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Publisher: IGI Global   (Total: 146 journals)

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Showing 1 - 146 of 146 Journals sorted alphabetically
Information Resources Management J.     Full-text available via subscription   (Followers: 8, SJR: 0.108, CiteScore: 0)
Intl. J. of 3-D Information Modeling     Full-text available via subscription   (Followers: 3)
Intl. J. of Actor-Network Theory and Technological Innovation     Full-text available via subscription   (Followers: 5)
Intl. J. of Adaptive, Resilient and Autonomic Systems     Full-text available via subscription   (Followers: 3)
Intl. J. of Adult Vocational Education and Technology     Hybrid Journal   (Followers: 13)
Intl. J. of Advanced Pervasive and Ubiquitous Computing     Full-text available via subscription   (Followers: 4)
Intl. J. of Agent Technologies and Systems     Full-text available via subscription   (Followers: 5)
Intl. J. of Agricultural and Environmental Information Systems     Full-text available via subscription   (Followers: 2, SJR: 0.157, CiteScore: 1)
Intl. J. of Ambient Computing and Intelligence     Full-text available via subscription   (Followers: 2, SJR: 0.161, CiteScore: 2)
Intl. J. of Applied Behavioral Economics     Full-text available via subscription   (Followers: 14)
Intl. J. of Applied Evolutionary Computation     Full-text available via subscription   (Followers: 4)
Intl. J. of Applied Geospatial Research     Hybrid Journal   (Followers: 5, SJR: 0.208, CiteScore: 0)
Intl. J. of Applied Industrial Engineering     Full-text available via subscription   (Followers: 7)
Intl. J. of Applied Logistics     Full-text available via subscription   (Followers: 7)
Intl. J. of Applied Metaheuristic Computing     Full-text available via subscription   (Followers: 5)
Intl. J. of Art, Culture and Design Technologies     Full-text available via subscription   (Followers: 10)
Intl. J. of Artificial Life Research     Full-text available via subscription   (Followers: 2)
Intl. J. of Asian Business and Information Management     Full-text available via subscription   (Followers: 3)
Intl. J. of Aviation Technology, Engineering and Management     Full-text available via subscription   (Followers: 5)
Intl. J. of Biomaterials Research and Engineering     Full-text available via subscription   (Followers: 2)
Intl. J. of Biomedical and Clinical Engineering     Full-text available via subscription   (Followers: 4)
Intl. J. of Business Data Communications and Networking     Full-text available via subscription   (Followers: 2, SJR: 0.115, CiteScore: 0)
Intl. J. of Business Intelligence Research     Full-text available via subscription   (Followers: 3)
Intl. J. of Chemoinformatics and Chemical Engineering     Full-text available via subscription   (Followers: 2)
Intl. J. of Cloud Applications and Computing     Hybrid Journal   (Followers: 13)
Intl. J. of Cognitive Informatics and Natural Intelligence     Full-text available via subscription   (Followers: 3, SJR: 0.212, CiteScore: 2)
Intl. J. of Computational Models and Algorithms in Medicine     Full-text available via subscription  
Intl. J. of Computer Vision and Image Processing     Full-text available via subscription   (Followers: 20)
Intl. J. of Computer-Assisted Language Learning and Teaching     Full-text available via subscription   (Followers: 13)
Intl. J. of Conceptual Structures and Smart Applications     Full-text available via subscription   (Followers: 2)
Intl. J. of Creative Interfaces and Computer Graphics     Full-text available via subscription   (Followers: 3)
Intl. J. of Customer Relationship Marketing and Management     Full-text available via subscription   (Followers: 17)
Intl. J. of Cyber Behavior, Psychology and Learning     Full-text available via subscription   (Followers: 7, SJR: 0.238, CiteScore: 1)
Intl. J. of Cyber Ethics in Education     Full-text available via subscription   (Followers: 3)
Intl. J. of Data Warehousing and Mining     Full-text available via subscription   (Followers: 11, SJR: 0.267, CiteScore: 1)
Intl. J. of Decision Support System Technology     Full-text available via subscription   (Followers: 2, SJR: 0.172, CiteScore: 1)
Intl. J. of Dependable and Trustworthy Information Systems     Full-text available via subscription  
Intl. J. of Digital Crime and Forensics     Full-text available via subscription   (Followers: 11, SJR: 0.17, CiteScore: 1)
Intl. J. of Digital Library Systems     Full-text available via subscription   (Followers: 72)
Intl. J. of Digital Literacy and Digital Competence     Full-text available via subscription   (Followers: 6)
Intl. J. of Distance Education Technologies     Full-text available via subscription   (Followers: 7, SJR: 0.283, CiteScore: 1)
Intl. J. of Distributed Systems and Technologies     Full-text available via subscription   (Followers: 3, SJR: 0.186, CiteScore: 1)
Intl. J. of E-Adoption     Full-text available via subscription  
Intl. J. of E-Business Research     Hybrid Journal   (Followers: 4, SJR: 0.301, CiteScore: 1)
Intl. J. of e-Collaboration     Full-text available via subscription   (Followers: 1, SJR: 0.49, CiteScore: 1)
Intl. J. of E-Entrepreneurship and Innovation     Full-text available via subscription   (Followers: 7)
Intl. J. of E-Health and Medical Communications     Full-text available via subscription   (Followers: 2, SJR: 0.129, CiteScore: 1)
Intl. J. of E-Planning Research     Full-text available via subscription  
Intl. J. of E-Politics     Full-text available via subscription   (Followers: 4)
