• Title/Summary/Keyword: Semenatic Web

Search Result 2, Processing Time 0.017 seconds

A study on Development of RDF Triple Storage System for Retrieval of Metadata in the Semantic Web (시맨틱 웹에서의 메타데이터 검색을 위한 RDF 저장 구조 및 시스템의 개발에 관한 연구)

  • Park, Ji-Hyoung;Lee, Myung-Jin;Hong, June-Seok
    • The Journal of Society for e-Business Studies
    • /
    • v.12 no.2
    • /
    • pp.291-304
    • /
    • 2007
  • The Resource Description Framework(RDF) utilized for the representation and storage of information in various application, plays an important role in the Semantic Web, the next generation web. A number of RDF systems have been implemented for retrieval of RDF metadata. However, they do not provide the sufficient performance for the querying function of practical application system. In this paper we describe the design and implementation of RDF system, SMARTTriple, which has a RDF storage structures using index map and provides the better performance than the previous systems. We present a performance comparison results with the well-known RDF systems. SMARTTriple will be a great contribution to the research and development of Semantic Web application.

  • PDF

A Study on Methodology for Efficient Ontology Reasoning in the Semantic Web (시맨틱 웹에서의 효율적인 온톨로지 추론을 위한 개선방법에 관한 연구)

  • Hong, June-Seok
    • The Journal of Society for e-Business Studies
    • /
    • v.13 no.3
    • /
    • pp.85-101
    • /
    • 2008
  • The semantic web is taken as next generation standards of information exchange on the internet to overcome the limitations of the current web. To utilize the information on the semantic web, tools are required the functionality of query search and reasoning for the ontology. However, most of semantic web management tools cannot efficiently support the search for the complex query because they apply Triple-based storage structure about RDF metadata. We design the storage structure of the ontology in corresponding with the structure of ontology data and develop the search system(SMART-DLTriple) to support complex query search efficiently in this research. The performance of the system using new storage structure is evaluated to compare with the popular semantic web management systems. The proposed method and system make a contribution to enhancement of a practical ontology reasoning systems due to improved performance of the ontology search.

  • PDF