Journal of Web Engineering最新文献_第6页

Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework 利用迁移学习优化 RMDL，在 MapReduce 框架中进行情感分类

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2282

Konda Adilakshmi;Malladi Srinivas;Anuradha Kodali;V. Srilakshmi

{"title":"Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework","authors":"Konda Adilakshmi;Malladi Srinivas;Anuradha Kodali;V. Srilakshmi","doi":"10.13052/jwe1540-9589.2282","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2282","url":null,"abstract":"A core task in sentiment analysis is sentiment categorization, and it is crucial to understand user feelings based on their remarks in social media or product evaluations. Due to ambiguous phrases, refusal words, and other factors, categorizing sentiment presents several challenging issues. The objective of this research is to develop a hybrid optimization-based deep learning model and MapReduce framework-based sentiment categorization approach. The review document is taken from a dataset and used in this case with the MapReduce methodology. MapReduce is a software framework and programming model for analyzing massive volumes of data that consists of two phases, mapper and reducer. BERT tokenization and aspect term extraction are executed in the mapper phase, whereas sentiment analysis is performed in the reducer stage utilizing random multimodal deep learning (RMDL) with transfer learning and AlexNet and ResNet 50 as pre-trained models. In addition, the exponential coot political algorithm (ECPA) is offered as an optimization algorithm for weight optimization in RMDL. The ECPA is obtained by combining the exponential weighted moving average model (EWMA) with the coot algorithm, as well as a political optimizer (PO). The proposed ECPA_RMDL model has acquired 90.9% precision, 89.7% recall, and 89.9% f-measure.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1101-1132"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modified DNA-based Cryptography System in the Cloud: Deep Maxout-based Fined Tuned Key Generation 云中基于 DNA 的改良密码学系统：基于深度最大输出的微调密钥生成

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2281

Garima Verma

{"title":"Modified DNA-based Cryptography System in the Cloud: Deep Maxout-based Fined Tuned Key Generation","authors":"Garima Verma","doi":"10.13052/jwe1540-9589.2281","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2281","url":null,"abstract":"Cloud security is a set of practices and tools created to address both internal and external security threats to businesses. Organizations must have cloud security as they implement their digital transformation schemes and include cloud-based tools and services in their infrastructure. Cryptography is a mechanism for preventing illegal access to data. In this paper, modified DNA-based cryptography (MDNAC), which is defined as data hiding with respect to DNA sequence is used. The steps involved in the proposed MDNAC is: encryption and decryption with optimal key generation. A way of converting plain text into cipher text is known as encryption. Two components make up the encryption process: a key and an encryption algorithm. For the encryption algorithm, we employed a modified DNA algorithm. In the decryption phase, the reverse operation is performed to get the plain text from the cipher text. Moreover, a deep learning model is used for generating the keys; the model used is deep maxout. To ensure the appropriate key generation process, the weights of the deep maxout are optimally tuned by the new feedback assisted Archimedes optimization (FAAO) algorithm. Based on the generated keys, the encryption process takes place. Finally, the performance of MDNAC is evaluated using conventional methods with respect to different measures. Additionally, the MDNAC obtained a correlation value of 0.20297 for the mean case scenario, despite the fact that the corresponding values are 0.02%, 0.17%, 0.2%, 0.7%, 0.12%,0.41%, 0.86%, and 0.46% as compared to the other models such as FAT, AOA, BMO, COOT, BOA, SSO, WOA, and LES respectively.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1075-1099"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452389","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LUBM4OBDA: Benchmarking OBDA Systems with Inference and Meta Knowledge LUBM4OBDA：利用推理和元知识对 OBDA 系统进行基准测试

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2284

Julián Arenas-Guerrero;María S. Pérez;Oscar Corcho

{"title":"LUBM4OBDA: Benchmarking OBDA Systems with Inference and Meta Knowledge","authors":"Julián Arenas-Guerrero;María S. Pérez;Oscar Corcho","doi":"10.13052/jwe1540-9589.2284","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2284","url":null,"abstract":"Ontology-based data access focuses on enabling query evaluation over heterogeneous relational databases according to the model represented by an ontology. The relationships between the ontology and the data sources are commonly defined with declarative mappings, which are used by systems to perform SPARQL-to-SQL query translation or to generate RDF dumps from the relational databases. Besides the potential homogenization of data because of using an ontology, some additional advantages of this paradigm are that it may allow applying reasoning thanks to the ontology, as well as querying for meta knowledge, which describes statements with information such as provenance or certainty. In this paper, (i) we adapt a widely used RDF graph store benchmark, namely LUBM, for ontology-based data access, (ii) extend the benchmark for the evaluation of queries that exploit meta knowledge, and (iii) apply it for performance evaluation of state-of-the-art declarative mapping systems. Our proposal, the LUBM4OBDA Benchmark, considers inference capabilities that are not covered by previous ontology-based data access benchmarks, and it is the first one for the evaluation of meta knowledge and the RDF-star data model. The experimental evaluation shows that current virtualization systems cannot handle some advanced inference tasks, and that optimizations are needed to scale RDF-star materialization.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1163-1185"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing Web-based Information Resources Under Uncertainty: A Probabilistic Approach 不确定情况下的网络信息资源管理：概率方法