Intl. J. of E-Services and Mobile Applications     Full-text available via subscription   (Followers: 6)
Intl. J. of Electronic Government Research     Full-text available via subscription   (Followers: 5, SJR: 0.201, CiteScore: 1)
Intl. J. of Embedded and Real-Time Communication Systems     Full-text available via subscription   (Followers: 6, SJR: 0.176, CiteScore: 1)
Intl. J. of Energy Optimization and Engineering     Hybrid Journal   (Followers: 5)
Intl. J. of Enterprise Information Systems     Full-text available via subscription   (Followers: 1, SJR: 0.191, CiteScore: 1)
Intl. J. of Fuzzy System Applications     Full-text available via subscription   (Followers: 4, SJR: 0.265, CiteScore: 1)
Intl. J. of Game-Based Learning     Hybrid Journal   (Followers: 17, SJR: 0.268, CiteScore: 1)
Intl. J. of Gaming and Computer-Mediated Simulations     Full-text available via subscription   (Followers: 7, SJR: 0.273, CiteScore: 1)
Intl. J. of Geotechnical Earthquake Engineering     Full-text available via subscription   (Followers: 9, SJR: 0.116, CiteScore: 0)
Intl. J. of Green Computing     Full-text available via subscription   (Followers: 1)
Intl. J. of Grid and High Performance Computing     Full-text available via subscription   (Followers: 2, SJR: 0.154, CiteScore: 1)
Intl. J. of Handheld Computing Research     Full-text available via subscription  
Intl. J. of Healthcare Delivery Reform Initiatives     Full-text available via subscription   (Followers: 1)
Intl. J. of Healthcare Information Systems and Informatics     Hybrid Journal   (Followers: 7, SJR: 0.157, CiteScore: 0)
Intl. J. of Human Capital and Information Technology Professionals     Full-text available via subscription   (Followers: 3, SJR: 0.28, CiteScore: 1)
Intl. J. of ICT Research and Development in Africa     Full-text available via subscription   (Followers: 4)
Intl. J. of Information and Communication Technology Education     Full-text available via subscription   (Followers: 19, SJR: 0.202, CiteScore: 1)
Intl. J. of Information Communication Technologies and Human Development     Full-text available via subscription   (Followers: 6)
Intl. J. of Information Retrieval Research     Full-text available via subscription   (Followers: 34)
Intl. J. of Information Security and Privacy     Full-text available via subscription   (Followers: 9, SJR: 0.11, CiteScore: 0)
Intl. J. of Information System Modeling and Design     Full-text available via subscription   (Followers: 2, SJR: 0.199, CiteScore: 1)
Intl. J. of Information Systems and Social Change     Full-text available via subscription   (Followers: 3)
Intl. J. of Information Systems and Supply Chain Management     Full-text available via subscription   (Followers: 24, SJR: 0.244, CiteScore: 1)
Intl. J. of Information Systems for Crisis Response and Management     Full-text available via subscription   (Followers: 4)
Intl. J. of Information Systems in the Service Sector     Full-text available via subscription   (Followers: 3, SJR: 0.25, CiteScore: 1)
Intl. J. of Information Technologies and Systems Approach     Full-text available via subscription   (Followers: 2, SJR: 0.204, CiteScore: 1)
Intl. J. of Information Technology and Web Engineering     Hybrid Journal   (Followers: 2, SJR: 0.168, CiteScore: 1)
Intl. J. of Information Technology Project Management     Full-text available via subscription   (Followers: 13)
Intl. J. of Innovation in the Digital Economy     Full-text available via subscription   (Followers: 4)
Intl. J. of Intelligent Information Technologies     Full-text available via subscription   (Followers: 2, SJR: 0.323, CiteScore: 2)
Intl. J. of Intelligent Mechatronics and Robotics     Full-text available via subscription   (Followers: 4)
Intl. J. of Interactive Communication Systems and Technologies     Full-text available via subscription   (Followers: 3)
Intl. J. of Interdisciplinary Telecommunications and Networking     Full-text available via subscription   (Followers: 5)
Intl. J. of IT Standards and Standardization Research     Full-text available via subscription  
Intl. J. of IT/Business Alignment and Governance     Full-text available via subscription  
Intl. J. of Knowledge and Systems Science     Full-text available via subscription   (Followers: 1)
Intl. J. of Knowledge Discovery in Bioinformatics     Full-text available via subscription   (Followers: 3)
Intl. J. of Knowledge Management     Full-text available via subscription   (Followers: 16, SJR: 0.261, CiteScore: 1)
Intl. J. of Knowledge Society Research     Full-text available via subscription   (Followers: 1)
Intl. J. of Knowledge-Based Organizations     Full-text available via subscription   (Followers: 2)
Intl. J. of Manufacturing, Materials, and Mechanical Engineering     Full-text available via subscription   (Followers: 16, SJR: 0.272, CiteScore: 1)
Intl. J. of Measurement Technologies and Instrumentation Engineering     Full-text available via subscription   (Followers: 2)
Intl. J. of Mobile and Blended Learning     Full-text available via subscription   (Followers: 24, SJR: 0.331, CiteScore: 1)
Intl. J. of Mobile Computing and Multimedia Communications     Full-text available via subscription   (Followers: 4, SJR: 0.133, CiteScore: 0)
Intl. J. of Mobile Human Computer Interaction     Hybrid Journal   (Followers: 9, SJR: 0.136, CiteScore: 1)
Intl. J. of Monitoring and Surveillance Technologies Research     Full-text available via subscription   (Followers: 3)
