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  • Open Access


    On Multi-Thread Crawler Optimization for Scalable Text Searching

    Guang Sun1, Huanxin Xiang2, Shuanghu Li1,*

    Journal on Big Data, Vol.1, No.2, pp. 89-106, 2019, DOI:10.32604/jbd.2019.07235

    Abstract Web crawlers are an important part of modern search engines. With the development of the times, data has exploded and humans have entered a “big data era”. For example, Wikipedia carries the knowledge from all over the world, records the real-time news that occurs every day, and provides users with a good database of data, but because of the large amount of data, it puts a lot of pressure on users to search. At present, single-threaded crawling data can no longer meet the requirements of text crawling. In order to improve the performance and program versatility of single-threaded crawlers, a… More >

  • Open Access


    Application of Ontology in the Web Information Retrieval

    Zimeng Xing1, Lina Wang1,*, Wenbo Xing2, Yongjun Ren3, Tao Li4, Jinyue Xia5

    Journal on Big Data, Vol.1, No.2, pp. 79-88, 2019, DOI:10.32604/jbd.2019.05806

    Abstract In this paper, the research advances of ontology and its application are reviewed firstly. With the development of ontology technology, subject-oriented web information retrieval technology combining ontology has been becoming one of the hot scientific issues. The innovative method of the semantic web technology combined with the traditional information retrieval technology is put forward, and the related algorithm based on ontology for judging the relevancy with different topics is also represented, and has proved to be effective in given experiments. More >

  • Open Access


    Digital Continuity Guarantee Method of Urban Construction Archives Based on Risk Management

    Ran Ou1,2, Fei Chen1,2, Yongjun Ren1,2,*, Yepeng Liu1,2, Qirun Wang3

    Journal on Big Data, Vol.1, No.2, pp. 71-77, 2019, DOI:10.32604/jbd.2019.06057

    Abstract With the broad application of information technology in urban infrastructure, urban construction has entered the stage of a smart city, forming many electronic records in urban construction. These electronic records play a vital role in the maintenance of urban infrastructure. However, electronic records often change in the process of urban construction. How to preserve the electronic records of urban construction became a significant challenge. In response to this problem, this paper proposes the use of risk-based management techniques to ensure the digital continuity, authenticity, integrity, and availability of electronic records More >

  • Open Access


    Multi-Scale Variation Prediction of PM2.5 Concentration Based on a Monte Carlo Method

    Chen Ding1, Guizhi Wang1,*, Qi Liu2

    Journal on Big Data, Vol.1, No.2, pp. 55-69, 2019, DOI:10.32604/jbd.2019.06110

    Abstract Haze concentration prediction, especially PM2.5, has always been a significant focus of air quality research, which is necessary to start a deep study. Aimed at predicting the monthly average concentration of PM2.5 in Beijing, a novel method based on Monte Carlo model is conducted. In order to fully exploit the value of PM2.5 data, we take logarithmic processing of the original PM2.5 data and propose two different scales of the daily concentration and the daily chain development speed of PM2.5 respectively. The results show that these data are both approximately normal distribution. On the basis of the results, a Monte… More >

  • Open Access


    Brief Talk About Big Data Graph Analysis and Visualization

    Guang Sun1,2, Fenghua Li1,*, Wangdong Jiang1

    Journal on Big Data, Vol.1, No.1, pp. 25-38, 2019, DOI:10.32604/jbd.2019.05800

    Abstract Graphical methods are used for construction. Data analysis and visualization are an important area of applications of big data. At the same time, visual analysis is also an important method for big data analysis. Data visualization refers to data that is presented in a visual form, such as a chart or map, to help people understand the meaning of the data. Data visualization helps people extract meaning from data quickly and easily. Visualization can be used to fully demonstrate the patterns, trends, and dependencies of your data, which can be found in other displays. Big data visualization analysis combines the… More >

  • Open Access


    Network Electronic Record Management Based on Linked Data

    Jian Qi1, Yongjun Ren1,2,*, Qirun Wang3

    Journal on Big Data, Vol.1, No.1, pp. 9-15, 2019, DOI:10.32604/jbd.2019.06290

    Abstract With the rapid development of e-government, e-commerce and self-media, a large number of electronic network records have been generated on the Internet. How to archive these resources has become a focus of attention in academic circles. Based on the theory of linked data, this paper analyzes the archiving of electronic records, and proposes that the corresponding network electronic records should be collected using the theory of linked data. After the resource description framework and corresponding international standards are utilized to convert the network resources, the electronic network records are stored in common databases to solve the problem of network record… More >

  • Open Access


    Code-Based Preservation Mechanism of Electronic Record in Electronic Record Center of Cloud Storage

    Yan Leng1,2, Yongjun Ren1,2,*, Chengshan Qian3, Jinyue Xia4

    Journal on Big Data, Vol.1, No.1, pp. 39-45, 2019, DOI:10.32604/jbd.2019.05870

    Abstract With the rapid development of E-commerce and E-government, there are so many electronic records have been produced. The increasing number of electronic records brings about storage difficulties, the traditional electronic records center is difficult to cope with the current fast growth requirements of electronic records storage and management. Therefore, it is imperative to use cloud storage technology to build electronic record centers. However, electronic records also have weaknesses in the cloud storage environment, and one of them is that once electronic record owners or managers lose physical control of them, the electronic records are more likely to be tampered with… More >

  • Open Access


    SERVQUAL Model Based Evaluation Analysis of Railway Passenger Transport Service Quality in China

    Huiwei Niu1, Jiao Yao1,*, Jing Zhao2, Jin Wang3,4

    Journal on Big Data, Vol.1, No.1, pp. 17-24, 2019, DOI:10.32604/jbd.2019.05799

    Abstract Railway is the backbone of Chinese transportation system, but its poor quality of services for passengers cause complains now and then. This study first analyzed the influencing factors of service quality on railway passenger, and its quality characteristics was also explained, and finally we proposed an evaluation system of service quality on railway passenger transport. Through the statistical analysis and processing of the basic information from survey data from railway station, trains and the official website of the ticket purchase, the evaluation score of question naire was converted into the score in evaluation index system, which was based on SERVQUAL… More >

  • Open Access


    Multi-Layer Graph Generative Model Using AutoEncoder for Recommendation Systems

    Syed Falahuddin Quadri1, Xiaoyu Li1,*, Desheng Zheng2, Muhammad Umar Aftab1, Yiming Huang3

    Journal on Big Data, Vol.1, No.1, pp. 1-7, 2019, DOI:10.32604/jbd.2019.05899

    Abstract Given the glut of information on the web, it is crucially important to have a system, which will parse the information appropriately and recommend users with relevant information, this class of systems is known as Recommendation Systems (RS)-it is one of the most extensively used systems on the web today. Recently, Deep Learning (DL) models are being used to generate recommendations, as it has shown state-of-the-art (SoTA) results in the field of Speech Recognition and Computer Vision in the last decade. However, the RS is a much harder problem, as the central variable in the recommendation system’s environment is the… More >

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