Community-based collaborative information system for emergency management

Li, Juan; Li, Qingrui; Liu, Chao; Khan, Samee U.; Ghani, Nasir

doi:10.1016/j.cor.2012.03.018

Cited by 60 publications

(35 citation statements)

References 28 publications

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“…Consequently, a standardized representation is required to unify the distributed data related to health insurance plans so that the information about all the providers and plans could be stored in a standard schema. Ontologies and the semantic web technologies offer the means to present a standardized representation of distributed data from heterogeneous sources [28]. The semantic web is a particularly designed framework that promotes the development of mechanisms to share and utilize information from multiple resources in a distributed architecture [29].…”

Section: Ontology For Health Insurance Plansmentioning

confidence: 99%

A cloud based health insurance plan recommendation system: A user centered approach

Abbas

Bilal

Zhang

et al. 2015

Future Generation Computer Systems

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Section: Ontology For Health Insurance Plansmentioning

confidence: 99%

A cloud based health insurance plan recommendation system: A user centered approach

Abbas

Bilal

Zhang

et al. 2015

Future Generation Computer Systems

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“…For example, Kou, Ergu, and Shi (2014) provided an efficient hybrid model that integrates fuzzy logic, survey questionnaires, Delphi and multiple criteria decision making (MCDM) methods for disaster assessment. Li, Li, Liu, Khan, and Ghani (2014a) provided a community-based virtual database for emergency management. Also Li, Tang, Sun, and Wu (2014b) developed a mult-objective optimisation model for oil-importing decisions in extreme events.…”

Section: Introductionmentioning

confidence: 99%

A hybrid model for learning from failures: The Hurricane Katrina disaster

Labib

2015

Expert Systems with Applications

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a b s t r a c tThere is a need to facilitate learning from failures in the context of natural and man-made disasters. This paper investigates the multi-faceted nature of research in disasters and the aspect of hybrid approaches in modelling within this domain. The paper applies a framework of reliability and multiple criteria decision analysis techniques to the case of the Hurricane Katrina disaster of 2005. It is shown how this hybrid model can be used through an integrative approach to perform a systematic analysis that can lead to learning from failures.The proposed framework incorporates and integrates Fault Tree Analysis (FTA), Reliability Block Diagram (RBD) analysis and the Risk Priority Number (RPN) concept, together with the Analytic Hierarchy Process (AHP) which is used as a simulation model for decision support. It is shown how the proposed integrated framework can contribute to our understanding of failures and enhances the ability to extract lessons from failures or disasters. Such lessons are then mapped into specific decisions for prevention, and resource allocations, to help avoid a repeat disaster.

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“…Various DHT-based P2P overlay algorithms have been proposed, such as Chord [3], Pastry [4] and Tapestry [5]. Chord uses consistent hashing to assign keys to Chord nodes.…”

Section: Introductionmentioning

confidence: 99%

Towards Load Balance and Maintenance in a Structured P2P Network for Locality Sensitive Hashing

Liu

2016

Electronics, Communications and Networks V

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In this paper, we consider load balancing and maintenance of distributed similarity search systems using locality sensitive hashing (LSH) in a structured peer-to-peer (P2P) network based on Distributed Hashing Table (DHT). LSH has been proven efficient in K-Nearest Neighbor (KNN) search in high dimensions. Recently, a number of schemes have been proposed to implement LSH over DHT-based P2P systems to process distributed similarity searches. We provide an efficient structure using virtual nodes to manage the multi-dimensional LSH bucket space in DHT peers and the maintenance algorithm, which improves load balancing in comparison with state-of-the-art techniques such as the virtual node algorithm. Here, we demonstrate effectiveness of the proposed method by experiments.

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Community-based collaborative information system for emergency management

Cited by 60 publications

References 28 publications

A cloud based health insurance plan recommendation system: A user centered approach

A cloud based health insurance plan recommendation system: A user centered approach

A hybrid model for learning from failures: The Hurricane Katrina disaster

Towards Load Balance and Maintenance in a Structured P2P Network for Locality Sensitive Hashing

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