Intl. J. of Multimedia Data Engineering and Management     Full-text available via subscription   (Followers: 5)
Intl. J. of Nanotechnology and Molecular Computation     Full-text available via subscription   (Followers: 3)
Intl. J. of Natural Computing Research     Hybrid Journal  
Intl. J. of Online Marketing     Full-text available via subscription   (Followers: 6)
Intl. J. of Online Pedagogy and Course Design     Full-text available via subscription   (Followers: 7)
Intl. J. of Open Source Software and Processes     Full-text available via subscription   (Followers: 7, SJR: 0.107, CiteScore: 0)
Intl. J. of Operations Research and Information Systems     Full-text available via subscription   (Followers: 7)
Intl. J. of Organizational and Collective Intelligence     Hybrid Journal   (Followers: 2)
Intl. J. of People-Oriented Programming     Full-text available via subscription  
Intl. J. of Privacy and Health Information Management     Full-text available via subscription   (Followers: 3)
Intl. J. of Public and Private Healthcare Management and Economics     Full-text available via subscription   (Followers: 4)
Intl. J. of Quality Assurance in Engineering and Technology Education     Full-text available via subscription   (Followers: 3)
Intl. J. of Reliable and Quality E-Healthcare     Full-text available via subscription   (Followers: 1)
Intl. J. of Robotics Applications and Technologies     Full-text available via subscription   (Followers: 2)
Intl. J. of Secure Software Engineering     Full-text available via subscription   (Followers: 6)
Intl. J. of Service Science, Management, Engineering, and Technology     Full-text available via subscription   (Followers: 2)
Intl. J. of Signs and Semiotic Systems     Full-text available via subscription  
Intl. J. of Social and Organizational Dynamics in IT     Full-text available via subscription   (Followers: 3)
Intl. J. of Social Ecology and Sustainable Development     Full-text available via subscription   (Followers: 7, SJR: 0.131, CiteScore: 0)
Intl. J. of Sociotechnology and Knowledge Development     Full-text available via subscription   (Followers: 1, SJR: 0.175, CiteScore: 1)
Intl. J. of Software Innovation     Full-text available via subscription   (Followers: 2)
Intl. J. of Software Science and Computational Intelligence     Full-text available via subscription   (Followers: 2)
Intl. J. of Space Technology Management and Innovation     Full-text available via subscription   (Followers: 6)
Intl. J. of Strategic Decision Sciences     Full-text available via subscription   (Followers: 2)
Intl. J. of Strategic Information Technology and Applications     Full-text available via subscription   (Followers: 1)
Intl. J. of Surface Engineering and Interdisciplinary Materials Science     Full-text available via subscription   (Followers: 1)
Intl. J. of Sustainable Economies Management     Full-text available via subscription  
Intl. J. of Swarm Intelligence Research     Full-text available via subscription   (Followers: 3)
Intl. J. of Synthetic Emotions     Full-text available via subscription   (Followers: 1)
Intl. J. of System Dynamics Applications     Full-text available via subscription   (Followers: 3)
Intl. J. of Systems and Service-Oriented Engineering     Full-text available via subscription  
Intl. J. of Systems Biology and Biomedical Technologies     Full-text available via subscription   (Followers: 2)
Intl. J. of Technoethics     Full-text available via subscription   (Followers: 2, SJR: 0.132, CiteScore: 0)
Intl. J. of Technology and Educational Marketing     Full-text available via subscription   (Followers: 3)
Intl. J. of Technology and Human Interaction     Full-text available via subscription   (Followers: 2, SJR: 0.211, CiteScore: 1)
Intl. J. of Technology Diffusion     Full-text available via subscription   (Followers: 1)
Intl. J. of Telework and Telecommuting Technologies     Full-text available via subscription  
Intl. J. of User-Driven Healthcare     Full-text available via subscription   (Followers: 1)
Intl. J. of Virtual and Personal Learning Environments     Full-text available via subscription   (Followers: 17, SJR: 0.145, CiteScore: 0)
Intl. J. of Virtual Communities and Social Networking     Full-text available via subscription   (Followers: 1)
Intl. J. of Web Portals     Full-text available via subscription   (Followers: 19, SJR: 0.144, CiteScore: 0)
Intl. J. of Web Services Research     Full-text available via subscription   (SJR: 0.15, CiteScore: 1)
Intl. J. of Web-Based Learning and Teaching Technologies     Hybrid Journal   (Followers: 20, SJR: 0.251, CiteScore: 1)
Intl. J. of Wireless Networks and Broadband Technologies     Full-text available via subscription   (Followers: 3)
Intl. J. on Semantic Web and Information Systems     Hybrid Journal   (Followers: 5, SJR: 0.414, CiteScore: 2)
J. of Cases on Information Technology     Full-text available via subscription   (Followers: 5, SJR: 0.132, CiteScore: 1)
J. of Database Management     Full-text available via subscription   (Followers: 9, SJR: 0.15, CiteScore: 0)
J. of Electronic Commerce in Organizations     Full-text available via subscription   (Followers: 1, SJR: 0.117, CiteScore: 0)
J. of Global Information Management     Full-text available via subscription   (Followers: 10, SJR: 0.232, CiteScore: 1)
J. of Information Technology Research     Full-text available via subscription   (Followers: 3, SJR: 0.163, CiteScore: 1)
J. of Organizational and End User Computing     Full-text available via subscription   (Followers: 1, SJR: 0.342, CiteScore: 1)

