• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.169-171
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• 2006

인터넷이 보다 대중화되고 광범위해지면서 의미적 관계에 따라 정보를 저장하는 온톨로지 시스템이 미래의 지능적인 컴퓨터를 위한 적절한 수단으로 각광받고 있다. 하지만 온톨로지와 같은 메타 데이터를 사용한 방법은 그 사용 목적 또는 작성자의 개인적인 관점에 따라 다양한 이질적인(heterogeneous) 형태를 띠게 된다. 이러한 이질적인 정보들은 데이터가 다른 시스템에서 처리되는 것을 어렵게 한다. 정보의 상호운용성을 보장하기 위해서는 서로 다른 온톨로지 시스템간의 개체에 대한 유사도를 평가할 수 있어야 한다. 따라서 두 개의 다른 OWL 언어로 정의된 온톨로지 사이에서 두 개의 엔티티의 유사도를 측정하기 위한 새로운 유사도 척도(similarity measure)를 제안하였다. 이는 온톨로지 상의 이질적인 정보를 통합하는데 사용되며, 온톨로지 비교(comparison), 정렬(alignment), 매칭(matching) 그리고 병합(merging)의 기반이 되는 중요한 기법이다. 새로운 유사도 척도는 특정한 매핑 정보를 사용하지 않고 온톨로지 언어의 속성을 기반으로 하므로 OWL을 사용한 온톨로지 간의 유사도 검색에 곧바로 적용될 수 있는 장점을 지닌다.

• Journal of Korea Multimedia Society
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• v.10 no.7
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• pp.807-816
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• 2007

Since W3C proposed XML in 1996, XML documents have been widely spreaded in many internet documents. Because of this, needs for research related with XML is increasing. Especially, it is being well performed to study XML management system for storage, retrieval, and management with XML Documents. Among these studies, XRel is a representative study for XML management and has been become a comparative study. In this study, we suggest XML documents management system based on Relational DataBase Management System. This system is stored not all possible path expressions such as XRel, but filtered path expression which has text value or attribute value. And by giving each node Node Expression Identifier, we try to match given Node Expression Identifier. Finally, to prove efficiency of the suggested technique, this paper shows the result of experiment that compares XPath query processing performance between suggested study and existing technique, XRel.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.183-183
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• 2010