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2283

Asma Omri;Mohamed-Nazih Omri

{"title":"Managing Web-based Information Resources Under Uncertainty: A Probabilistic Approach","authors":"Asma Omri;Mohamed-Nazih Omri","doi":"10.13052/jwe1540-9589.2283","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2283","url":null,"abstract":"“Uncertainty” is related to working with inaccurate data, imprecise and incomplete information, and unreliable results that can lead to irrational decisions. Several approaches to managing uncertain data on the Web have been proposed in the literature to resolve this problem. These approaches have failed to find the solution to this problem with accuracy and performance. Our study aims to propose a new probabilistic approach to manage Web information resources in an uncertain large-scale cloud environment. Our approach is based on three main steps: (1) modelling uncertain Web resources, (2) computing HTTP request model, and (3) interpretation and evaluation of uncertain Web resources in a context of classic hypertext navigation. The experimental study shows that the analysis of the execution time necessary for the composition of the services, by our approach, is negligible, compared to that of the other studied approaches. The algorithm that deals with the impact of the variation in the number of nodes, which we have proposed, has also been evaluated and checks all the possibilities in polynomial time and can adapt to many possibilities of multiplexing of values.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1133-1161"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452388","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting Spam E-mails with Content and Weight-Based Binomial Logistic Model 利用基于内容和权重的二叉 Logistic 模型检测垃圾邮件

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-10-01 DOI: 10.13052/jwe1540-9589.2271

Richa Indu;Sushil Chandra Dimri

{"title":"Detecting Spam E-mails with Content and Weight-Based Binomial Logistic Model","authors":"Richa Indu;Sushil Chandra Dimri","doi":"10.13052/jwe1540-9589.2271","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2271","url":null,"abstract":"Spam e-mails are continuously increasing and are a serious threats to a network and its users. Several efficient methods are available regarding this context, but still, it is evolving randomly. Considering this, the proposed approach addresses the problem of spam detection by combining traditional content-matching criteria with the modified version of the binomial logistic algorithm. The work generates seven categories for content-matching, which begins from three basic categories, namely: special words, adult content, and specific symbols and digits. The remaining four categories are derived from various possible combinations of these basic categories. The words selected for each category are carefully curated based on the human psychology of action and reaction. Then, a weight is assigned to each of the categories to signify their importance and a threshold criterion is deployed before implementing the binomial logistic algorithm, which not only increases the efficiency of the proposed algorithm but also reduces the rate of misclassification. The proposed model is tested on six separate datasets of Enron Spam Corpus, where 98.31% and 92.575% are the maximum and minimum accuracies achieved, respectively, in spam e-mail classification. The AUC_ROC scores for the entire Spam Corpus range between 0.927 and 0.983. A comparison is also carried out between the proposed algorithm and the other methods of spam detection that have logistic regression. Finally, the suggested method can adequately handle a large sample size without compromising the efficacy, which is measured using accuracy, precision, recall, F-measure, and AUC_ROC score.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 7","pages":"939-959"},"PeriodicalIF":0.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10431807","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139715134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction Model of Post-TAVR Complication Using a Medical Twin Web Navigator 使用医学双子网络导航器的 TAVR 术后并发症预测模型

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-10-01 DOI: 10.13052/jwe1540-9589.2274

Se-Min Hyun;KangYoon Lee

引用次数: 0

Extended Reality Platform for Metaverse Exhibition 元宇宙展览的扩展现实平台

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-10-01 DOI: 10.13052/jwe1540-9589.2275

Choonsung Shin;Seokhee Oh;Hieyong Jeong

引用次数: 0

Improved Design of Concurrent Synchronization System Controller Based on Petri Net 基于 Petri 网的并发同步系统控制器的改进设计

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-10-01 DOI: 10.13052/jwe1540-9589.2272

Xu Yang;Shaocui Guo;Dongming Xiang;Yuxin Yang;Yijun Chen

引用次数: 0

Fine-Grained Sentiment-Enhanced Collaborative Filtering-Based Hybrid Recommender System 基于细粒度句子增强协同过滤的混合推荐系统

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-10-01 DOI: 10.13052/jwe1540-9589.2273

Rawaa Alatrash;Rojalina Priyadarshini

{"title":"Fine-Grained Sentiment-Enhanced Collaborative Filtering-Based Hybrid Recommender System","authors":"Rawaa Alatrash;Rojalina Priyadarshini","doi":"10.13052/jwe1540-9589.2273","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2273","url":null,"abstract":"Developing online educational platforms necessitates the incorporation of new intelligent procedures in order to improve long-term student experience. Presently, e-learning recommender systems rely on deep learning methods to recommend appropriate e-learning materials to the students based on their learner profiles. Fine-grained sentiment analysis (FSA) can be leveraged to enrich the recommender system. User-posted reviews and rating data are vital in accurately directing the student to the appropriate e-learning resources based on posted comments by comparable learners. In this work, a new e-learning recommendation system is proposed based on individualization and FSA. A hybrid framework is provided by integrating alternating least square (ALS) based collaborative filtering (CF) with FSA to generate an effective e-content recommendation named HCFSAR. ALS attempts to capture the learner's latent factors based on their selections of interest to build the learner profile. Three FSA models based on attention mechanisms and bidirectional long short-term memory (bi-LSTM) are suggested and used to train twelve models in order to predict new ratings from learner-posted book reviews based on the extracted learner profile. HCFSAR used multiplication word embeddings for stronger corpus representation that were trained on a dataset generated for an educational context and showed a better accuracy of 93.39% for the best model entitled MHAM based ABHR-2 with multiplication (MHAAM), which performed better than other models. A tailored dataset that has been created by scraping reviews of different e-learning resources is leveraged to train different proposed models and validate against public datasets.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 7","pages":"983-1035"},"PeriodicalIF":0.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10431746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139715188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating Citizens' Avatars in Urban Digital Twins 在城市数字孪生中整合市民头像

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-09-01 DOI: 10.13052/jwe1540-9589.2264

Rafael García-Luque;Lorenzo Toro-Gálvez;Nathalie Moreno;Javier Troya;Carlos Canal;Ernesto Pimentel

引用次数: 0