Ontology-based service discovery framework for dynamic environments

被引:13
作者
Zeshan, Furkh [1 ]
Mohamad, Radziah [2 ]
Ahmad, Mohammad Nazir [2 ]
Hussain, Syed Asad [1 ]
Ahmad, Adnan [1 ]
Raza, Imran [1 ]
Mehmood, Abid [3 ]
Ulhaq, Ikram [4 ]
Abdulgader, Arafat [2 ]
Babar, Imran [2 ]
机构
[1] COMSATS Inst Informat Technol CIIT, Dept Comp Sci, Lahore, Pakistan
[2] Univ Teknol Malaysia, Dept Software Engn, Johor Baharu, Malaysia
[3] King Faisal Univ, Dept Comp Sci, Al Hufuf, Saudi Arabia
[4] Federat Univ, ICSL, Ballarat, Vic, Australia
关键词
CONTEXT-AWARE; SELECTION;
D O I
10.1049/iet-sen.2016.0048
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
With all the recent advancements in the electronic world, hardware is becoming smaller, cheaper and more powerful; while the software industry is moving towards service-oriented integration technologies. Hence, service oriented architecture is becoming a popular platform for the development of applications for distributed embedded real-time system (DERTS). With rapidly increasing diversity of services on the internet, new demands have been raised concerning the efficient discovery of heterogeneous device services in the dynamic environment of DERTS. Context-awareness principles have been widely studied for DERTS; hence, it can be used as an additional set of service selection criteria. However, in order to use context information effectively, it should be presented in an unambiguous way and the dynamic nature of the embedded and real-time systems should be considered. To address these challenges, the authors present a service discovery framework for DERTS which uses context-aware ontology of embedded and real-time systems and a semantic matching algorithm to facilitate the discovery of device services in embedded and real-time system environments. The proposed service discovery framework also considers the associated priorities with the requirements posed by the requester during the service discovery process.
引用
收藏
页码:64 / 74
页数:11
相关论文
共 35 条
[1]   A simulation model for localization of pervasive objects using heterogeneous wireless networks [J].
Aversa, R. ;
Di Martino, B. ;
Ficco, M. ;
Venticinque, S. .
SIMULATION MODELLING PRACTICE AND THEORY, 2011, 19 (08) :1758-1772
[2]   A pragmatic approach for the semantic description and matching of pervasive resources [J].
Bandara, Ayomi ;
Payne, Terry ;
De Roure, David ;
Gibbins, Nicholas ;
Lewis, Tim .
INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS, 2010, 6 (01) :19-+
[3]  
Broens T, 2004, LECT NOTES COMPUT SC, V3295, P72
[4]  
Chakraborty D., WORKSH REL SEC APPL
[5]   An ontology for context-aware pervasive computing environments [J].
Chen, H ;
Finin, T ;
Joshi, A .
KNOWLEDGE ENGINEERING REVIEW, 2003, 18 (03) :197-207
[6]  
CHEN H, 2004, P 1 INT C MOB UB SYS
[7]  
CoDaMoS development team, 2003, COD PROJ
[8]   Building legal ontologies with METHONTOLOGY and WebODE [J].
Corcho, O ;
Femández-López, M ;
Gómez-Pérez, A ;
López-Cima, A .
LAW AND THE SEMANTIC WEB: LEGAL ONTOLOGIES, METHODOLOGIES, LEGAL INFORMATION RETRIEVAL, AND APPLICATIONS, 2005, 3369 :142-157
[9]   Agent-based manufacturing service discovery method for cloud manufacturing [J].
Guo, Liang ;
Wang, Shilong ;
Kang, Ling ;
Cao, Yang .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 81 (9-12) :2167-2181
[10]   Mixed-Integer Programming for QoS-Based Web Service Matchmaking [J].
Kritikos, Kyriakos ;
Plexousakis, Dimitris .
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2009, 2 (02) :122-139