Data Quality and Trust in Big Data， 5th Internatio

文件名称: Data Quality and Trust in Big Data

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详细说明：Data Quality and Trust in Big Data， 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Dubai, UAE, November 12–15, 2018, Revised Selected PapersMoreinformationaboutthisseriesathttp://www.springer.com/series/7409 Hakim Acid. Quan Z. Sheng Tetsuya yoshida. azadeh sarkheyli Rui zhou (eds) Data Quality and Trust in Big Data 5th International Workshop, QUAT 2018 Held in Conjunction with Wise 2018 Dubai Uae november 12-15. 2018 Revised selected Papers pringer editors Hakim acid (D Quan Z. Sheng(D Zayed University Macquarie University Dubai. United Arab emirates Sydney, NsW, australia Tetsuya Yoshida Azadeh sarkheyli Nara Womens University Dalarna University Nara, japan Borlange, Sweden Rui zhou D Department of Computer Science and Software Engineering Swinburne University of Technology Hawthorn. VIC. Australia ISSN03029743 issn 1611-3349(electronic) Lecture Notes in Computer Science ISBN978-3-030-19142-9 ISBN978-3-030-19143-6( eBook) https://doi.org/10.10071978-3-030-19143-6 LNCS Sublibrary: SL3- Information Systems and Applications, incl. Internet/Web, and HCI O Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editor give a warranty, expressed or implied, with respect to the material contained herein or for any errors omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse ll, 6330 Cham, Switzerland Preface The series of WIse conferences aims to provide an international forum for researchers professionals, and industrial practitioners to share their knowledge in the rapidl growing area of web technologies. methodologies and applications The first Wise event took place in Hong Kong, China(2000). Then the trip continued to Kyoto, Japan (2001); Singapore(2002); Rome, Italy(2003); Brisbane, Australia(2004 ); New York, USA(2005);Wuhan, China(2006); Nancy, France(2007); Auckland, New Zealand (2008); Poznan, Poland(2009); Hong Kong, SAR China(2010); Sydney, Australia (2011); Paphos, Cyprus(2012); Nanjing, China(2013); Thessaloniki, Greece(2014) Miami, USA(2015); Shanghai, China(2016); Puschino, Russia(2017); and WIse 2018 was held in Dubai, UAE, supported by Zayed Universit The 5th WIse workshop on Data Quality and Trust in Big Data, QUAT 2018, was held in conjunction with WISE 2018, Dubai, UAE, during November 12-15, 2018 QUAT is a forum for presenting and discussing novel ideas and solutions related to the problems of exploring, assessing, monitoring, improving, and maintaining the quality of data and trust for "big data. It aims to provide the researchers in the areas of Web technology, e-services, social networking, big data, data processing, trust, and infor- mation systems and gis a forum to discuss and exchange their recent research findings and achievements. This year, the QUAT 2018 program featured nine accepted papers on data cleansing, data quality analytics, reliability assessment, and quality of service for domain applications. QUAT 2018 was organized by Prof. Yuhao Wang, Prof Martin Johanson, and Prof. William song The problem of data quality in data processing, data management, data analysis, and information systems largely and indistinctly affects every application domain, espe cially in the era of big data. Big data has the characteristics of huge volumes of data and a great variety of structures or no structure. Big data is increased at a great velocity everyday and may be less trustable. The use of big data underpins critical activities in all sectors of our society. Many data-processing tasks(such as data collection, data integration, data sharing, information extraction, and knowledge acquisition) require various forms of data preparation and consolidation with complex data processing and analysis techniques. Achieving the full transformative potential of "big data"requires both new data analysis algorithms and a new class of systems to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive scale analytics. The consensus is that the quality of data and the veracity of data have to span over the entire process of data ollection, preparation, analysis, modeling, implementation, use, testing, and mainte nance, including novel algorithms and usable sys For the quat 2018 Workshop, we wish to thank the general co-chairs, Prof. Yuhao Wang, Prof. Martin Johanson, and Prof William Song; the Program Committee chairs, Prof. Wei huang, Prof. Siril Yella, and Dr. Roger G. Nyberg; and the organizin Committee