数据更新的道路网匹配算法[J].测绘学报, 2017, 46(3):381-388. DOI:10.11947/j.AGCS.2017.20160364. GUO Qingsheng, XIE Yuwu, LIU Jiping, et al. Algorithms for road networks matching considering scale variation and data update[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(3):381-388. DOI:10.11947/j.AGCS.2017.20160364. [47] 郭黎,崔铁军,王豪,等.基于面状要素拓扑关系的数据匹配技术研究[J].测绘科学, 2010, 35(1):130-132. GUO Li, CUI Tiejun, WANG Hao, et al. Research on area features' data matching technology based on topology relations[J]. Science of Surveying and Mapping, 2010, 35(1):130-132. [48] LI Pengpeng, LUO An, LIU Jiping, et al. Bidirectional gated recurrent unit neural network for Chinese address element segmentation[J]. ISPRS International Journal of Geo-Information, 2020, 9(11):635. [49] GU Bin, JIN Yanfeng, ZHANG Chang. Study on the standardized method of Chinese addresses based on expert system[C]//Proceedings of 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems. Hangzhou, China:IEEE, 2012:1254-1258. [50] 亢孟军,杜清运,王明军.地址树模型的中文地址提取方法[J].测绘学报, 2015, 44(1):99-107. DOI:10.11947/j.AGCS.2015.20130205. KANG Mengjun, DU Qingyun, WANG Mingjun. A new method of Chinese address extraction based on address tree model[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(1):99-107. DOI:10.11947/j.AGCS.2015.20130205. [51] 罗明,黄海量.一种基于有限状态机的中文地址标准化方法[J].计算机应用研究, 2016, 33(12):3691-3695. LUO Ming, HUANG Hailiang. New method of Chinese address standardization based on finite state machine theory[J]. Application Research of Computers, 2016, 33(12):3691-3695. [52] 王勇,刘纪平,郭庆胜,等.顾及位置关系的网络POI地址信息标准化处理方法[J].测绘学报, 2016, 45(5):623-630. DOI:10.11947/j.AGCS.2016.20150618. WANG Yong, LIU Jiping, GUO Qingsheng, et al. The standardization method of address information for POIs from internet based on positional relation[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(5):623-630. DOI:10.11947/j.AGCS.2016.20150618. [53] GUO Honglei, ZHU Huijia, GUO Zhili, et al. Address standardization with latent semantic association[C]//Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Paris, France:ACM, 2009:1155-1164. [54] LU Yan, LIU Hongli, ZHOU Yanquan. Chinese address standardization based on seq2seq model[C]//Proceedings of the 20192nd International Conference on Computational Intelligence and Intelligent Systems. Bangkok, Thailand:ACM, 2019:1-5. [55] LIN Yue, KANG Mengjun, WU Yuyang, et al. A deep learning architecture for semantic address matching[J]. International Journal of Geographical Information Science, 2020, 34(3):559-576. [56] KOLAHDOUZAN M R, SHAHABI C. Alternative solutions for continuous K nearest neighbor queries in spatial network databases[J]. GeoInformatica, 2005, 9(4):321-341. [57] LI Xin, MORIE P, ROTH D. Semantic integration in text:From ambiguous names to identifiable entities[J]. AI Magazine, 2005, 26(1):45-58. [58] MCKENZIE G, JANOWICZ K, ADAMS B. A weighted multi-attribute method for matching user-generated points of interest[J]. Cartography and Geographic Information Science, 2014, 41(2):125-137. [59] LI Lin, XING Xiaoyu, XIA Hui, et al. Entropy-weighted instance matching between different sourcing points of interest[J]. Entropy, 2016, 18(2):45. [60] LI Chengming, LIU Li, DAI Zhaoxin, et al. Different sourcing point of interest matching method considering multiple constraints[J]. ISPRS International Journal of Geo-Information, 2020, 9(4):214. [61] MIKOLOV T, SUTSKEVER I, CHEN Kai, et al. Distributed representations of words and phrases and their compositionality[C]//Proceedings of the 26th International Conference on Neural Information Processing Systems. Lake Tahoe, Nevada:Curran Associates Inc., 2013:3111-3119. [62] HOCHREITER S, SCHMIDHUBER J. Long short-term memory[J]. Neural Computation, 1997, 9(8):1735-1780. [63] CHO K, VAN MERRIËNBOER B, GULCEHRE C, et al. Learning phrase representations using RNN encoder-decoder for statistical machine translation[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. Doha, Qatar:Association for Computational Linguistics, 2014:1724-1734. [64] 余丽,陆锋,刘希亮,等.