ASSEMBLE:Attribute,Structure andSemantics Based ServiceMapping Approach for CollaborativeBusiness Process Development

Afzal, Ayesha; Shafiq, Basit; Shamail, Shafay; Elahraf, Abeer; Vaidya, Jaideep; Adam, Nabil R.

doi:10.1109/tsc.2018.2805346

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…The primary goal is to reduce the error-prone, costly manual adjustments that users would otherwise need to make, thus making the process more user-friendly. Afzal et al (2021) introduced an innovative strategy for collaborative business process development. This method considers attribute similarity, structural similarity, and semantic information to identify connections between the service operations offered and the business process operations needed.…”

Section: Related Workmentioning

confidence: 99%

Semantic-Rich Recommendation System for Medical Emergency Response System

Karthika,

Deborah,

Zheng

et al. 2024

International Journal on Semantic Web and Information Systems

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The emergency response process consists of methodical and coordinated series of actions and protocols executed by individuals and organizations to proficiently address crises. When planning for medical emergencies, it is vital to work with responsive medical organizations to ensure good communication and coordination. Unlike e-government processes, emergency response processes are focused on knowledge and may frequently change as the emergency situation develops. It is important to change the emergency response plan for dynamic situations and the proposed method helps to create a flexible plan for emergency responses. The proposed approach uses a system for organizing knowledge to figure out the needs and the resources essential for an emergency. It helps to identify the organizations to be involved based on their rules for mutual aid and jurisdiction. Experimental analysis shows that the proposed method outperforms Smart-c and DCERP in suggesting a greater number of hospitals during medical emergency and achieves 0.8, 0.9 and 0.9 precision, recall, and f-measure approximately.

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Section: Related Workmentioning

confidence: 99%

Semantic-Rich Recommendation System for Medical Emergency Response System

Karthika,

Deborah,

Zheng

et al. 2024

International Journal on Semantic Web and Information Systems

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“…Where, x v is set to 1 if condition v ∈ V is selected for deployment as a separate smart contract and 0 otherwise. The path constraints (2) ensures that all atomic conditions of the global mediated access control policy G of BP are covered. The solution to this optimization problem gives us the optimal composite access control policy.…”

Section: Subject Tomentioning

confidence: 99%

“…The emerging cloud and edge computing infrastructure has enabled development of next generation internet-centered distributed applications that are autonomous, co-operative, adaptive, evolvable, emergent, and trustworthy. Such Internetcentered distributed applications include business processes (BPs), distributed workflows, and web service mashups [1], [2], [3]. Since these applications are architected and developed using resources and services that may belong to different organizational domains, access to the underlying resources and services is governed by the security and access control policies of the respective resource owner domains [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Blockchain Based Auditable Access Control for Distributed Business Processes

Akhtar

Shafiq

Vaidya

et al. 2020

2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)

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The use of blockchain technology has been proposed to provide auditable access control for individual resources. However, when all resources are owned by a single organization, such expensive solutions may not be needed. In this work we focus on distributed applications such as business processes and distributed workflows. These applications are often composed of multiple resources/services that are subject to the security and access control policies of different organizational domains. Here, blockchains can provide an attractive decentralized solution to provide auditability. However, the underlying access control policies may be overlapping in terms of the component conditions/rules, and simply using existing solutions would result in repeated evaluation of user's authorization separately for each resource, leading to significant overhead in terms of cost and computation time over the blockchain. To address this challenge, we propose an approach that formulates a constraint optimization problem to generate an optimal composite access control policy. This policy is in compliance with all the local access control policies and minimizes the policy evaluation cost over the blockchain. The developed smart contract(s) can then be deployed to the blockchain, and used for access control enforcement. We also discuss how the access control enforcement can be audited using a game-theoretic approach to minimize cost. We have implemented the initial prototype of our approach using Ethereum as the underlying blockchain and experimentally validated the effectiveness and efficiency of our approach.

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“…However, with the popularity of cloud computing technology and service crowdsourcing [1] , the service computing mode is undergoing profound changes. Services that meet user needs are no longer just from existing local or internet services, but are more likely from remote clouds in a service composition manner [2] . Dynamic service construction in cloud computing environments is gradually replacing the traditional software system, becoming the most cost-effective way for users to meet their own IT requirements [3] .…”

Section: Introductionmentioning

confidence: 99%

Hybrid semantic service matchmaking method based on a random forest

Jiang

Lin

Wang

et al. 2020

Tinshhua Sci. Technol.

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Semantic Service Matchmaking (SSM) can be leveraged for mining the most suitable service to accommodate a diversity of user demands. However, existing research on SSM mostly involves logical or non-logical matching, leading to unavoidable false-positive and false-negative problems. Combining different types of SSM methods is an effective way to improve this situation, but the adaptive combination of different service matching methods is still a difficult issue. To conquer this difficulty, a hybrid SSM method, which is based on a random forest and combines the advantages of existing SSM methods, is proposed in this paper. The result of each SSM method is treated as a multi-dimensional feature vector input for the random forest, converting the service matching into a two classification problem. Therefore, our method avoids the flaws found in manual threshold setting. Experimental results show that the proposed method achieves an outstanding performance.

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ASSEMBLE:Attribute,Structure andSemantics Based ServiceMapping Approach for CollaborativeBusiness Process Development

Cited by 8 publications

References 21 publications

Semantic-Rich Recommendation System for Medical Emergency Response System

Semantic-Rich Recommendation System for Medical Emergency Response System

Blockchain Based Auditable Access Control for Distributed Business Processes

Hybrid semantic service matchmaking method based on a random forest

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