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Journal Cover
Journal of Database Management
Journal Prestige (SJR): 0.15
Number of Followers: 9  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 1063-8016 - ISSN (Online) 533-8010
Published by IGI Global Homepage  [146 journals]
  • Research on Improved Method of Storage and Query of Large-Scale Remote
           Sensing Images
    • Authors: IGI Global
      Abstract:
      Authors : Jing Weipeng (Northeast Forestry University, Harbin, China), Tian Dongxue (Northeast Forestry University, Harbin, China), Chen Guangsheng (Northeast Forestry University, Harbin, China), Li Yiyuan (China Aerospace Construction Group Co., LTD, Beijing, China)
      Volume/Issue: 29/3

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018070101
      Date Posted: 7/1/2018 12:00:00 AM The traditional method is used to deal with massive remote sensing data stored in low efficiency and poor scalability. This article presents a parallel processing method based on MapReduce and HBase. The filling of remote sensing images by the Hilbert curve makes the MapReduce method construct pyramids in parallel to reduce network communication between nodes. Then, the authors design a massive remote sensing data storage model composed of metadata storage model, index structure and filter column family. Finally, this article uses MapReduce frameworks to realize pyramid construction, storage and query of remote sensing data. The experimental results show that this method can effectively improve the speed of data writing and querying, and has good scalability.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Jul 2018 00:00:00 GMT
       
