• Title/Summary/Keyword: unregistered building

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A Study on Qualification for Possessory Lien on and Auction of Unregistered Buildings (미완성건물의 유치권 및 강제경매 대상적격에 관한 연구)

  • Lee, Jae Seog;Jung, Bo Seon;Lee, Sang Youb
    • Korea Real Estate Review
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    • v.28 no.4
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    • pp.53-62
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    • 2018
  • When the contractor does not receive payment for his work due to the client's funding default, he can take various legal measures against the client, in addition to refusing to transfer the building under construction to the client. To claim top payment priority and to demand the equal enforcement of the law by applying for compulsory auction or auction by exercising the right of lien, the contractor should know the construction phase or the point in time when he could exercise a lien or apply for a forced auction of the unregistered building. This study was conducted to examine qualification for lien and auction of an unregistered building. First, the general criteria for qualification for lien from qualification for ownership were examined. This means that an unregistered building can be subject to lien from a certain point in time in the construction phase, where the ownership is qualified as an independent real estate with minimal pillars, roofs, and walls. Second, the contents of the narrow and broad auction qualification were analyzed. As the contractor can select the appropriate legal means to reimburse the construction cost for the unregistered building, the results of this study are expected to provide the bases for qualification for lien on and auction of unregistered buildings.

A Study on the Patterns and Characteristics of Spatial Changes in Unregistered Private House Gardens (문화재 미등록 민가정원의 공간변화 양상 및 특성 연구)

  • Lee, Kyeong-Mi;Bae, Jun-Gyu;Shin, Hyun-Sil
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.40 no.3
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    • pp.67-73
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    • 2022
  • This study tracked the changing process of unregistered private house gardens by using the form at the time of the construction of gardens as the prototype of each garden, investigated the spatial value of the garden, and discussed the historical spatial value of unregistered private house gardens in terms of inheritance and change of traditional gardens. To this end, targeting on unregistered private house gardens in Gangwon-do, which are in danger of preserving their gardens due to the recent increase in the number of designated cultural heritage dismantled, the patterns of unregistered private house gardens, their characteristics and values were identified through the spatial change of the garden, and the following results were derived. First, the unregistered private house gardens were able to inherit and maintain the form of a traditional garden, being located in a clan village. The garden space was divided by the influence of Confucian philosophy, and the components of the garden, tree species and planting methods appeared differently. In other words, the use of garden components according to the status hierarchy appeared. Second, space reduction was continuously confirmed at four target sites. The reduced spaces are garden spaces, and part of the garden was attributed to the state due to the building of new road and environmental improvement project. The reduced spaces are garden spaces, and part of the garden was attributed to the state due to the new road and environmental improvement project. Third, eight old big trees over 100 years old were identified in three of the four target sites, and the garden components such as stone water tanks, quickset doors, and ponds were commonly identified in Korea, China, and Japan during the Joseon Dynasty, inheriting the historicity of the traditional garden.

A Study on Registering Buildings Into LIS (건축물을 토지정보시스템에 등록하는 방법의 연구)

  • 이승규;김정희;송연경
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.4
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    • pp.383-392
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    • 2003
  • In this study, we investigated 3 methods for precise registration of buildings into LIS. They are : 1. using digital topographic maps, 2. using registered building maps, 3. cadastral surveyings on sites. The first method was found that it hardly met required precision, and the second one was also lack of precision because of unmatched actual buildings with registered ones and many unregistered buildings. The last method produced the most precise results, although it required laborious cadastral surveyings on sites. Considering the importance of building registration as it shows the ownerships of properties, the third method was thou인t to be desirable.

A Study on Registering Buildings into LIS (LIS DB 구축시 건축물 등록방안에 관한 연구)

  • 이재원;박운용;문두열;안창환
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.581-585
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    • 2004
  • In this study, we investigated 3 methods for precise registration of buildings into LIS. They are : 1. using digital topographic maps, 2. using registered building maps, 3. cadastral surveyings on sites. The first method was found that it hardly met required precision, and the second one was also lack of precision because of unmatched actual buildings with registered ones and many unregistered buildings. The last method produced the most precise results, although it required laborious cadastral surveyings on sites. Considering the importance of building registration as it shows the ownerships of properties, the third method was thought to be desirable.

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A Study on Building System of Association Technology Information Management & Dissemination (협회 기술정보관리 및 유통 시스템 구축에 관한 연구)

  • Kim, Byung-Kyu;Kang, Mu-Yeong;Choi, Seon-Heui
    • Journal of Information Management
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    • v.37 no.3
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    • pp.117-137
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    • 2006
  • Science and technology association is producing huge amount of information through the academic activities related in industrial technology between the members and becoming major provider of industrial technology information. But the infrastructure in its individual institute of institution is very poor, which makes systematic management and service unavailable. So, KISTI developed the management and logistics system collecting and processing various technical information produced by institutes and managing as well as distributing through the web. We studied cases matched with requirements of institution and opted for the modeling, using web based application and information retrieval system. Finally, the members of the institution as well as unregistered users can access to the technical reports database easily and quickly. We are planning to extend the range of target institutes and make a progress the system to high functional level.

A Semi-Automatic Semantic Mark Tagging System for Building Dialogue Corpus (대화 말뭉치 구축을 위한 반자동 의미표지 태깅 시스템)

  • Park, Junhyeok;Lee, Songwook;Lim, Yoonseob;Choi, Jongsuk
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.5
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    • pp.213-222
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    • 2019
  • Determining the meaning of a keyword in a speech dialogue system is an important technology for the future implementation of an intelligent speech dialogue interface. After extracting keywords to grasp intention from user's utterance, the intention of utterance is determined by using the semantic mark of keyword. One keyword can have several semantic marks, and we regard the task of attaching the correct semantic mark to the user's intentions on these keyword as a problem of word sense disambiguation. In this study, about 23% of all keywords in the corpus is manually tagged to build a semantic mark dictionary, a synonym dictionary, and a context vector dictionary, and then the remaining 77% of all keywords is automatically tagged. The semantic mark of a keyword is determined by calculating the context vector similarity from the context vector dictionary. For an unregistered keyword, the semantic mark of the most similar keyword is attached using a synonym dictionary. We compare the performance of the system with manually constructed training set and semi-automatically expanded training set by selecting 3 high-frequency keywords and 3 low-frequency keywords in the corpus. In experiments, we obtained accuracy of 54.4% with manually constructed training set and 50.0% with semi-automatically expanded training set.