• Journal of the Korean Society for Library and Information Science
• /
• v.56 no.4
• /
• pp.5-28
• /
• 2022

In this study, LD construction cases of overseas libraries were analyzed with focus on published datasets, reused vocabulary, and interlinked external datasets, and based on the analysis results, basic data on LD construction plans of domestic libraries were obtained. As a result of the analysis of 21 library cases, overseas libraries have established a faithful authority LD and conducted new services using published LDs. To this end, overseas libraries collaborated with other libraries and cultural institutions within the region, within the country, and nationally under the leadership of the library, and based on this cooperation, a specialized dataset was published. Overseas libraries used Schema.org to increase the visibility of published LDs, and used BIBFRAME for subdivision of description to define various entities and build LDs based on the defined entities. Overseas libraries have utilized various defined entities to link related information, display results, browse, and download in bulk. Overseas libraries were interested in the continuous up-to-date of interlinked external datasets, and directly utilized external data to reinforce catalog information. In this study, based on the derived implications, points to be considered when issuing LDs by domestic libraries were proposed. The research results can be used as basic data when future domestic libraries plan LD services or upgrade existing services.

• Journal of the Korean Society for information Management
• /
• v.31 no.4
• /
• pp.249-266
• /
• 2014

In South Korea, systems related to the provision of public data were recently implemented. As a result, policy changes have been made that are headed in the direction of actively providing open access to data held by public institutions, such as government agencies and local municipalities. The purpose of the open I will be divided into two broad. To ensure the transparency of government operations, and is intended to satisfy the right to know the people. The other one is to create national interest by utilizing the public data as one country endowment assets. In this study, we analyze the open situation of public data, were presented the improvement measures. Range of research, the public data that local government owns, to determine to have a central information and other limitations and characteristics, Seoul the beginning to the seventeen regional support municipality 228 that you have held for city districts were census. According to the research results, local governments, themselves produced, is a relatively reluctant to disclosure and understanding of the list of public data that are holdings. According to the research results, local governments, themselves produced, is a relatively reluctant to disclosure and understanding of the list of public data that are holdings, also emphasizes the conservative value than take advantage of value have had. Therefore, it was determined that there is a need to resolve several issues through disclosure via a linked data format as a strategy to increase the openness and utilization of local public data.

• Journal of Korean Library and Information Science Society
• /
• v.45 no.4
• /
• pp.429-455
• /
• 2014

The information of figures in science which could induce interest in science and have educational importance is the value-added content through information sharing and connectivity. In this study, we analyzed domestic and overseas cases of Linked Open Data(LOD) that are being increased recently in order to provide a better service through information sharing and utilization of scientific figures. We suggested an efficient scientific figures ontology and the method for LOD construction reflecting the results of the analysis. We also presented plans for the interlinking among various external resources and for promoting LOD information use.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.11a
• /
• pp.975-977
• /
• 2017

본 논문은 링크드 오픈 데이터(Linked Open Data)의 일종인 DBpedia 개체를 위치기반으로 검색하여 지도상에 표시해주고, 표시된 개체중 하나를 선택하게 되면 개체에 관한 RDF 형태의 데이터를 파싱하여 개체에 관한 기본적인 정보와 사진과 외부로의 링크 등을 제공한다. 또한 개체가 가지는 특성을 지정하여 지도에 선택적으로 표시하는 필터링 기능을 제공한다. 이러한 웹 애플리케이션을 개발하기 위해 오픈소스 웹 프레임워크인 루비 온 레일즈(Ruby on Rails)를 사용하였고, HTML5와 Google Map API를 활용한 반응형 웹 애플리케이션으로 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.831-832
• /
• 2017

링크드오픈데이터를 통해 다양한 분야의 RDF 데이터가 공개되고 있으며 그 양이 지속적으로 증가하고 있다. RDF 데이터는 그래프 형태이기 때문에 대용량 RDF 데이터를 효율적으로 관리하기 위한 그래프 데이터베이스에 대한 연구가 중요하다. 2개의 RDF 리소스가 그래프 상에서 연결됐는지 여부를 알아내는 기능은 RDF 요소간 연관관계를 식별하는 데에 관련이 있기 때문에 그래프 데이터베이스의 중요한 기능 중 하나이다. 대용량 그래프 데이터에 대한 그래프 도달가능성을 빠르게 처리하기 위해서 2-Hop 레이블링 변형들이 제안됐다. 최근에 2-Hop 레이블 크기를 줄이기 위해 2-Hop 레이블링이 진행되기 전에 노드 아이디를 부여하는 방법이 제안됐다. 하지만 그래프의 지역 정보만을 활용하기 때문에 복잡한 형태의 그래프에 대해서는 비효율적이라는 문제점이 있다. 본 논문에서는 그래프의 전역 정보를 반영할 수 있는 Topological Sort를 활용한 노드 아이디 부여 기법에 대한 설계를 제안한다.

