A Universal Ontology-based Approach to Data Integration

被引:0
作者
Olive, Antoni [1 ]
机构
[1] Univ Politecn Catalunya BarcelonaTech Catalonia, Barcelona, Spain
来源
ENTERPRISE MODELLING AND INFORMATION SYSTEMS ARCHITECTURES-AN INTERNATIONAL JOURNAL | 2018年 / 13卷
关键词
Universal Ontology; Data Integration; Mediated Schema; Conceptual Modelling;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
One of the main problems in building data integration systems is that of semantic integration. It has been acknowledged that the problem would not exist if all systems were developed using the same global schema, but so far, such global schema has been considered unfeasible in practice. However, in our previous work, we have argued that given the current state-of-the-art, a global schema may be feasible now, and we have put forward a vision of a Universal Ontology (UO) that may be desirable, feasible, and viable. One of the reasons why the UO may be desirable is that it might solve the semantic integration problem. The objective of this paper is to show that indeed the UO could solve, or at least greatly alleviate, the semantic integration problem. We do so by presenting an approach to semantic integration based on the UO that requires much less effort than other approaches.
引用
收藏
页码:110 / 119
页数:10
相关论文
共 50 条
[31]   Research of ontology-based personalized query approach from heterogeneous distributed data resource [J].
Li, GY ;
An, LH ;
Yu, Y .
ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 7, 2005, :651-656
[32]   An ontology-based data mediation framework for semantic environments [J].
Mocan, Adrian ;
Cimpian, Emilia .
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2007, 3 (02) :69-98
[33]   An Ontology-Based Framework for Linking Heterogeneous Medical Data [J].
Salem, Rashed ;
Elsharkawy, Basma ;
Kader, Hatem Abdel .
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2016, 2017, 533 :836-845
[34]   Data Fusion in Ontology Based Data Integration [J].
Saranya, K. ;
Hema, M. S. ;
Chandramathi, S. .
2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
[35]   An Extended Hybrid Ontology Approach to Data Integration [J].
Zhang, Laomo ;
Ma, Ying ;
Wang, Guodong .
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, :2262-+
[36]   An Ontology-Based Approach to Enable Data-Driven Research in the Field of NDT in Civil Engineering [J].
Torres, Benjami Moreno ;
Voelker, Christoph ;
Nagel, Sarah Mandy ;
Hanke, Thomas ;
Kruschwitz, Sabine .
REMOTE SENSING, 2021, 13 (12)
[37]   Study on Ontology-based Semantic Extraction Method for Heterogeneous Data [J].
Li, Gaihai ;
Zhang, Yan ;
Yang, Wangli ;
Shi, Guiying .
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 :930-934
[38]   Performance model's development: a novel approach encompassing ontology-based data access and visual analytics [J].
Angelini, Marco ;
Daraio, Cinzia ;
Lenzerini, Maurizio ;
Leotta, Francesco ;
Santucci, Giuseppe .
SCIENTOMETRICS, 2020, 125 (02) :865-892
[39]   FCA based ontology development for data integration [J].
Fu, Gaihua .
INFORMATION PROCESSING & MANAGEMENT, 2016, 52 (05) :765-782
[40]   Heterogeneous data integration system based on ontology [J].
Jiang, Yong Liang ;
Zhang, Ya Min .
COMPUTING, CONTROL, INFORMATION AND EDUCATION ENGINEERING, 2015, :777-780