CAJ | 학술논문

有效地发现和利用分布存储、运行的各类空间数据、空间决策分析模型和知识发现算法，已成为当前空间信息处理、知识发现与共享领域最具挑战性的前沿课题之一。首先，本文论述了空间信息处理、知识发现的关键问题、发展现状和趋势。然后，描述了地理知识云的概念特征，提出了地理知识云（GeoKSCloud）的具体实现。该平台构造了可伸缩的空间数据和知识服务存储、运行环境；平台从业务功能上划分为数据聚合中心、知识服务中心、地学问题求解中心、平台控制中心和知识云门户等5大核心模块。其为地学问题求解全过程提供了空间数据集成，知识服务发布、注册、搜索、发现、组合等功能，以及地学问题智能推理和结果可视化表达等工具。本文对海量空间数据云存储与管理、知识云服务管理与组合、地学问题智能求解等平台关键技术进行了论述。最后，本文以历史地震影响场分析为例，分析了平台各组件在问题求解中的交互过程，实例表明，该平台可实现多节点、跨平台、异构地理知识服务的协同式计算，有效地降低地学问题求解的成本和复杂度。
유효지발현화이용분포존저、운행적각류공간수거、공간결책분석모형화지식발현산법，이성위당전공간신식처리、지식발현여공향영역최구도전성적전연과제지일。수선，본문논술료공간신식처리、지식발현적관건문제、발전현상화추세。연후，묘술료지리지식운적개념특정，제출료지리지식운（GeoKSCloud）적구체실현。해평태구조료가신축적공간수거화지식복무존저、운행배경；평태종업무공능상화분위수거취합중심、지식복무중심、지학문제구해중심、평태공제중심화지식운문호등5대핵심모괴。기위지학문제구해전과정제공료공간수거집성，지식복무발포、주책、수색、발현、조합등공능，이급지학문제지능추리화결과가시화표체등공구。본문대해량공간수거운존저여관리、지식운복무관리여조합、지학문제지능구해등평태관건기술진행료논술。최후，본문이역사지진영향장분석위례，분석료평태각조건재문제구해중적교호과정，실례표명，해평태가실현다절점、과평태、이구지리지식복무적협동식계산，유효지강저지학문제구해적성본화복잡도。
Currently, it is one of the most challenging issues to discover and organize diverse distributed geospa-tial services for geosciences problem resolving, knowledge innovation and sharing. These services include geo-spatial data services, geospatial analysis services and geospatial data mining services, etc. Facing this challenge and considering the key points of geospatial information processing, knowledge discovery and sharing, in this pa-per, the concept of geospatial knowledge cloud is depicted, and a novel cloud-based geographical knowledge ser-vice platform named as GeoKSCloud is proposed. Based on cloud computing technology, GeoKSCloud tries to create a unified framework to aggregate a broad variety cross-node and cross-platform geospatial services for end-users. With aim to deal with the compute-intensive and data-intensive challenge of geospatial data process-ing, the platform adopts the idea of virtualization to construct a scalable computation environment. Five main components of data aggregation, service management, geosciences problem solving, platform control and portal are designed to provide functions of services registry, discovery, composition, execution and data integration. Moreover, supported by natural language understanding, ontology and data visualization technology, the plat-form offers intelligent reasoning and visualization tools to help users to perform problem solving task more effi-ciently. The key technologies associated with platform realization are discussed, which includes massive geospa-tial data cloud storage and management technology, knowledge service management and composition technolo-gy, and intelligent geospatial problem solving technology, et al. Finally, a use case of historical seismic influence field analysis is proposed to demonstrate the interoperation of platform components, and the representative user interfaces of platform are illustrated. The case study reveals that GeoKSCloud could reduce the complexity and overhead of geosciences problem solving by coordinating multiple distributed and heterogeneous services.