  • Towards Real-Time Multi-Sensor Golf Swing Classification Using Deep CNNs
    • Authors: IGI Global
      Abstract:
      Authors : Libin Jiao (College of Information Science and Technology, Beijing Normal University, Beijing, China & Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia), Hao Wu (College of Information Science and Technology, Beijing Normal University, Beijing, China), Rongfang Bie (College of Information Science and Technology, Beijing Normal University, Beijing, China), Anton Umek (Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia), Anton Kos (Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia)
      Volume/Issue: 29/3

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018070102
      Date Posted: 7/1/2018 12:00:00 AM In recent years, smart sports equipment and body sensor systems have become popular in professional and amateur sports. One of a few remaining problems in real-time applications is the discovery of knowledge from the embedded sensors data. In sports training, such knowledge helps accelerated motor learning. The authors start with exploring the possibilities of the classification of golf swing performance with the 1-D convolutional neural network (CNN) in real-time. They thoroughly investigate multiple golf swing data classifiers based on CNNs fed with multi-sensor signals. The authors test the possibilities of real-time performance of CNN methods on the multi-length sequences. In addition, they thoroughly evaluate the performance of their well-trained CNN-based classifier on the aforementioned test set in terms of common indicators. Experiments and corresponding results show that the authors' models can satisfy the real-time requirement of the accuracy of the classification and outperform support vector machine (SVM).This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Jul 2018 00:00:00 GMT
       
  • Consumers' Stickiness to Mobile Payment Applications: An Empirical Study
           of WeChat Wallet
    • Authors: IGI Global
      Abstract:
      Authors : Elizabeth D. Matemba (Harbin Institute of Technology, Harbin, China), Guoxin Li (Harbin Institute of Technology, Harbin, China), Baraka J. Maiseli (University of Dar es Salaam, Dar es Salaam, United Republic of Tanzania)
      Volume/Issue: 29/3

