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A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling 基于网络语义的文本分析方法，利用 PU 学习和负采样增强命名实体识别能力
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-12-29 DOI: 10.4018/ijswis.335113
Shunqin Zhang, Sanguo Zhang, Wenduo He, Xuan Zhang
{"title":"A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling","authors":"Shunqin Zhang, Sanguo Zhang, Wenduo He, Xuan Zhang","doi":"10.4018/ijswis.335113","DOIUrl":"https://doi.org/10.4018/ijswis.335113","url":null,"abstract":"The NER task is largely developed based on well-annotated data. However, in many scenarios, the entities may not be fully annotated, leading to serious performance degradation. To address this issue, the authors propose a robust NER approach that combines a novel PU-learning algorithm and negative sampling. Unlike many existing studies, the proposed method adopts a two-step procedure for handling unlabeled entities, thereby enhancing its capability to mitigate the impact of such entities. Moreover, this algorithm demonstrates high versatility and can be integrated into any token-level NER model with ease. The effectiveness of the proposed method is verified on several classic NER models and datasets, demonstrating its strong ability to handle unlabeled entities. Finally, the authors achieve competitive performances on synthetic and real-world datasets.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":" 20","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139144107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Network Intrusion Detection Method for Information Systems Using Federated Learning and Improved Transformer 使用联合学习和改进变压器的信息系统网络入侵检测方法
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-12-15 DOI: 10.4018/ijswis.334845
Qi Zhou, Zhoupu Wang
{"title":"A Network Intrusion Detection Method for Information Systems Using Federated Learning and Improved Transformer","authors":"Qi Zhou, Zhoupu Wang","doi":"10.4018/ijswis.334845","DOIUrl":"https://doi.org/10.4018/ijswis.334845","url":null,"abstract":"A network intrusion detection method for information systems using federated learning and improved transformer is proposed to address the problems of long detection time and low security and accuracy when analyzing massive data in most existing intrusion detection methods. Firstly, a network intrusion detection system is constructed based on a federated learning framework, and the transformer model is used as its universal detection model. Then, the dataset is divided and an improved generative adversarial network is used for data augmentation to generate a new sample set to overcome the influence of minority class samples. At the same time, the new samples are input into the transformer local model for network attack type detection and analysis. Finally, the authors aggregate the detection results of each local model and input them into the Softmax classifier to obtain the final classification prediction results.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"6 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139000295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blockchain-Based Lightweight Authentication Mechanisms for Industrial Internet of Things and Information Systems 基于区块链的工业物联网和信息系统轻量级认证机制
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-12-15 DOI: 10.4018/ijswis.334704
Mingrui Zhao, Chunjing Shi, Yixiao Yuan
{"title":"Blockchain-Based Lightweight Authentication Mechanisms for Industrial Internet of Things and Information Systems","authors":"Mingrui Zhao, Chunjing Shi, Yixiao Yuan","doi":"10.4018/ijswis.334704","DOIUrl":"https://doi.org/10.4018/ijswis.334704","url":null,"abstract":"The industrial internet of things (IIoT) necessitates robust cross-domain authentication to secure sensitive on-site equipment data. This paper presents a refined reputation-based lightweight consensus mechanism (LRBCM) tailored for IIoT's distributed network structures. Leveraging node reputation values, LRBCM streamlines ledger consensus, minimizing communication overhead and complexity. Comparative experiments show LRBCM outperforms competing mechanisms. It maintains higher throughput as the number of participating nodes increases and achieves a throughput approximately 10.78% higher than ReCon. Moreover, runtime analysis demonstrates LRBCM's scalability, surpassing ReCon by approximately 12.79% with equivalent nodes and transactions. In addition, as a combination of LRBCM, the proposed distributed lightweight authentication mechanism (ELAM) is rigorously evaluated against the security of various attacks, and its resilience is confirmed. Experiments show that ELAM has good efficiency while maintaining high security.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"120 2","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138998426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Semantic Trajectory Planning for Industrial Robotics 工业机器人的语义轨迹规划
