• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.127-142
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• 2006

As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative, coordinating, and information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. The purpose of this paper is to propose an ontology-based product family modeling framework. The ideas of product family, ontology and Semantic Web were investigated in depth. A Semantic Web is originally defined as a web of data that can be processed directly or indirectly by machines, which operates intelligently. A Web Ontology Language (OWL) is designed for use by applications that need to process the content of information instead of just presenting information to humans. For the selected cellular phone product family, ontology was constructed and implemented using prot$\acute{e}$g$\acute{e}$-2000.

• Korean Journal of Environmental Biology
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• v.20 no.4
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• pp.347-354
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• 2002

Near the Gapcheon, a new suburban city will be developed by the Ministry of Construction and Transportation, and a intracity highway will be constructed by Daejeon Metropolitan City. By these new plans, rapid disruption of environmental conditions near the Gapcheon will be anticipated. The new construction of the city and highway will raise a problem of environmental pollution and disruption of natural status of this area, and will have an adverse influence to environment of the Dunsan area and an industrial complex which are located at the downstream of the Gapcheon. This re-search was conducted on the Gapcheon area, Daejeon (Gasuwongyo to Wonchongyo) from August, 2001 to June, 2002 years. Microorganisms of Gapcheon are three forms, 17 varieties, 105 species, 58 geneva, 31 families, and totalled 125 taxa. And zooidal micro-organisms, one varieties, 16 species, 12 genera, eight families, and totalled 17 taxa. Hydrogen ion concentration of the stream is ranged from 7.10 to 9.98 with great variation, especially high below bridges of Gasuwongyo and Mannyeongyo. The clean water quality of the stream is still maintained very well due to dense distribution of diverse aqua-tic and swamp plants. Furthermore, species diversity of microorganisms in the stream does help to purify the quality of water, and to keep the health of the Gapcheon as natural. More environmentally controlled and continuous efforts to keep the Gapcheon in a natural status and to purify the quality of water should be made by Daejeon Metropolitan City Officials who ave now spending about 6G,5()0 million won for overall conservation plans of the stream (from 1999 to 2003 years).

• Journal of the Korean Society for Marine Environment & Energy
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• v.13 no.4
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• pp.313-326
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• 2010

This paper explores the changing aspects of the fishing village and fishermen since the beginning of the Saemangeum Reclamation Development Project in 1991. The Saemangeum Project was neither appropriate nor effective because it adopted an outdated development policy. It should have been obvious that as a result of the Project, tideland where various kinds of clams, crabs, oyster, and many other marine resources live would be lost. The fishermen in the affected area have suffered various hardships. The most acute problem at present is the disappearance of their subsistence activity that threatens their families' survival. Facing the crisis, they view fishing as their most valuable resource. Overlooking the Saemangeum Lake which is newly formed, they view the sea and tideland as their treasure boxes or bank deposits. From the beginning until now, the government did not pay attention to the concerns of the fishermen and their communities. It was an outcome of the typical top-down bureaucratic decision making. Until recently the government has persisted in its position that the primary goal of the reclamation project was to increase agricultural land. In July 23, 2009, the government suddenly announced the new Saemangeum development plan. The new plan focusing on the industrial city complex was quite different from the old plan. Regardless of the revised plan the lives of the villagers in the coastal areas have already been significantly altered. Most villagers no longer depend on fishery. Many have already left their homestead and moved away in order to search new jobs or find another coastal area where they can continue their fishing.

• Korean Journal of Ecology and Environment
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• v.55 no.1
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• pp.60-75
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• 2022

The Bayesian algorithm model is a model algorithm that calculates probabilities based on input data and is mainly used for complex disasters, water quality management, the ecological structure between living things or living-non-living factors. In this study, we analyzed the main factors affected Korean Estuary Trophic Diatom Index (KETDI) change based on the Bayesian network analysis using the diatom community and physicochemical factors in the domestic estuarine aquatic ecosystem. For Bayesian analysis, estuarine diatom habitat data and estuarine aquatic diatom health (2008~2019) data were used. Data were classified into habitat, physical, chemical, and biological factors. Each data was input to the Bayesian network model (GeNIE model) and performed estuary aquatic network analysis along with the nationwide and each coast. From 2008 to 2019, a total of 625 taxa of diatoms were identified, consisting of 2 orders, 5 suborders, 18 families, 141 genera, 595 species, 29 varieties, and 1 species. Nitzschia inconspicua had the highest cumulative cell density, followed by Nitzschia palea, Pseudostaurosira elliptica and Achnanthidium minutissimum. As a result of analyzing the ecological network of diatom health assessment in the estuary ecosystem using the Bayesian network model, the biological factor was the most sensitive factor influencing the health assessment score was. In contrast, the habitat and physicochemical factors had relatively low sensitivity. The most sensitive taxa of diatoms to the assessment of estuarine aquatic health were Nitzschia inconspicua, N. fonticola, Achnanthes convergens, and Pseudostaurosira elliptica. In addition, the ratio of industrial area and cattle shed near the habitat was sensitively linked to the health assessment. The major taxa sensitive to diatom health evaluation differed according to coast. Bayesian network analysis was useful to identify major variables including diatom taxa affecting aquatic health even in complex ecological structures such as estuary ecosystems. In addition, it is possible to identify the restoration target accurately when restoring the consequently damaged estuary aquatic ecosystem.