稀疏地理实体关系的关键词提取方法[J].地球信息科学学报, 2016, 18(11):1465-1475. YU Li, LU Feng, LIU Xiliang, et al. A method of context enhanced keyword extraction for sparse geo-entity relation[J]. Journal of Geo-information Science, 2016, 18(11):1465-1475. [65] 王敬贵,杜云艳,苏奋振,等.基于地理本体的空间数据集成方法及其实现[J].地理研究, 2009, 28(3):696-704. WANG Jinggui, DU Yunyan, SU Fenzhen, et al. Methodology and implementation of spatial data integration based on geo-ontologies[J]. Geographical Research, 2009, 28(3):696-704. [66] 张雪英,张春菊,吴明光,等.顾及时空特征的地理知识图谱构建方法[J].中国科学:信息科学, 2020, 50(7):1019-1032. ZHAGN Xueying, ZHANG Chunju, WU Guangming, et al. Spatiotemporal features based geographical knowledge graph construction[J]. Scientia Sinica Informationis, 2020, 50(7):1019-1032. |
[1] | WU Huayi, JIN Fengying, LIANG Jianyuan, ZHANG Xianyuan, XING Huaqiao, GUI Zhipeng, LI Rui, XIANG Longgang. Research progress on geospatial service web and gollaboration [J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 1050-1061. |
[2] | GUO Xuan, QIAN Haizhong, WANG Xiao, LIU Junnan, REN Yan, ZHAO Yuzhe, CHEN Guoqing. Ontology knowledge reasoning method for multi-source intelligent road selection [J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(2): 279-289. |
[3] | DU Wenying, CHEN Nengcheng, YUAN Sai. Flood events process detection and near realtime service based on sensor web [J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(2): 191-201. |
[4] | AN Xiaoya, CHENG Xiaoqiang. Visual clarity of vector curve and its application in web map generalization [J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(2): 245-255. |
[5] | LIU Yang, WU Ziyin, ZHAO Dineng, ZHOU Jieqiong, SHANG Jihong, WANG Mingwei, ZHU Chao, LU Haohao. The MF method for multi-source bathymetric data fusion and ocean bathymetric model construction [J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(9): 1171-1181. |
[6] | ZHAO Yi, JIANG Mi. Integration of SAR polarimetric parameters and multi-spectral data for object-based land cover classification [J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(5): 609-617. |
[7] | GONG Jianya, ZHANG Xiang, XIANG Longgang, CHEN Nengcheng. Progress and applications for integrated sensing and intelligent decision in smart city [J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(12): 1482-1497. |
[8] | LI Muxian, GUI Zhipeng, CHENG Xiaoqiang, WU Huayi, QIN Kun. A content-based WMS layer retrieval method combining multiple kernel learning and user feedback [J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(10): 1320-1330. |
[9] | KE Baogui, ZHANG Liming, ZHANG Chuanyin, DANG Yamin. Fusion the Altimetric and Shipborne Gravity Data Based on Point Mass Fit Method [J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(7): 924-929. |
[10] | LIANG Fuxun, YANG Bisheng, HUANG Ronggang, DONG Zhen, LI Jianping. Façade Solar Potential Analysis Using Multisource Point Cloud [J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(2): 225-233. |
[11] | YANG Wei, AI Tinghua. A Method for Road Map Construction Based on Trajectory Segmentation and Layer Fusion Using Vehicle Track Line [J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(12): 1650-1659. |
[12] | CHENG Xiaoqiang, YANG Min, GUI Zhipeng, AI Tinghua, WU Huayi. An Algorithm Creating Thumbnail for Web Map Services Based on Information Entropy and Trans-scale Similarity [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(11): 1891-1898. |
[13] | WANG Jiayao. Cartography in the Age of Spatio-temporal Big Data [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1226-1237. |
[14] | YANG Yuanxi, LI Xiaoyan. Micro-PNT and Comprehensive PNT [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1249-1254. |
[15] | SUN Qun. Research on the Progress of Multi-sources Geospatial Vector Data Fusion [J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1627-1636. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||