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018070103
      Date Posted: 7/1/2018 12:00:00 AM WeChat wallet incorporates compelling features facilitating users to conduct financial transactions more conveniently. The authors' survey discovered that most users appreciate WeChat wallet services. Previous studies, however, inadequately address critical factors that motivate consumers' stickiness to this promising technology. Scholars concentrate only on the technological features and considers societal traditional practices. This work establishes a psychometric theoretical model that integrates novel constructs, which balances technological features and traditional values, predicting WeChat wallet customers' stickiness. To this end, a questionnaire, with Likert scale items, was administered to 450 Chinese and foreigners in China. The authors measured their model's reliability and validity using composite reliability, convergent validity, and discriminant validity. The study applied the common latent factor approach to test the common method bias. Structural equation modeling and SPSS were used for data analysis. The study reveals that perceived availability of merchant support, convenience, social influence, and red envelope (traditional Chinese culture for sharing monetary values during festivals and special events) preference promote consumers' stickiness behaviors to WeChat wallet. In addition, perceived security insignificantly moderates the relationships between convenience/social influence and consumers' stickiness. This study gives scholars an important research avenue to explore further the relationships between traditions and diffusion of technology.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Jul 2018 00:00:00 GMT
       
  • Research on Methodology of Correlation Analysis of Sci-Tech Literature
           Based on Deep Learning Technology in the Big Data
    • Authors: IGI Global
      Abstract:
      Authors : Wen Zeng (Institute of Scientific and Technical Information of China, China), Hongjiao Xu (Institute of Scientific and Technical Information of China, China), Hui Li (Beijing Institute of Science and Technology Information, China), Xiang Li (Torch High Technology Industry Development Center, China)
      Volume/Issue: 29/3

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018070104
      Date Posted: 7/1/2018 12:00:00 AM In the big data era, it is a great challenge to identify high-level abstract features out of a flood of sci-tech literature to achieve in-depth analysis of data. The deep learning technology has developed rapidly and achieved applications in many fields, but has rarely been utilized in the research of sci-tech literature data. This article introduced the presentation method of vector space of terminologies in sci-tech literature based on the deep learning model. It explored and adopted a deep AE model to reduce the dimensionality of input word vector feature. Also put forward is the methodology of correlation analysis of sci-tech literature based on deep learning technology. The experimental results showed that the processing of sci-tech literature data could be simplified into the computation of vectors in the multi-dimensional vector space, and the similarity in vector space could be used to represent similarity in text semantics. The correlation analysis of subject contents between sci-tech literatures of the same or different types can be made using this method.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Jul 2018 00:00:00 GMT
       
  • Detecting Users' Dietary Preferences and Their Evolutions via Chinese
           Social Media
    • Authors: IGI Global
      Abstract:
      Authors : Qingqing Zhou (Department of Information Management, Nanjing University of Science and Technology, Nanjing, China), Chengzhi Zhang (Department of Information Management, Nanjing University of Science and Technology, Nanjing, China)
      Volume/Issue: 29/3

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018070105
      Date Posted: 7/1/2018 12:00:00 AM Dietary preferences are linked to human life and region culture. With the rapid development of the Internet, people are becoming frequently interested in sharing their opinions about dietary in social media. This article aims to mine social media users' dietary preferences and their evolutions with user generated content. The authors use microblogs from weibo.com to detect dietary preferences and their evolutions of social media users in China via sentiment analysis. First, the authors compare four aspect extraction methods to obtain dietary aspects. Second, sentiment polarities of aspects and dishes are identified. Finally, dietary preference evolutions are analyzed. Empirical analysis shows that social media users in weibo are not satisfied with status quo of a Chinese diet. Meanwhile, gender and region have significant effects on dietary preferences, and users' dietary preferences change over time. In addition, experimental results show that contextual information is useful in extracting dietary aspects.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Jul 2018 00:00:00 GMT
       
  • Implicit Semantics Based Metadata Extraction and Matching of Scholarly
           Documents
    • Authors: IGI Global
      Abstract:
      Authors : Congfeng Jiang (School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China), Junming Liu (School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China), Dongyang Ou (School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China), Yumei Wang (School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China), Lifeng Yu (Hithink RoyalFlush Information Network Co., Ltd., Hangzhou, China)
      Volume/Issue: 29/2

