A Unified Semantic Knowledge Base for IoT

被引:0
|
作者
Nambi, Akshay Uttama S. N. [1 ]
Sarkar, Chayan [1 ]
Prasad, R. Venkatesha [1 ]
Rahim, Abdur [2 ]
机构
[1] Delft Univ Technol, NL-2600 AA Delft, Netherlands
[2] CREATE NET, Trento, Italy
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the Internet of Things (IoT), interoperability among heterogeneous entities is an important issue. Semantic modeling is a key catalyst to support interoperability. In this work, we present a unified semantic knowledge base for IoT that uses ontologies as the building blocks. Most of the current ontologies for IoT mainly focus on resources, services and location information. We build upon the current state-of-the-art ontologies to provide contextual information and set of policies to execute services. Our knowledge base consists of several ontologies viz, resource, location, context & domain, policy and service ontologies. This helps in building a unified knowledge representation for IoT entities. In our knowledge base, we specifically model dynamic environments in which IoT entities operate. Our knowledge base also facilitates service-composition, discovery and modeling for IoT in dynamic environments.
引用
收藏
页码:575 / 580
页数:6
相关论文
共 50 条
  • [1] Towards Semantic Knowledge Base Definition
    Krotkiewicz, Marek
    Wojtkiewicz, Krystian
    Jodlowiec, Marcin
    [J]. BIOMEDICAL ENGINEERING AND NEUROSCIENCE, 2018, 720 : 218 - 239
  • [2] A unified model maintains knowledge base integrity
    Debenham, J
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2003, 2773 : 21 - 27
  • [3] A unified model of human semantic knowledge and its disorders
    Chen, Lang
    Ralph, Matthew A. Lambon
    Rogers, Timothy T.
    [J]. NATURE HUMAN BEHAVIOUR, 2017, 1 (03):
  • [4] Object Tracking by Unified Semantic Knowledge and Instance Features
    Zhang, Suofei
    Kang, Bin
    Zhou, Lin
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2019, E102D (03) : 680 - 683
  • [5] A unified model of human semantic knowledge and its disorders
    Lang Chen
    Matthew A. Lambon Ralph
    Timothy T. Rogers
    [J]. Nature Human Behaviour, 1
  • [6] Functional Semantic Retrieval for Effects Knowledge Base
    Wu, Hongtao
    Zhang, Jinling
    Ma, Jianhong
    Tan, Runhua
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2011, : 644 - 648
  • [7] Research on Knowledge Base System for Semantic SOA
    Cong, Kai
    Zhang, Lin
    Si, Nan
    Zhang, Hui
    [J]. E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY VII, PTS 1 AND 2, 2009, 16-19 : 688 - 692
  • [8] Introduction to Semantic Knowledge Base: Linguistic Module
    Krotkiewicz, Marek
    Wojtkiewicz, Krystian
    [J]. 2013 6TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI), 2013, : 356 - 362
  • [9] Exploiting Semantic Knowledge Base for Patent Retrieval
    Wang, Feng
    Lin, Lanfen
    [J]. 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2017, : 2195 - 2200
  • [10] AUGMENTED SEMANTIC NETWORKS FOR AN ENTERPRISE KNOWLEDGE BASE
    STURDZA, P
    [J]. INFORMATION TECHNOLOGY-RESEARCH DEVELOPMENT APPLICATIONS, 1984, 3 (01): : 43 - 53