Generating OWL Ontology from Relational Database

被引:2
|
作者
Choi, Ji Woong [1 ]
Kim, Myung Ho [1 ]
机构
[1] Soongsil Univ, Sch Comp Sci & Engn, Seoul, South Korea
关键词
Relational Database; OWL; Semantic Web; Ontology; OWL View; Reverse Engineering; Ontology Learning;
D O I
10.1109/MUSIC.2012.17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Semantic Web aims to enrich the existing Web by building an infrastructure layer of a web of data. Three-quarters of the data on the Web come from relational databases. Thus, in the context of the Semantic Web, it has become one of the most important topics to generate OWL ontologies from the legacy databases. For this purpose, the existing approaches typically define how to map the databases to the ontologies. However, the mappings are designed to work under highly normalized database schemas and to be carried out through a batch process of dumping database contents to the ontology repository for ontology population. The approaches can't contribute usefully to the proliferation of ontologies. In this paper, we propose a new set of mapping rules based on a view-based approach, which enables ontologies to be served even without their population through the massive dump process in advance. Consequently, the ontologies out of our approach can play as the complete OWL-described view on the database because they explicitly represent the semantics of relational model objects and operations. Compared with existing approaches, our approach is applicable to a wider range of database schemas, and besides it is designed to extract more meaningful relationships between entities by reasoning.
引用
收藏
页码:53 / 59
页数:7
相关论文
共 50 条
  • [21] Translating Relational & Object-Relational Database Models into OWL Models
    Albarrak, Khalid M.
    Sibley, Edgar H.
    [J]. PROCEEDINGS OF THE 2009 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2008, : 336 - 341
  • [22] A Tool for Generating Relational Database Schema from EER Diagram
    Simasatitkul, Lisa
    Suwannasart, Taratip
    [J]. INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, IMECS 2012, VOL I, 2012, : 801 - 805
  • [23] Research on OWL Ontology Learning Method Based on Relational Schema
    Liao, Chun-hua
    Xiong, Guang-yao
    Chen, Chun-lei
    [J]. 2ND INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION TECHNOLOGIES AND APPLICATIONS (MSOTA 2018), 2018, : 159 - 164
  • [24] Improving the Algorithm for Mapping of OWL to Relational Database Schema
    Ta, Chien D. C.
    Thi, Tuoi Phan
    [J]. MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2015, 2015, 9166 : 130 - 139
  • [25] A novel approach for learning ontology from relational database: from the construction to the evaluation
    Bilal Ben Mahria
    Ilham Chaker
    Azeddine Zahi
    [J]. Journal of Big Data, 8
  • [26] A novel approach for learning ontology from relational database: from the construction to the evaluation
    Ben Mahria, Bilal
    Chaker, Ilham
    Zahi, Azeddine
    [J]. JOURNAL OF BIG DATA, 2021, 8 (01)
  • [27] Ontology extraction from relational database: Concept hierarchy as background knowledge
    Santoso, Heru Agus
    Haw, Su-Cheng
    Abdul-Mehdi, Ziyad T.
    [J]. KNOWLEDGE-BASED SYSTEMS, 2011, 24 (03) : 457 - 464
  • [28] Mining query log to assist ontology learning from relational database
    Zhang, J
    Xiong, M
    Yu, Y
    [J]. FRONTIERS OF WWW RESEARCH AND DEVELOPMENT - APWEB 2006, PROCEEDINGS, 2006, 3841 : 437 - 448
  • [29] Ontology Learning from Relational Database: Opportunities for Semantic Information Integration
    Ma, Chuangtao
    Molnar, Balint
    [J]. VIETNAM JOURNAL OF COMPUTER SCIENCE, 2022, 09 (01) : 31 - 57
  • [30] Storing Large Scale Ontology in Relational Database
    Wang, Song-Qing
    Miao, Zhuang
    Du, Ying-Peng
    Li, Yang
    Wang, Jia-Bao
    [J]. 2016 INTERNATIONAL CONFERENCE ON SERVICE SCIENCE, TECHNOLOGY AND ENGINEERING (SSTE 2016), 2016, : 13 - 19