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劉婉明(Liu Wanming) 경북대학교 아시아연구소 2011 아시아연구 Vol.- No.13
日本華僑라는 身分은 馮乃超가 浪漫主義 詩人에서 마르크스주의 革命家로 변모하는 데에 있어서 중요한 의미가 있었다. 家族들의 革命史, 異邦僑民의 “國恥”체험, 어릴 때부터 체험한 民族救濟 엘리트 교육을 받은 경험, 유년 시절 처음으로 고향을 찾았을 때 조국으로부터 異族과 罪人 취급받은 체험 등이 상호 작용하여 풍내초에게는 異邦과 고국에게 동시에 축출당한 기억으로 남았다. 이러한 기억들이 풍내초로 하여금 마르크스주의자로 변모하게 하였고, 民族國家를 초탈한 無産階級革命家로 변모하는 데에 있어서 중요한 역할을 하였다. 1911年, 革命黨이 홍콩에 있던 保皇黨의 機關報인 『商報』館을 습격한 사건은 풍내초로 하여금 민족국가 공동체 의식에 대한 의구심을 갖게 했으며, 그가 민족국가 신분에 대해 위기감을 느끼게 된 계기가 되었다. 1928년 귀국을 결정하고 無産階級 文學運動 先鋒 엘리트 모습으로, 민족 救援者익 모습을 다시 드러낸 풍내초는 소설 「故鄕」에서 자신의 『商報』館 습격 사건에 대한 체험을 다루었다. 그 목적은 마르크스주의 언어로서 고향에서 축출당한 “나”가 어떻게 최종적으로 無産階級大衆 속에서 새로운 歸屬을 찾았는지에 대한 寓言이었다. 이 우언의 결론에서 그는 개개인의 구원은 階級革命을 통해 실현되어야 하며, “나”는 민족국가에 소속되었던 데로부터 무산대중에 귀속되었다고 하였다. 『商報』館 사건을 다시 다루는 것에서 우리는 풍내초가 唯物史觀이 허용하는 역사 구원을 희망하였으며, 마르크스주익 언어로 묘사해낸 역사 진행 속에서 가장 진보적이고 민족국가의 한계를 초탈한 무산계급을 통해 오랫동안 그를 괴롭혔던 민족국가의 신분 문제를 해결하고자 하였음을 알 수 있다. Being an overseas Chinese in Japan had a great effect on Feng Naichao’s transformation from a romantic poet to a Marxist. The family history of the Fengs’ participation in revolution, the racial discrimination suffered in Japan, the elite education for raising the future savior of the Chinese nation, the memories of been treated like a pagan and a guilty person in his motherland during his first hometown journey, all of these experiences interacted with each other during Feng’s life. As a result, the memories of been exiled by both his motherland and Japan led to Feng Naichao’s national identity crisis which, later on, became the psychological reason for his transformation to a Marxist and his participation in the proletarian revolution which called for the transcending of all nation-states. When some of Sun Yat-sen’s radical supporters attacked the office of Shang Bao, which was the official newspaper of Kang Youwei’s reform party in Hong Kong in 1911, Feng Naichao experienced the whole event. It made him started to question the community conscience of nation-state, and finally became the fuse of his nation-state identity crisis. Feng Naichao decided to back to his motherland again in 1928, in order to advocate the revolutionary literature movement and play the role of the savior again as an elite proletarian revolutionist. At exactly the same time, he wrote his own experience of the Shang Bao event in a novel called The Hometown. By retelling the event in the language of Marxism, Feng turned the whole story into a parable about how the hero who was exiled by his motherland finally found a new community in the proletarian class that he can belong to. At the end of the parable, the salvation of an individual relied on the class revolution. A class identity filled the blank left by the absence of the nation-state identity, and the hero finally enrolled himself in a class instead of a nation-state. Feng’s retelling of the story of the Shang Bao event shows that in order to get rid of his nation-state identity crisis which bothered him for a long time, he chose to count on the salvation promised by historical materialism, and enrolled in the proletarian class which, in a Marxist’s history picture, is announced to be the only class that can transcend all the nation-states.
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A Method for Mapping Sensor Data to SSN Ontology
Xiaoming Zhang,Yunping Zhao,Wanming Liu 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.9
Along with the continuous development of the sensor network technology, sensors from all over the world are constantly producing sensor data. However, the sensor data from different source is hard to work together for lack of semantic. Fortunately, SSN ontology provide a way to represent sensor data semantically, but how to transform sensor data into the instance of SSN ontology conveniently is still an issue to be considered. This paper proposed a solution to map sensor data to SSN ontology automatically based on a predefined XML-based document. We design a mapping language SASML (Sensors Annotation and Semantic Mapping Language) which provide a schema to annotate sensors and sources so as to generate a XML document for mapping. Then, an algorithm (namely SDRM) is designed to automatically transform sensor data, which described by SASML, to RDF conforming to SSN ontology, according to the mapping document and the element correspondences between the SASML and SSN ontology. Further, a case study about sensor data from greenhouse is presented to illustrate our method, and a prototype is also developed to demonstrate the feasibility and effectiveness.
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