Improving Multilingual Semantic Interoperation in Cross-Organizational Enterprise Systems Through Concept Disambiguation

Guo, Jingzhi; Xu, Li Da; Xiao, Guangyi; Gong, Zhiguo

doi:10.1109/tii.2012.2188899

Cited by 88 publications

(30 citation statements)

References 36 publications

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“…The multipath routing scheme must be able to contribute high aggregation bandwidth and fault tolerance and balance the load on multipaths. Hence a robust multipath is essential to offer reliable and robust transmission over multipaths [10], [11].…”

Section: Related Workmentioning

confidence: 99%

Secure Authentication Technique for Wireless Sensor Networks with Load-Balancing Routing Protocol

L¹

2015

IJIRCCE

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Wireless sensor networks are widely used in many applications and the complexity of the design and development of such applications is a challenging task. Hence service-oriented architectures are used to overcome these challenges which act as a middleware in WSN. Service-oriented architecture in WSNs is proposed so that new applications are developed fast by combining the services. Multipath routing schemes in WSNs are used to provide efficient traffic distribution but the failure of links might affect the reliability, scalability, security and performance of the network. In order to overcome these, it is desirable to design a fault-tolerant and efficient routing scheme. In this paper, a secure authentication and an efficient load balancing algorithm is proposed which improves the throughput of the network and improves the lifespan of the network. Simulations demonstrate the secure load balancing routing scheme.

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Section: Related Workmentioning

confidence: 99%

Secure Authentication Technique for Wireless Sensor Networks with Load-Balancing Routing Protocol

L¹

2015

IJIRCCE

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“…DMs often have vague preferences on their choices; in particular, it is hard for them to reflect their choices in discrete numbers. Therefore, a linguistic method is proposed in this section (Xu 1990;Guo et al 2012;Ren and Quan 2012).…”

Section: Linguistic Term Sets For Vague Preferencesmentioning

confidence: 99%

A new methodology to support group decision-making for IoT-based emergency response systems

Sun

et al. 2013

Inf Syst Front

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An emergency response system (ERS) can assist a municipality or government in improving its capabilities to respond urgent and severe events. The responsiveness and effectiveness of an ERS relies greatly on its data acquisition and processing system, which has been evolved with information technology (IT). With the rapid development of sensor networks and cloud computing, the emerging Internet of things (IoT) tends to play an increasing role in ERSs; the networks of sensors, public services, and experts are able to interact with each other and make scientific decisions to the emergencies based on real-time data. When group decision making is required in an ERS, one critical challenge is to obtain the good understanding of massive and diversified data and make consensus group decisions under a high-level stress and strict time constraint. Due to the nature of unorganized data and system complexity, an ERS depends on the perceptions and judgments of experts from different domains; it is challenging to assess the consensus of understanding on the collected data and response plans before appropriate decisions can be reached for emergencies. In this paper, the group decision-making to emergency situations is formulated as a multiple attribute group decision making (MAGDM) problem, the consensus among experts is modeled, and a new methodology is proposed to reach the understanding of emergency response plans with the maximized consensus in course of decision-making. In the implementation, the proposed methodology in integrated with computer programs and encapsulated as a service on the server. The objectives of the new methodology are (i) to enhance the comprehensive group cognizance on emergent scenarios and response plans and (ii) to accelerate the consensus for decision making with an intelligent clustering algorithm, (iii) to adjust the experts' opinions without affecting the reliability of the decision when the consensus cannot be reached from the preliminary decision-making steps. Partitioning Around Medoids (PAM) has been applied as the clustering algorithm, Particle Swarm Optimization (PSO) is deployed to adjust evaluation values automatically. The methodology is applied in a case study to illustrate its effectiveness in converging group opinions and promoting the consensus of understanding on emergencies.

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“…Integrated information systems (IISs) approach and types of information integration tools have been widely used in practices involving ecosystem assessment and resources management in environmental research, Enterprise Information Systems (EIS) are key platforms and main patterns for the next generation information systems for resources and environment management (Xu 2011a;Guo et al 2012;Duan and Xu 2012), core technologies of IIS or EIS and their future trends have been discussed in many works (Panetto and Cecil 2013). There are numerous literatures on the applications of IISs in different areas within the framework of Industrial Information Integration Engineering (IIIE), which is a set of foundational concepts and techniques that facilitate the industrial information integration process and comprise methods for solving complex problems when developing integrated information systems (Xu 2011a;Ulmer et al 2013).…”

Section: Introductionmentioning

confidence: 99%

An integrated information system for snowmelt flood early-warning based on internet of things

et al. 2013

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Floods and water resource management are major challenges for human in present and the near future, and snowmelt floods which usually break out in arid or semiarid regions often cause tremendous social and economic losses, and integrated information system (IIS) is valuable to scientific and public decision-making. This paper presents an integrated approach to snowmelt floods earlywarning based on geoinformatics (i.e. remote sensing (RS), geographical information systems (GIS) and global positioning systems (GPS)), Internet of Things (IoT) and cloud services. It consists of main components such as infrastructure and devices in IoT, cloud information warehouse, management tools, applications and services, the results from a case study shows that the effectiveness of flood prediction and decisionmaking can be improved by using the IIS. The prototype system implemented in this paper is valuable to the acquisition, management and sharing of multi-source information in snowmelt flood early-warning even in other tasks of water resource management. The contribution of this work includes developing a prototype IIS for snowmelt flood early-warning in water resource management with the combination of IoT, Geoinformatics and Cloud Service, with the IIS, everyone could be a sensor of IoT and a contributor of the information warehouse, professional users and public are both servers and clients for information management and services. Furthermore, the IIS provides a preliminary framework of e-Science in resources management and environment science. This study highlights the crucial significance of a systematic approach toward IISs for effective resource and environment management.

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Improving Multilingual Semantic Interoperation in Cross-Organizational Enterprise Systems Through Concept Disambiguation

Cited by 88 publications

References 36 publications

Secure Authentication Technique for Wireless Sensor Networks with Load-Balancing Routing Protocol

Secure Authentication Technique for Wireless Sensor Networks with Load-Balancing Routing Protocol

A new methodology to support group decision-making for IoT-based emergency response systems

An integrated information system for snowmelt flood early-warning based on internet of things

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