Automated conflict resolution in collaborative data sharing systems using community feedbacks

Khazalah, Fayez; Malik, Zaki; Rezgui, Abdelmounaam

doi:10.1016/j.ins.2014.11.029

Cited by 7 publications

(4 citation statements)

References 36 publications

(53 reference statements)

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“…(2) College students can easily accept new things [16] (3) College students have certain cultural qualities, which makes it convenient for effective integration of sports and medical resources in colleges and universities to achieve complementary advantages (4) The college students' physical health data sharing system can take advantage of physical education in universities [17]. Especially, improve the quality of education and train healthy students for teachers…”

Section: Feasibility Analysis Of the Construction Of Collegementioning

confidence: 99%

Construction of College Students’ Physical Health Data Sharing System Based on Django Framework

Shen

2021

Journal of Sensors

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In view of the current situation of college students’ physical health affected by the learning environment and living environment, which leads to the low level of students’ physical health and the lack of understanding of students’ physical health, this paper puts forward the construction of college students’ physical health data sharing system based on Django framework. By analyzing the feasibility of constructing the data sharing system of college students’ physical health, this paper constructs the organizational framework of the data sharing system of college students’ physical health and constructs the data sharing system of college students’ physical health according to the implementation process of the data sharing system of college students’ physical health management service. Through the student’s physical health test on education intervention and exercise intervention, it is concluded that college students’ physical health data sharing system based on the Django framework can cultivate students’ interest in sports and improve their athletic ability and physical fitness.

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Section: Feasibility Analysis Of the Construction Of Collegementioning

confidence: 99%

Construction of College Students’ Physical Health Data Sharing System Based on Django Framework

Shen

2021

Journal of Sensors

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“…Someremarkablepublicationsintheareaofconflictidentificationincludes (Khazalah,Malik& Rezgui,2015).Anautomatedconflictresolutiontechniqueforcollaborativedatasharingispresented in (Khazalah, Malik & Rezgui, 2015;Naumann, Bilke, Bleiholder & Weis, 2006;Bleiholder & Naumann,2006;Bilke,Bleiholder,Naumann,Böhm,Draba&Weis,2005;Gatterbauer,Balazinska, Khoussainova&Suciu,2009;Gatterbauer&Suciu,2010).Thisisafeedback-basedtechnique,which usesweightstoidentifytheimportancelevelsassociatedwiththedata.Severaltechniqueshavealso beenproposedtoidentifydataconflictsinmulti-versioneddatabases (Naumann,Bilke,Bleiholder &Weis,2006;Bleiholder&Naumann,2006;Bilke,Bleiholder,Naumann,Böhm,Draba&Weis, 2005).DataannotationhasbeenintroducedasamethodtohandleconflictsinBeliefDB (Gatterbauer, Balazinska,Khoussainova&Suciu,2009).Theseannotationscanbeinagreementordisagreement withtheexistingdata.Userbasedtrustmappingswereintroducedin(Gatterbauer&Suciu,2010), whichhelpedinresolvingconflictswiththehelpoffeedbacks.…”

Section: Severalrecentpublicationshavebeenwitnessedintheareasofpolari...mentioning

confidence: 99%

Improving Root Cause Analysis Using Fuzzy Polarity Identification and Conflict Resolution Techniques

Soosaimanickam

Victor

2018

Journal of Information Technology Research

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Identifying the root cause of feedbacks is one of the major functionalities in a marketing system. Increased use of online social networking media has automatically led to a raise in the users expressing their views in these platforms. Analyzing data from such media provides unbiased information regarding any product or service. This article presents a polarity-based root cause identification technique that identifies the root cause of a query presented by the user. The query is presented to all the available data sources, and the information returned is filtered using conflict resolution techniques. The data is then subjected to a fuzzy polarity analyzer that divides the data into groups based on their polarity levels. The data is then cross-referenced with the domain based ontology to identify the root cause.

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“…as AST) [3,26]. Many issues in this research field have attracted the focus of the researchers and practitioners, such as consistency maintenance [1][2][3][4], Undo/Redo [5][6]27], conflict resolution [7][8][28][29][30], intention preservation [1][2][3][4] etc. There are some prototype systems in both text editor field (such as CoWord [9], CoPowerpoint [10] etc.…”

Section: Introductionmentioning

confidence: 99%

Consistency maintenance of compound operations in real-time collaborative environments

Gao

et al. 2016

Computers & Electrical Engineering

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In real-time collaborative environments, address space transformation strategy can be used to achieve consistency maintenance of shared documents. However, as for the execution of compound operations, they are firstly decomposed into primitive operations, the relationships between the referencing objects and referenced objects are lost during the decomposition process. Besides, the Undo operations in this environment are targeted at compound operations, but not decomposed basic ones. However, the traditional algorithms take primitive operation as the manipulation unit, thus leading to semantic inconsistencies of compound Undo operations. This paper appends two history buffers to maintain the relationships between the original operations and the decomposed ones and introduces "Retrace-Undo-VT-Redo-Retrace" strategy to realize the consistency maintenance of compound operations. Also, this paper introduces the version-decomposition strategy, describes the main algorithms of the compound Undo operations and analyses the validity of the strategy. Case analysis is given to show the effectiveness of the strategy.

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Automated conflict resolution in collaborative data sharing systems using community feedbacks

Cited by 7 publications

References 36 publications

Construction of College Students’ Physical Health Data Sharing System Based on Django Framework

Construction of College Students’ Physical Health Data Sharing System Based on Django Framework

Improving Root Cause Analysis Using Fuzzy Polarity Identification and Conflict Resolution Techniques

Consistency maintenance of compound operations in real-time collaborative environments

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