members, Dr Xiaoyun Zhao, Prof Hong rao, and Dr. Azadeh Sarkheyli Preface We also wish to take this opportunity to thank the Wise Organizing Committee: the general co-chairs, Prof. Zakaria Maamar and Prof. Marek rusinkiewicz; the program co-chairs, Prof. Hakim Hacid, Prof. Wojciech Cellary, and Prof. Hua Wang; the workshop co-chairs, Prof Michael Sheng and Prof. Tetsuya Yoshida; the tutorial and panel chair, Dr. Hye-Young Helen Paik; the sponsor chair, Dr. Fatma Taher; the finance chair, Prof. Hakim Acid; the local arrangements co-chairs, Dr. Andrew Leonce, Prof. Huwida Saeed, and Prof. Emad Bataineh; the publication chair Dr. Rui Zhou; the publicity co-chairs, Dr. Dickson Chiu, Dr Reda bouadjenek, and Dr. Vanilson Buregio; the website co-chairs, Mr. Emir Ugljanin and Mr. Emerson Bautista; and the WIsE Steering Committee representative, Prof. Yanchun Zhang In addition, special thanks are due to the members of the international program Committee and the external reviewers for a rigorous and robust reviewing process. We are also grateful to Zayed University, UAE; Complex Systems Microdata Analysis Dalarna University, Sweden; School of Information Engineering, Nanchuang Univer- sity, China; Springer Nature Switzerland AG; and the international WIse society for supporting this workshop. The Wise Organizing Committee is also grateful to the workshop organizers for their great efforts to help promote Web information system research to broader domains We expect that the ideas that have emerged at in Quat 20 18 will result in the development of further innovations for the benefit of scientific, industrial, and social communities March 2019 Hakim acid Quan Z Sheng Tetsuya Yoshida Azadeh Sarkheyli Rui zhe QUAT Organization QUAT General Co-chairs Yuhao wang Nanchang University, China Martin johanson Dalarna University, Sweden William Song Dalarna University, Sweden QUAT Program Committee Co-chairs Wei huang Nanchang University, China Siril yella Dalarna university, Sweden Roger g. Nyberg Dalarna University, Sweden QUAT Organizing Committee Co-chairs Xiaoyun Zhao Dalarna university, Sweden Hong re Nanchang University, China Azadeh Sarkheyli Dalarna University, Sweden QUAT Program Committee Anders G. nilsson Stockholm University, Sweden David budgen Durham University, UK Christer Carlsson Abo Akademi University. Finland Deren Chen Zhejiang University, China Hercules dalianis Stockholm University, Sweden ⅹ Xiaofeng Du British Telecom. UK Hasan Fleyeh Dalarna University, Sweden Johan hakansson Dalarna university, Sweden Paul johannesson Stockholm University, Sweden Michael la ang National University of Ireland Galway ireland Yang li British telecom. UK Henry linger Monash University australia Christer magnusson Stockholm University, Sweden Malcolm munro Durham University, UK Jaroslav Pokorny Charles university in Prague, Czech Republic William Song Dalarna. sweden Bo Sundgren Stockholm University, Sweden Hua Wang Victoria University, Australia Xiaolin Zheng Zhejing University, China Sheng Zhang Nanchang Hangkong University, China Benting Wan Jiangxi University of Finance and Economics, China QUAT Organization Sheng Zhang Jiangxi Hangkong University, China Shaozhong zhang Zhejiang Wanli University, China Qingshan Deng Jiangxi University of Finance and Economics, China Zichen xu Nanchang University, China QUAT Sponsors Complex systems Microdata Analysis, Dalarna University, Sweden School of Information Engineering, Nanchuang University, China Contents A Novel Data Quality Metric for Minimality Lisa ehrlinger and Wolfram WoB Automated Schema Quality Measurement in Large-Scale Information Systems 16 Lisa Ehrlinger and Wolfram WoB Email Importance Evaluation in Mailing List Discussions Kun Jiang, Chunming Hu, Jie sun, Qi shen, and Xiaohan Jiang SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online social networks 46 Seyed Mohssen ghafari, Shahpar Yakhchi, Amin Beheshti and Mehmet Orgun CNR: Cross-network Recommendation Embedding User's Personality... 62 Shahpar Yakhchi, Seyed Mohssen ghafari, and Amin Beheshti Firefly Algorithm with Proportional Adjustment Strategy 78 Jing wang, Guiyuan Liu, and william Wei song A Formal Taxonomy of Temporal Data Defects 94 Joao marcelo borovina josko Data-Intensive Computing Acceleration with Python in Xilinx FPGa Yalin yang, Linjie Xu, Zichen Xu, and yuhao Wang Delone and McLean IS Success Model for Evaluating Knowledge Sharing .. 125 Azadeh sarkheyli and William Wei song Author index 137

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