Structural Integrity Checking Based on Logically Independent Fragment of Metadata

被引:0
|
作者
Zhao X. [1 ,2 ]
Shi Z. [3 ]
Liu J. [3 ]
机构
[1] School of Computer Science and Technology, Tiangong University, Tianjin
[2] Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, 215006, Jiangsu
[3] Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing
来源
Jisuanji Yanjiu yu Fazhan/Computer Research and Development | 2020年 / 57卷 / 09期
基金
中国国家自然科学基金;
关键词
Logically independent fragment; Meta object facility (MOF); Metadata; Repository system; Structural integrity;
D O I
10.7544/issn1000-1239.2020.20190493
中图分类号
学科分类号
摘要
Checking the structural integrity efficiently is one of the research hotspots in the field of MOF(meta object facility) repository system consistency. In this paper, we propose an efficient and automatic approach for checking the structural integrity by means of description logics. Firstly, according to the characteristics of MOF architecture, we study how to transform different levels of metadata into SROIQ(D) knowledge base. Then we study how to extract metadata to improve the efficiency of the checking process. We propose the concept of logically independent fragment of metadata. By extracting property deductive fragment and classification deductive fragment respectively, we present the algorithm to generate the minimum logically independent fragment. Since this kind of fragment is the closure of logical implication for a given metadata element, all relevant information about the given metadata element is completely preserved, thus the checking process can be performed on a smaller set of metadata rather than on the entire repository. Finally, we study how to perform checking based on logically independent fragment. The experimental results show that the average size of the metadata fragment generated by our approach is significantly smaller than its original size, and the efficiency improvement of the checking on the metadata fragment ranges from 1.47 times to 3.31 times. The time performance comparison with the related approaches also shows the effectiveness of our approach. © 2020, Science Press. All right reserved.
引用
收藏
页码:1961 / 1970
页数:9
相关论文
共 14 条
  • [1] Meta Object Facility, Version 2.5.1, (2016)
  • [2] Muzaffar I, Georg G, Markus S., An implementation of multi-level modelling in F-logic, Proc of the 2014 Int Workshop on Multi-Level Modelling, pp. 33-42, (2014)
  • [3] Muzaffar I, Georg G, Matt S, Et al., An integrated multi-level modeling approach for industrial-scale data interoperability, Software & Systems Modeling, 17, 1, pp. 269-294, (2018)
  • [4] Bernd N, Christoph G, Manfred A, Et al., Dual deep modeling: Multi-level modeling with dual potencies and its formalization in F-Logic, Software & Systems Modeling, 17, 1, pp. 233-268, (2018)
  • [5] Liliana F, Daniel D., Formal MOF metamodeling and tool support, Proc of the 4th Int Conf on Model-Driven Engineering and Software Development, pp. 99-110, (2016)
  • [6] Esther G, Juan D., Towards automating the analysis of integrity constraints in multi-level models, Proc of the 2014 Int Workshop on Multi-Level Modeling, pp. 63-72, (2014)
  • [7] Esther G, Juan D., Automated analysis of integrity constraints in multi-level models, Data & Knowledge Engineering, 107, 1, pp. 1-23, (2017)
  • [8] Horrocks I, Parsia B, Sattler U., OWL 2 Web Ontology Language Direct Semantics
  • [9] Glimm B, Horrocks I, Motik B, Et al., HermiT: An OWL 2 reasoner, Journal of Automated Reasoning, 53, 3, pp. 245-269, (2017)
  • [10] Dmitry T., Incremental and persistent reasoning in FaCT++, Proc of the 3rd Int Workshop on OWL Reasoner Evaluation, pp. 69-75, (2014)