| Summary: | 碩士 === 逢甲大學 === 都市計畫與空間資訊學系 === 107 === In 2005, the World Bank's "World Natural Disasters Hotspots and Risk Analysis Report" pointed out that more than 70% of Taiwan's land and population are threatened by more than three natural disasters. In recent years, global climate change has caused extreme weather in all regions, and the challenges facing Taiwan are even more serious. When the disaster happen, the disaster notification is a conduit for communication and rescue between people and the government. The government plays a very important role in the disaster recovery and recovery phase of the disaster management. How to make each department have the same analysis for disaster notification and make a correct judgment as an important issue in disaster prevention.
Today, there are many platforms that provide people with information on disasters. However, the same disaster is accompanied by disaster information. People have different understandings of disasters. It is easy to carry wrong information when filling out reports. The government has multiple authorities and different standard for disasters. There are different regulations in the analysis. Therefore, different disaster information on each platform may point to the same disaster situation, or a single intelligence is caused by different disasters. In the case of inability to integrate, it is easy to increase the burden of the authority and the communication between the people and the government. misunderstanding.
This study uses semantic network technology to standardize different intelligences, serialize data specifications between different authorities, and unify standard vocabulary according to existing regulations and standards, and plan to construct a query system based on disaster information ontology. The knowledge ontology integrates different pipeline notification information, and then converts it into RDF single information and releases information, which reduces the misunderstanding caused by the transmission of information. It is expected to unify the information of all parties through a single intelligence release, strengthen the disaster prevention efficiency during disaster prevention, and integrate intelligence. After the disaster recovery, it will be used as the analysis information for the disaster reduction and preparation phase.
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