Semantic and syntactic interoperability in online processing of big Earth observation data  

作　　者：Martin Sudmanns Dirk Tiede Stefan Lang Andrea Baraldi 

机构地区：[1]Department of Geoinformatics–Z_GIS,University of Salzburg,Salzburg,Austria [2]Department of Agricultural and Food Sciences,University of Naples FedericoⅡ,Napoli,Italy

出　　处：《International Journal of Digital Earth》2018年第1期95-112,共18页国际数字地球学报（英文）

基　　金：This work was supported by the Austrian Science Fund(FWF)through the Doctoral College GIScience(DK W1237-N23);the Austrian Research Promotion Agency(FFG)within the exploratory projects SemEO(contract no:855467);AutoSentinel 2/3(contract no:848009).

摘　　要：The challenge of enabling syntactic and semantic interoperability for comprehensive and reproducible online processing of big Earth observation(EO)data is still unsolved.Supporting both types of interoperability is one of the requirements to efficiently extract valuable information from the large amount of available multi-temporal gridded data sets.The proposed system wraps world models,(semantic interoperability)into OGC Web Processing Services(syntactic interoperability)for semantic online analyses.World models describe spatio-temporal entities and their relationships in a formal way.The proposed system serves as enabler for(1)technical interoperability using a standardised interface to be used by all types of clients and(2)allowing experts from different domains to develop complex analyses together as collaborative effort.Users are connecting the world models online to the data,which are maintained in a centralised storage as 3D spatio-temporal data cubes.It allows also non-experts to extract valuable information from EO data because data management,low-level interactions or specific software issues can be ignored.We discuss the concept of the proposed system,provide a technical implementation example and describe three use cases for extracting changes from EO images and demonstrate the usability also for non-EO,gridded,multitemporal data sets(CORINE land cover).

关 键 词：OGC WPS big Earth data time series large-scale processing model-driven semantic analyses 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]