• Journal of the Korean Society for information Management
• /
• v.34 no.1
• /
• pp.341-371
• /
• 2017

Recently, the web service environment has changed from document-centered to data-oriented focus, and the Linked Open Data (LOD) exists at the core of the new environment. Specific procedures and methods were examined to build the LOD of records information in accordance with this trend. With the service sustainability of small-scale archive in consideration, an exemplification on LOD building process by utilizing open source software was developed in this paper. To this end, a 5-step service framework for LOD construction was proposed and applied to a collection of diary records from 'Human and Memory Archive'. Proof of Concept (POC) utilizing open source softwares, Protege and Apache Jena Fuseki, was conducted according to the proposed 5 step framework. After establishing the LOD of record information by utilizing the open source software, the connection with external LOD through interlinking and SPARQL search has been successfully performed. In addition, archives' considerations for LOD construction, including improvement on the quality of content information, the role of the archivist, were suggested based on the understanding obtained through the LOD construction process of records information.

• Journal of the Korean Society for Library and Information Science
• /
• v.51 no.3
• /
• pp.163-188
• /
• 2017

This study aims to propose disaster safety information service model based on LOD for effective management and dissemination of the information. To achieve the aim of this study, current state of disaster safety information was analyzed through online search and face-to-face interviews, and then the information was divided into 6 types. Finally, this study proposed specific process of building disaster safety information LOD service with considerations reflecting the information characteristics. The process for building LOD was based on Guidelines for Building Linked Data written by National Information Society Agency. Especially, ontology concept model was defined by using standard lexical resources and modeling tools based on 6 types of disaster safety information, and classes and properties were proposed. The results of this study will make disaster safety information more useful for common people.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.1047-1048
• /
• 2017

본 논문은 위치 기반 DBpedia 모바일 브라우저 개발에 관한 내용으로 사용자의 현재 위치를 중심으로 Google Map과 DBpedia를 매쉬업하여 주변의 DBpedia 개체를 표시하고, 링크를 통해 추가적인 RDF 시맨틱 정보를 탐색할 수 있는 기능을 제공한다. DBpedia는 Wikipedia로부터 구조화된 데이터를 추출하여 RDF 형식으로 저장한 지식베이스로서 오늘날 엄청난 규모의 빅데이터로 발전되고 있는 링크드 오픈 데이터(Linked Open Data)에서 가장 핵심으로 부각되고 있다. DBpedia는 약 73만개의 장소 및 지역에 관한 정보를 포함하여 약 4백 58만 가지의 다양한 개체들에 관한 정보를 가지고 있으며 여러 종류의 위치기반 데이터 세트도 보유하고 있다. 본 연구에서 개발된 브라우저는 이러한 데이터 세트 내용을 스마트폰의 위치정보서비스를 활용하여 주변에 있는 장소나 건물 등을 지도에 표시하고, 해당 개체에 대한 간단한 요약 정보와 추가적인 시맨틱 정보 검색을 위한 링크를 제공한다.

• The Journal of Bigdata
• /
• v.4 no.2
• /
• pp.195-205
• /
• 2019

Linked Open Data (LOD) is rated as the best of any kind of data disclosure, and allows you to search related data by linking them in a standard format across the Internet. There is an increasing number of cases in which relevant data are constructed in the LOD form in the global environment, but in the domestic healthcare sector, the disclosure of data in the form of LOD is still at the beginning stage. In this paper, we introduce a case of LOD platform construction that provides services by linking domestic and international related data by LOD method, based on the data of Korean medical research paper data and health care big data linkage platform. Linking all data from each DB into an LOD requires a lot of time and effort, and is basically an infrastructure task that government or public institutions should be in charge of rather than the private sector. In this study, ten domestic and foreign LOD sites were linked with only a portion of each DB, enabling users to link data from various domestic and foreign organizations in a convenient manner.

• Journal of the Korea Convergence Society
• /
• v.12 no.7
• /
• pp.53-60
• /
• 2021

LOD-based recommender systems usually leverage the data available within LOD datasets, such as DBpedia, in order to recommend items(movies, books, music) to the end users. These systems use a semantic similarity algorithm that calculates the degree of matching between pairs of Linked Data resources. In this paper, we proposed a new approach to measuring semantic distance in an LOD-based recommender system by assigning weights converted from user ratings to links in the LOD graph. The semantic distance measurement model proposed in this paper is based on a processing step in which a graph is personalized to a user through weight calculation and a method of applying these weights to LDSD. The Experimental results showed that the proposed method showed higher accuracy compared to other similar methods, and it contributed to the improvement of similarity by expanding the range of semantic distance measurement of the recommender system. As future work, we aim to analyze the impact on the model using different methods of LOD-based similarity measurement.