架起GIS与计算机科学的桥梁:ACM SIGSPATIAL 2015 会议综述
作者简介:刘希亮(1983-),男,河北衡水人,博士后,研究方向为时空智能计算、智能交通系统。E-mail: liuxl@lreis.ac.cn
收稿日期: 2016-08-04
要求修回日期: 2016-09-25
网络出版日期: 2016-11-20
基金资助
国家自然科学基金项目(41631177、41601421)
中国博士后科学基金项目(2015M581158)
Bridging the Gap between GIS and Computer Science: Review on ACM SIGSPATIAL 2015
Received date: 2016-08-04
Request revised date: 2016-09-25
Online published: 2016-11-20
Copyright
ACM SIGSPATIAL会议是GIS科学与计算机科学结合最广泛的国际顶级会议。会议主题围绕计算机科学与GIS研究中的热点问题,涵盖时空数据挖掘、时空数据模型和算法、位置服务、地图匹配、分布式和并行计算、路径规划、轨迹计算等研究方向,具有重要的学术价值和应用价值。本文对第二十三届ACM SIGSPATIAL会议(ACM SIGSPATIAL 2015)进行了总结,将当前计算机科学与GIS交叉研究领域的研究前沿归纳为多源数据融合、轨迹分析、语义分析3个研究方向,同时介绍了ACM SIGSPATIAL 2015会议的主题演讲、会议竞赛以及会议专题研讨会等相关内容,希望展示当前计算机科学与GIS领域相结合的最新研究进展,架起GIS与计算机科学的桥梁。
关键词: ACM SIGSPATIAL; GIS; 多源数据; 轨迹分析; 语义
刘希亮 , 程诗奋 , 余丽 , 刘康 , 陆锋 . 架起GIS与计算机科学的桥梁:ACM SIGSPATIAL 2015 会议综述[J]. 地球信息科学学报, 2016 , 18(11) : 1448 -1455 . DOI: 10.3724/SP.J.1047.2016.01448
ACM SIGSPATIAL conference is the international summit which highlights the inter-discipline between Geographical Information Science (GIS) and Computer Science (CS). The former name of this conference is ACM SIGSPATIAL GIS. Since 2014, the name of the conference has changed to ACM SIGSPATIAL. After 23 years' development (1993-2015), ACM SIGSPATIAL has taken a wide coverage among spatio-temporal mining, spatio-temporal modeling and algorithm, location-based service, map matching, parallel computing, navigation and trajectory analysis, etc. All the topics in ACM SIGSPATIAL represent the state-of-the-art and the-state-of-the-technique levels in current GIS and CS domains, showing important values both for academic and industrial researches. In this paper, we introduced ACM SIGSPATIAL 2015 in details, including the main conference, the workshop, and keynote speaking and the ACM SIGSPATIAL CUP. We analyzed the acceptance rate of ACM SIGSPATIAL 2015 in the main conference, including full papers, vision papers, and demo papers. We paid attention to the spatial distribution of the accepted papers, and projected the nationalities of all the first authors onto the map. We also drew the word cloud for the accepted papers based on the statistics of key words and abstracts. Furthermore, we classified the data types employed in these papers. These statistical data showed the hot topics in current GIS and CS researches. To better grab the key points of the presentations in the main conference, we clustered all the presentations into three directions: (1) the value of multi-source data, (2) the dominated priority of trajectory research, and (3) the rising of semantic analysis. We selected representative papers for each direction and reviewed them in details. The workshops in ACM SIGSPATIAL 2015 took 12 sessions, relating to mobile entity localization and tracking, privacy in GIS, emergency management on the use of GIS, geo-streaming, smart cities and urban analytics, big geospatial data analysis, LBSN service, mobile geographic information system, indoor spatial awareness and computational transportation science. UrbanGIS 2015 and EM-GIS 2015 were newly included in ACM SIGSPATIAL 2015. The scope of all the workshops covered the current hot topics in the research fields. The ACM SIGSPATIAL CUP was the special feature of this conference. This year's contest was about finding the shortest path under polygonal obstacle constraints. Computing shortest paths in real-time had become a necessity with the advent of online web services. It also became imperative to provide shortest paths under various constraints. Many online services now support a variety of constraints, including avoiding tolls and boarders to selecting favorite highways. Top three teams were invited to submit a four page paper for the ACM SIGSPATIAL CUP session. In this paper, we reported the work from the top team in details.As the premier annual event of the ACM Special Interest Group on Spatial Information, ACM SIGSPATIAL fosters interdisciplinary discussions and researches in all aspects of GIS. We hope to show the latest progresses in this buzzing field, and bridge the gap between GIS and CS.
Key words: ACM SIGSPATIAL; GIS; multi-source data; trajectory analysis; semantic
Fig. 1 Global distribution of the main conference papers图1 主会论文地域分布图 |
Fig. 2 Word cloud of topics in ACM SIGSPATIAL 2015图2 ACM SIGSPATIAL 2015会议主题词云 |
Fig. 3 Histogram of main conference session topics in ACM SIGSPATIAL 2015图3 ACM SIGSPATIAL 2015主会子主题直方图 |
Fig. 4 Histogram of data types in the main conference of ACM SIGSPATIAL 2015图4 ACM SIGSPATIAL 2015主会数据类型直方图 |
Fig. 5 Google scholar citation comparison图5 谷歌学术引用对比图 |
The authors have declared that no competing interests exist.
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