• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.487-494
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• 2022

With the recent demand for analysis using data, the size of the knowledge graph, which is the data to be analyzed, gradually increased, reaching about 82 billion edges when extracted from the web as a knowledge graph. A lot of knowledge graphs are represented in the form of Resource Description Framework (RDF), which is a standard of W3C for representing metadata for web resources. Because of the characteristics of RDF, existing RDF storages have the limitations of processing time overhead when converting and storing large amounts of RDF data. To resolve these limitations, in this paper, we propose a method of compressing and converting large amounts of RDF data into integer IDs using MapReduce, and vertically partitioning and storing them. Our proposed method demonstrated a high performance improvement of up to 25.2 times compared to RDF-3X and up to 3.7 times compared to H2RDF+.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.560-562
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• 2003

시멘틱 웹상에서는 정보 리소스들이 서로 의미적으로 연결되어. 이를 컴퓨터가 처리할 수 있다. Resource Description Framework (RDF)는 이런 의미적 연결성을 제공한다. 시멘틱 웹이 발전하기 위해서는 RDF 데이터를 효율적으로 관리하기 위한 방법이 매우 중요하다. 본 논문에서는 RDF 데이터를 XML 데이터베이스 시스템에 저장하고 이를 검색하는 기법을 제안한다 XML 데이터베이스 시스템을 사용함으로써 XML 데이터와 RDF 데이터를 통합적이고 효율적으로 관리할 수 있다. 또한. 효율적인 검색 방법과 성능을 향상시킬 수 있는 방법들을 제안하고 있다. 논문에서 제안한 질의 처리 기법은 기존 연구 보다 나은 성능을 보여준다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.110-116
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• 2021

W3C enacted RDF(Resource Description Framework based DCAT meta data standard, which is world-widely accepted so far. To guarantee the inter-operability and integrity of data from various sources and even from various countries, it is considered that transportation meta data should also follow the DCAT standard. But still, to represent the transportation domain-specific features, it is necessary to define new properties and vocabularies in addition to the DCAT standard. This research identified the additional properties and vocabularies for transportation metadata, considering uniqueness of transportation data. The revised RDF schema and RDF graph proposed in this research should be able to lead the transportation open data platform revitalization.

• Journal of KIISE:Databases
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• v.31 no.2
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• pp.195-204
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• 2004

The Semantic Web is proposed as the next generation Web technology. In the environment of the Semantic Web, resources are related with each other semantically and computers can process this information easily. The Resource Description Framework (RDF) supports this semantic relationship. RDF is the data model for describing metadata of the Web resources. To establish and develop the Semantic Web, methods for managing RDF data efficiently are the most important. So, in this research, we propose methods for storing and querying RDF data using an XML database system. Using an XML database system, XML data, main data of the Semantic Web, and RDF data, the metadata of XML data, can be managed in the same storage and by the same mechanism efficiently. In addition, we propose an efficient data retrieval method and several techniques to improve the system performance. Our query processing technique performs better than an existing system.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.129-151
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• 2017

Information modeling that is broadly applied in digital archiving process privides conceptual process that can be used to guide the creation of descriptions for the objects of preservation. However, it has faced with the limitations on substantially applying to the creation of preservation metadata records. This research proposes the concept of Resource Cluster in order to address these problems and efficiently describe the objects of preservation during digital archiving process. It also constructed Preservation Description Framework (PDF) based on RDF in order to substantially manifest preservation descriptions. This framework combines the structure of OAIS Reference Model and Functional Requirements for Bibliographic Records (FRBR) and can be an alternative approach to the creation of preservation metadata in more efficient and effective ways.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.109-116
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• 2021

Since RDF (Resource Description Framework) triples are modeled as graph, we cannot directly adopt existing solutions in relational databases and XML technology. In order to store, index, and query Linked Data more efficiently, we propose a convergence indexing method combined R*-tree and K-dimensional trees. This method uses a hybrid storage system based on HDD (Hard Disk Drive) and SSD (Solid State Drive) devices, and a separated filter and refinement index structure to filter unnecessary data and further refine the immediate result. We perform performance comparisons based on three standard join retrieval algorithms. The experimental results demonstrate that our method has achieved remarkable performance compared to other existing methods such as Quad and Darq.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.314-317
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• 2006

This study proposes an ontology design framework to support the cooperation among devices by using PROLOG, Conceptual Graph (CG), and Resource Description Framework (RDF). Quite a large number of representation languages for representing ontology on the Web have been established over the last decade. Most of these researches are focused on design of independent resources description. In Semantic Web, however, cooperation ontology will be needed. In this study, the CG could make an entire conceptual view of knowledge and RDF can represent that knowledge. Then the PROLOG could support the natural inference based on that knowledge. Therefore, our proposed ontology will be used in the designing of Semantic Web-based cooperation systems.

• Annual Conference on Human and Language Technology
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• 2014.10a
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• pp.215-220
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• 2014

본 논문은 LOD2 커뮤니티 과제 중 하나인 NLP2RDF를 한국어에 적용하면서 고안한 프레임워크에 대해 제시하고 있다. 이 프레임워크를 통해, 한국어 NLP2RDF는 다양한 한국어 자연언어처리 도구들로 부터의 결과물 및 다양한 한국어 언어 자원에 대한 활용도 높은 이용 방법에 대한 제시 및 국제적 상호 운용성을 위해 NIF(NLP Interchange Format)[1] 규격을 준수한 RDF(Resource Description Framework)를 생성하기 위한 방법론을 소개한다. 또한 NIF(NLP Interchange Format)를 통한 포맷 통일화 과정에서 발생하는 NIF 온톨로지의 불완전성에 대한 개선 방향에 대해서도 갼략하게 제시한다.

• Journal of KIISE:Databases
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• v.32 no.6
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• pp.593-602
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• 2005

Need for machine-understandable web (Semantic web) is increasing in order for users to exactly understand Web information resources and currently there are two main approaches to solve the problem. One is the Topic map developed by the ISO/IEC JTC 1 and the other is the RDF (Resource Description Framework), one of W3C standards. Semantic web supports all of the metadata of the Web information resources, thus the necessity of interoperability between the Topic map and the RDF is required. To address this issue, several conversion methods have been proposed. However, these methods have some problems such as loss of meanings, complicated structure, unnecessary nodes, etc. In this paper, a new method is proposed to resolve some parts of those problems. The method proposed is called NOWL (NO structural Warp and semantics Loss). NOWL method gives several contributions such as maintenance of the original a Topic map instance structure and elimination of the unnecessary nodes compared with the previous researches.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.7-13
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• 2006

The advent of Semantic Web has generated several methods that can access the data on the web. Thus, it is necessary to handle the data by accessing the current web ontology as well as the existing knowledge base system. Web ontology languages are RDF(Resource Description Framework), DAML-OIL, OWL(Web Ontology Language), and so on. This paper presents the creation and the method of the ontology object model that can access, represent, and process the web ontology and the existing knowledge base. Unlike the existing access approach of web ontology using the model on memory constructed by each parser, we divide the model of web ontology into three layers such as frame-based ontology layer, generic ontology layer, and functional ontology layer. Generic ontology layer represents the common vocabulary among several domains and functional ontology layer contains the dependent vocabulary to each ontology respectively. Our model gets rid of the redundancy of the representation and enhances the reusability. Moreover, it can provide the easy representation of knowledge and the fast access of the model in the application.