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018040101
      Date Posted: 4/1/2018 12:00:00 AM The authors propose to use formatting templates and implicit formatting semantics information for automatic metadata identification and segmentation. The pure texts and their corresponding formatting information including line height, font type, and font size, are recognized in parallel to guide metadata identification. The authors use implicit formatting semantics, such as the change of formatting, formatting templates and implications, explicit formatting layouts, as well as predefined frequently occurred keywords database to increase the extraction accuracy. Unlike other OCR-based approaches, the authors use open source PDFBox package as the basic preprocessing tool to get pure texts and formatting values of the document contents. On top of PDFBox they built their own pipeline program, namely, PAXAT, to implement their approaches for metadata extraction. 10177 papers from arXiv, ACM, ACL and other publicly accessed and institution-subscribed sources are tested. The overall extraction accuracy of title, authors, affiliations, author-affiliation matching are 0.9798, 0.9425, 0.9298, and 0.9109, respectively.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Apr 2018 00:00:00 GMT
       
  • An Efficient Stochastic Update Propagation Method in Data Warehousing
    • Authors: IGI Global
      Abstract:
      Authors : Bijoy Bordoloi (Southern Illinois University Edwardsville, Edwardsville, USA), Bhushan Kapoor (California State University - Fullerton, Fullerton, USA), Tim Jacks (Southern Illinois University Edwardsville, Edwardsville, USA)
      Volume/Issue: 29/2

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018040102
      Date Posted: 4/1/2018 12:00:00 AM This article develops a stochastic update propagation method for an operational data store (ODS) in data warehousing (DW) environments where data storage (and retrieval) is required as a sum of data at distributed source nodes. The authors' proposed method results in less network traffic (as compared with the real-time method) due to update propagation required because of changes in source data. More importantly, the method allows system users to place limits on the discrepancy between the source data and the ODS data that could result due to a time lag between source data changes and the update operation. Finally, the pre-specified limits on the discrepancy are maintained while accounting for two crucial factors in distributed systems: 1) some nodes are situated on more congested network links, and 2) some of the links on the network are less reliable. Real-time data propagation does not account for these frequently encountered networking concerns.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Apr 2018 00:00:00 GMT
       
  • To Evaluate or Not to Evaluate': A Two-Process Model of Innovation
           Adoption Decision Making
    • Authors: IGI Global
      Abstract:
      Authors : Nan (Tina) Wang (Eastern Illinois University, Charleston, USA)
      Volume/Issue: 29/2

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018040103
      Date Posted: 4/1/2018 12:00:00 AM Using information processing theory (IPT) as the theoretical lens and incorporating various literatures following the IPT lens (e.g., dual-threshold in signal detection), this article develops a two-process model of innovation adoption decision making, accounting for the possibility for potential adopters (at different levels) to make adoption decisions (adopt, do not adopt) with or without an intensive evaluation of the innovation. Specifically, this article proposes that there is an attention process prior to the extensively investigated intensive evaluation process; potential adopters may make adoption decisions (adopt, do not adopt) at the end of the attention process or defer making decisions until after an intensive evaluation is conducted. The impacts of innovation attributes on various influence targets (i.e., relative advantage belief strength, adoption threshold and rejection threshold) during the less examined attention process are also discussed. This article may contribute to the innovation adoption literature and provide practical implications for innovation proponents/detractors regarding how to craft sensegiving messages influencing potential adopters' decision making.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Apr 2018 00:00:00 GMT
       
  • A Novel Approach to Distributed Rule Matching and Multiple Firing Based on
           MapReduce
    • Authors: IGI Global
      Abstract:
      Authors : Tianyang Dong (College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China), Qiang Cheng (College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China), Bin Cao (College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China), Jianwei Shi (College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China)
      Volume/Issue: 29/2

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018040104
      Date Posted: 4/1/2018 12:00:00 AM In order to solve the poor performance problem of massive rules reasoning, as well as the inconsistency problem of working memory in distributed rule matching, this article presents the formal definition of interference relations between rules, and proposes a novel approach to distributed rule matching and multiple firing based on MapReduce. This approach adopts the way of access request control to detect and exclude interference rules, then selects several rule instantiations to perform multiple firing and concurrent execution, thus reducing the number of inference cycles effectively. By detecting the interferences between rules, this method selects and executes compatible rule sets, and avoids the inconsistency problem of system working memory. In order to verify the validity of the authors' approach, this article developes a production system based on MapReduce, and applied this approach in the master server of a distributed production system. The experimental results show that their method can promote the performance of massive rules reasoning effectively.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Sun, 01 Apr 2018 00:00:00 GMT
       
  • Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing
    • Authors: IGI Global
      Abstract:
      Authors : Roman Lukyanenko (University of Saskatchewan, Saskatoon, Canada), Jeffrey Parsons (Memorial University of Newfoundland, St. John's, Canada)
      Volume/Issue: 29/1

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018010101
      Date Posted: 1/1/2018 12:00:00 AM The emergence of crowdsourcing as an important mode of information production has attracted increasing research attention. In this article, the authors review crowdsourcing research in the data management field. Most research in this domain can be termed tasked-based, focusing on micro-tasks that exploit scale and redundancy in crowds. The authors' review points to another important type of crowdsourcing – which they term observational – that can expand the scope of extant crowdsourcing data management research. Observational crowdsourcing consists of projects that harness human sensory ability to support long-term data acquisition. The authors consider the challenges in this domain, review approaches to data management for crowdsourcing, and suggest directions for future research that bridges the gaps between the two research streams.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • An Ontological Analysis Framework for Domain-Specific Modeling Languages
    • Authors: IGI Global
      Abstract:
      Authors : Michael Verdonck (Faculty of Economics and Business Administration, Ghent University, Gent, Belgium), Frederik Gailly (Faculty of Economics and Business Administration, Ghent University, Gent, Belgium)
      Volume/Issue: 29/1

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018010102
      Date Posted: 1/1/2018 12:00:00 AM This article describes how domain-specific modeling languages (DSML) are developed to specifically model certain domains and their phenomena. Over the last 15 years, different kinds of DSMLs have been ontologically analyzed to improve their ontological expressiveness. However, the term ‘ontological analyses' encompasses a great variety of different purposes, techniques or methods, and can thus be performed in many different ways without maintaining clear differentiation. Therefore, in this article, the authors aim to structure the process of conducting an ontological analysis, and offers guidelines in the form of descriptive patterns for analyzing a DSML. With the help of this framework, a researcher with a specific purpose can recognize the required patterns and types of methods that can be followed in order to successfully conduct an ontological analysis and achieve the intended purpose.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • QGLG Automatic Energy Gear-Shifting Mechanism with Flexible QoS Constraint
           in Cyber-Physical Systems: Designing, Analysis, and Evaluation
    • Authors: IGI Global
      Abstract:
      Authors : Xindong You (Beijing Institute of Graphic Communication, Tsinghua University, Beijing, China), Yeli Li (Beijing Institute of Graphic Communication, Tsinghua University, Beijing, China), Zhenyang Zhu (Hangzhou Dianzi University, Hangzhou, China), Lifeng Yu (Hithink RoyalFlush Information Network Co., Ltd, Hangzhou, China), Dawei Sun (School of Information Engineering, China University of Geosciences, Beijing, China)
      Volume/Issue: 29/1

      ISSN : 1063-8016
      E
      ISSN : 1533-8010

      DOI : 10.4018/JDM.2018010103
      Date Posted: 1/1/2018 12:00:00 AM This article describes how with the continuous expansion on the volume of data produced by sensors in Cyber Physical Systems, the scale of the cloud storage system has become larger. This will lead to the problems of a high energy consumption rate and a low utilization becoming a serious issue. In order to enhance the effective energy consumption, reduce the invalid energy consumption, and supply more flexible QoS for users in CPS, this article proposes an automatic energy gear-shifting mechanism with flexible QoS constraints (QGLG). The QGLG predicts system load of the follow-up period through a support vector machine model. According to the current system load, the predicted load, and the flexible QoS, QGLG automatically up-shifts and down-shifts among nodes. Substantive results from the simulation experiments done on GridSim show that the QGLG can achieve energy consumption reduction while satisfying the user's flexible QoS requirements. Compared with a similar energy-reducing mechanism, QGLG has its obvious advantage when considering the requirements of user with energy saved notwithstanding.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the Journal of Database Management (JDM) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
 
 
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