위치기반서비스(Location Based Service)는 갈수록 고도화 되어 가고 있다. 특히 최근의 대형 포털을 중심으로 지오웹 서비스가 활성화 되어 있고 이를 스마트폰과 같은 개인용 이용기기를 통해 연속적으로 제공하려는 경향이 뚜렷하다. 이와 같은 시점에서 정부와 민간에서 구축 중이거나 보유 중인 전국적 규모의 데이터 간 상호 연동과 융합을 도모하려는 시도 또한 불가결하다. 이는 고도화된 LBS를 위하여 반드시 필요한 과정이기 때문이다. 이에 따라 몇 가지 주요한 전국 데이터를 대상으로 상호 연동과 융합을 위한 기술개발을 시도하였다. 우선 도로명주소기본도와 수치지형도 간 POI의 연계를 위한 연구를 수행하고 있다. 이 연구에서는 두도면 내의 POI를 대상으로 다양한 매칭과 이에 기반 한 의사결정 방법론을 이용하여 자동으로 상호 인식 및 연계가 될 수 있도록 하고 있다. 다음으로 지적도와 수치지형도 간의 객체 매칭에 관한 연구이다. 수치지형도와 지적도의 불부합으로 인하여 그 동안 지적도를 수치지형도에 맞춘 형태의 편집지적도를 지속적으로 생산하여 왔고 앞으로도 그럴 것이다. 문제는 여기에 필요한 많은 예산이다. 만일 수치지형도와 지적도를 자동으로 매칭하여 편집지적도를 자동으로 생산할 수 있게 된다면 많은 예산 절감과 함께 편집지적도의 현시성을 확보할 수 있게 될 것이다. 다음으로 항공사진과 도로망도의 매칭이다. 현재 주요 포털에서 제공하고 있는 항공사진 기반의 도로망도는 기복변위와 같은 문제로 인하여 시각적으로 많은 위치오차를 보이고 있다. 만일 항공사진의 도로영역을 자동으로 추출하여 벡터 도로망도와 매칭을 할 수 있다면 보다 시각적으로 안정된 항공사진 상의 도로망도를 제공할 수 있게 되고 나아가 이는 차량이나 보행자 네비게이션에 매우 요긴하게 이용될 수 있을 것이다. 다음으로 서로 LOD가 다른 도로망도의 매칭 문제이다. 많은 기관에서 독자적으로 생산한 도로망도는 LOD의 상이에 기인한 문제가 많아 서로 연계 활용되지 않는다. 이를 자동으로 매칭하여 서로 연계할 수 있다면 두 도로망도가 보유하고 있는 속성정보를 공동으로 이용할 수 있는 이익을 얻게 된다. 다음으로 지도 일반화 기술이다. 지도일반화는 지적도내 수치지형도와 같은 대규모 데이터를 스마트폰과 같은 저용량 사양의 기기에 서비스 할 때 불가결한 기술이다. 지도상 객체들의 기하학적 정보 손실을 최소화하면서 메모리 측면에서 경량의 지도를 자동으로 만들어 낸다면 이는 매우 요긴하게 이용될 것이다. 마지막으로 보행자 네트워크의 생성기술이다. 보행자 네트워크는 그 상세함과 정보용량에 있어서 차량용 네트워크에 견줄 수 없다. 이를 현행의 차량용 네트워크와 같이 수동으로 생성하는 데에는 경제적으로나 시간적으로 막대한 투자가 필요하다. 따라서 이를 기존의 공간정보들을 활용하여 자동으로 생성해 낼 수 있다면 그 파급효과는 매우 크리라 판단된다. 본 발표에서는 위와 같은 주제에 관하여 그간의 연구 성과를 개략적으로 소개해본다.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1063-1072
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• 2004

In the ASP(Application Service Provider) business, applications using database sometimes require some data from clients' databases. These days such data are extracted from client database using manual database operations as an EXCEL file and the ASP, once receiving this file, transfers it into the application's database using manual database operations. This paper describes how to deal with data transmitting between the client database and ASP database on the web without using database manual operations for data extraction and insertion. We propose a framework which enables to transmit client data in a systematical way, to match different attribute names of each database for sharing same attribute values, and to avoid exposing information about the network path of client database to the ASP. This approach consists of two steps of data processing. The first is extracting data from client database as XML format by using a downloaded client program from ASP site, the second is uploading and storing the XML file into the ASP database. The implemented prototype system shows the suggested data integration paradigm is valid and ASP business needing integration of client database can be activated using it.

• Journal of the Korean Institute of Gas
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• v.25 no.5
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• pp.78-87
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• 2021

This paper analyzes the range and attributes of the traffic information service between domestic public institutions and private companies, and suggests the possibility of joint application of node-link information for each company and the possibility of joint use of private traffic information. For this purpose, the present condition and attributes of domestic and foreign traffic information node-links (link length, node ID number, U-turn information, lane information, left turn information, right turn information, etc.) were analyzed. The analysis targets, the node-link of the national standard node and the two companies were analyzed. The area of the experiment was selected in Jongno-gu, Seoul, where standard-link information is complex, traffic volume is high, and various standard-links exist. The experiment was conducted by comparing and analyzing the traffic information attributes of three types of node-links and performing node-links overlapping matching (utilizing encoding_decoding method), and the possibility of matching node-links and attributes of different specifications was analyzed using Open LR technique.

