Towards Hybrid Reasoning for Verifying and Validating Multilevel Models

被引:0
|
作者
Jekjantuk, Nophadol [1 ]
Groener, Gerd [2 ]
Pan, Jeff Z. [1 ]
Thomas, Edward [1 ]
机构
[1] Univ Aberdeen, Aberdeen AB9 1FX, Scotland
[2] Univ Koblenz Landau, Landau, Germany
来源
KNOWLEDGE ENGINEERING AND MANAGEMENT BY THE MASSES, EKAW 2010 | 2010年 / 6317卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ontologies and its reasoning services are expected to play an important role in many application domains, as well as in software engineering in general. In model-driven engineering (MDE), models, like UML models, represent and specify software systems. One problem with using ontologies within software engineering is that while model-driven engineering realizes a four-layer metamodeling architecture, the new version of OWL Web Ontology Language, called OWL 2, it supports only simple metamodeling. Moreover, the semantics of metamodeling in OWL 2 corresponds to the contextual semantics, which leads to non-intuitive results. Another issue is that the Open World Assumption (OWA) assumes a model is incomplete. Therefore, we could not validate some constrains in OWA. In this paper, we demonstrate multilevel (meta-) modelling using ontologies described in OWL FA, which has a well-defined fixed-layered architecture and semantics. As well as an approach to integrate Closed World Assumption(CWA) with OWA in order to use both assumptions for verifying and validating multilevel models.
引用
收藏
页码:411 / 420
页数:10
相关论文
共 50 条
  • [31] Verifying Security-Control Requirements and Validating their Effectiveness
    Hunter, Bruce
    Insight, 2013, 16 (02) : 45 - 48
  • [32] Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above
    Jarmusch, Aaron
    Liu, Aaron
    Munley, Christian
    Horta, Daniel
    Ravichandran, Vaidhyanathan
    Denny, Joel
    Friedline, Kyle
    Chandrasekaran, Sunita
    2022 WORKSHOP ON ACCELERATOR PROGRAMMING USING DIRECTIVES (WACCPD), 2022, : 1 - 10
  • [33] A Catalogue of Scenario Patterns for Validating and Verifying Model Behavior
    Desai, Nisha
    Gogolla, Martin
    2019 ACM/IEEE 22ND INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2019), 2019, : 519 - 523
  • [34] Verifying and validating a land use transport environment model
    Gu, K
    Young, W
    TRANSPORTATION PLANNING AND TECHNOLOGY, 1998, 21 (03) : 181 - 202
  • [35] Verifying and validating specification of knowledge-based systems
    Torres, L
    Frydman, C
    ECAI 1998: 13TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1998, : 83 - 87
  • [36] A case study of verifying and validating an astrophysical simulation code
    Calder, A. C.
    Taylor, N. T.
    Antypas, K.
    Sheeler, D.
    Dubey, A.
    NUMERICAL MODELING OF SPACE PLASMA FLOWS: ASTRONUM-2006, 2006, 359 : 119 - +
  • [37] Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning
    Yao-Ting Sung
    Ju-Ling Chen
    Ji-Her Cha
    Hou-Chiang Tseng
    Tao-Hsing Chang
    Kuo-En Chang
    Behavior Research Methods, 2015, 47 : 340 - 354
  • [38] Constructing and validating readability models: the method of integrating multilevel linguistic features with machine learning
    Sung, Yao-Ting
    Chen, Ju-Ling
    Cha, Ji-Her
    Tseng, Hou-Chiang
    Chang, Tao-Hsing
    Chang, Kuo-En
    BEHAVIOR RESEARCH METHODS, 2015, 47 (02) : 340 - 354
  • [39] Improving and Validating Survey Estimates of Religious Demography Using Bayesian Multilevel Models and Poststratification
    Claassen, Christopher
    Traunmueller, Richard
    SOCIOLOGICAL METHODS & RESEARCH, 2020, 49 (03) : 603 - 636
  • [40] Conformance Testing of Hybrid Systems with Qualitative Reasoning Models
    Aichernig, Bernhard K.
    Brandl, Harald
    Wotawa, Franz
    ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2009, 253 (02) : 53 - 69