Temporal logic and operation relations based knowledge representation for land cover change web services |
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| Institution: | 1. National Geomatics Center of China, Beijing 100830, China;2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei 430079, China;3. Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada M5B 2K3;4. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China;1. Department of Power Vehicle and Systems Engineering, CCIT, National Defense University, Taiwan;2. Department of Mechanical Engineering, National Central University, Taoyuan City, Taiwan;3. Materials and Electro-Optics Research Division, National Chung-Shan Institute of Science and Technology, Taiwan;1. Space Research Institute RAS, Profsoyuznaya 84/32, Moscow 117997, Russia;2. LATMOS UVSQ/UPMC/CNRS, Boite 102, 75252 Paris Cedex 05, France;1. Institute of Geotechnical Research, Hohai University, Nanjing 210098, China;2. Key Laboratory of Ministry of Education of Geomechanics and Embankment Engineering, Hohai University, Nanjing 210098, China |
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| Abstract: | Providing land cover spatio-temporal information and geo-computing through web service is a new challenge for supporting global change research, earth system simulation and many other societal benefit areas. This requires an integrated knowledge representation and web implementation of static land cover and change information, as well as the related operations for geo-computing. The temporal logic relations among land cover snapshots and increments were examined with a matrix-based three-step analysis. Twelve temporal logic relations were identified and five basic spatial operations were formalized with set operators, which were all used to develop algorithms for deriving implicit change information. A knowledge representation for land cover change information was then developed based on these temporal logic and operation relations. A prototype web-service system was further implemented based on OWL-DL. Both online access and conversion of land cover spatio-temporal information can be facilitated with such a web service system. |
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