• Journal of Cadastre & Land InformatiX
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• v.52 no.1
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• pp.105-118
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• 2022

The demand for information related to 3D spatial objects model in metaverse, smart cities, digital twins, autonomous vehicles, urban air mobility will be increased. 3D model construction for spatial objects is possible with various equipments such as satellite-, aerial-, ground platforms and technologies such as modeling, artificial intelligence, image matching. However, it is not easy to quickly detect and convert spatial objects that need updating. In this study, based on spatial information (features) and attributes, using matching elements such as address code, number of floors, building name, and area, the converged building DB and the detected building DB are constructed. Both to support above and to verify the suitability of object selection that needs to be updated, one system prototype was developed. When constructing the converged building DB, the convergence of spatial information and attributes was impossible or failed in some buildings, and the matching rate was low at about 80%. It is believed that this is due to omitting of attributes about many building objects, especially in the pilot test area. This system prototype will support the establishment of an efficient drone shooting plan for the rapid update of 3D spatial objects, thereby preventing duplication and unnecessary construction of spatial objects, thereby greatly contributing to object improvement and cost reduction.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.156-163
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• 2006

CF systems are widely used in recommendation due to the easy implementation and the outstanding performance. They have several problems such as the sparsity problem, the first-rater problem, and recommending explanation. Many studies are suggested to resolve these problems. While the influence of the sparsity problem lessens as the users' data are accumulated, but the first-rater problem is originated from the CF systems and there are a number of researches to overcome the disadvantages of CF systems based on the content-based methods. Also CF systems are black boxes, providing no explanation of working of the recommendation. In this paper we present a content-based prediction system based on the preference words, which exposes the reasoning behind a recommendation. Our system predicts user's rating of a new movie and we suggest a semiotic network-based method to solve the mismatching problem between the items. For experimental comparison, we used EachMovie and IMDb dataset.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.798-809
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• 2020

Evidence-based policymaking and assessments for scientific administration have increased the importance of statistics (data) utilization. Statistics can explain specific phenomena by providing numerical values and are a public resource for national decision making. Due to these inherent attributes, statistics are utilized as baseline and base data for government policy determinations and the analysis of various phenomena. However, compared to the importance, the role of statistics is limited, and statistics are often used as simple abstracts, produced mainly for suppliers, not for consumers' perspectives to create value. This study explores the statistical data and other attributes that can be utilized for policies or research to address the problems mentioned above. The baseline statistical data used in this study is from the Maritime Distress Accident Statistical Yearbook published by the South Korean Coast Guard, and other additional attributes are from text analyses of vessel casualty situation reports from the South Korean Maritime Police. Collecting 56 attributes drawn from the text analysis and executing an EDA resulted in 88 attribute unions: 18 attribute unions had a satisfactory significance probability (p-value < .05) and a strong correlation coefficient above 0.7, and 70 attribute unions had a middle correlation. (over 0.4 and under 0.7). Additionally, to utilize the extra attributes discovered from the EDA politically, a keyword analysis for each detailed strategy of the disaster Preparation basic plan was executed, the utilization availability of the attributes was obtained using a matching process of keywords, and the EDA deducted attributes were examined.

• Journal of Energy Engineering
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• v.25 no.1
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• pp.131-144
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• 2016

Damage occur frequently around the world on climate change and the main cause of greenhouse gas emissions regulation is growing. To this end, the government has built integrated management system for national building energy. The building energy information is total 6.8 million complex. Integrated management system for national building energy database are matched building registers information and energy information of the supply agencies. However, the matching process has its limitations so advanced work is in progress continuously. This study analyzed integrated management system for national building energy database quality and limitations and deduce improvement plan to increase system reliability and availability. The existing database matching average rate is 85.6%. 58.2% of the total non-matching data type has no building information. To ensure the ease of new database matching and the accuracy of the existing database matching, address standarization and building properties system are needed between building information and energy information. Also, The system construction is required to include information on other energy sources like petroleum energy which has high proportion of non-urban areas and small residential areas and renewable energy which has high potential in development and utilization.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.467-474
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• 2010

The market of Internet-based fashion/coordination shopping malls have been growing rapidly year by year. In accordance with this growth, Internet fashion shopping malls are also making a lot of efforts to increase their revenue by displaying new fashion products on a high spot or by having professional models wear them to make them more attractive to the customers. If online shopping malls have the functionality of automatically calculating the matching degree of lower and upper clothes, it could play a role of off-line shop assistants and provide a more convenient way of purchasing fashion products for customers. In this paper, we present a learning system adopting the content-based filtering method for online shopping malls, which automatically calculates the matching degree of lower and upper clothes and recommends the most well-matched pair.