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-12-07 DOI: 10.4018/ijswis.334556
Zhou Li, Gengming Xie, Varsha Arya, Kwok Tai Chui
{"title":"Semantic Trajectory Planning for Industrial Robotics","authors":"Zhou Li, Gengming Xie, Varsha Arya, Kwok Tai Chui","doi":"10.4018/ijswis.334556","DOIUrl":"https://doi.org/10.4018/ijswis.334556","url":null,"abstract":"The implementation of industrial robots across various sectors has ushered in unparalleled advancements in efficiency, productivity, and safety. This paper explores the domain of semantic trajectory planning in the area of industrial robotics. By adeptly merging physical constraints and semantic knowledge of environments, the proposed methodology enables robots to navigate complex surroundings with utmost precision and efficiency. In a landscape marked by dynamic challenges, the research positions semantic trajectory planning as a linchpin in fostering adaptability. It ensures robots interact safely with their surroundings, providing vital object detection and recognition capabilities. The proposed ResNet model exhibits remarkable classification performance, bolstering overall productivity. The study underscores the significance of this approach in addressing real-world industrial applications while emphasizing accuracy, precision, and enhanced productivity.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"5 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138591951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Digital Copyright Management Mechanism Based on Dynamic Encryption for Multiplatform Browsers 基于多平台浏览器动态加密的数字版权管理机制
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-12-04 DOI: 10.4018/ijswis.334591
Ming-Te Chen, Yi Yang Chang, Ta Jen Wu
{"title":"Digital Copyright Management Mechanism Based on Dynamic Encryption for Multiplatform Browsers","authors":"Ming-Te Chen, Yi Yang Chang, Ta Jen Wu","doi":"10.4018/ijswis.334591","DOIUrl":"https://doi.org/10.4018/ijswis.334591","url":null,"abstract":"In recent years, the internet and smart devices have developed rapidly. Many people no longer rely on newspapers, magazines, or television to receive news. They can see the latest news using computers or mobile phones. According to a study by the Taiwan Internet Information Center, nearly 90% of Taiwanese people have used the internet. Many online streaming services have emerged, and people can easily watch movies and TV programs through computers or mobile phones. Hence, some websites use digital copyright management mechanisms to protect videos from being directly downloaded. However, 30% of websites use AES-128 encryption to protect their content. If the key access mechanism is not well protected, the encryption methodology may be useless. Therefore, this paper proposes a cross-platform digital copyright management mechanism for adaptive streaming. With this mechanism, users do not need to download additional applications, as the mechanism implements Web-Assembly language through the browser.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"14 5","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138603462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Redefining E-Commerce Experience 重新定义电子商务体验
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-28 DOI: 10.4018/ijswis.334123
Mohammad Al Khaldy, Abdelraouf Ishtaiwi, Ahmad Al-qerem, A. Aldweesh, Mohammad Alauthman, Ammar Almomani, Varsha Arya
{"title":"Redefining E-Commerce Experience","authors":"Mohammad Al Khaldy, Abdelraouf Ishtaiwi, Ahmad Al-qerem, A. Aldweesh, Mohammad Alauthman, Ammar Almomani, Varsha Arya","doi":"10.4018/ijswis.334123","DOIUrl":"https://doi.org/10.4018/ijswis.334123","url":null,"abstract":"Integrating virtual reality (VR) and augmented reality (AR) technology into online stores enables more immersive and engaging shopping experiences, which is crucial for businesses to succeed in today's competitive e-commerce market. These technologies offer unique, personalized experiences that consider the preferences and requirements of each customer. This research aims to understand better the most recent developments in AR and VR technology, and how these technologies might be used in e-commerce. Multiple databases were used to conduct a thorough search, and the inclusion criteria focused on using AR and VR in e-commerce. A total of 55 papers were found and categorized based on the research methodologies and issues used. Based on the findings of the research paper, it can be concluded that integrating AR and VR technologies in e-commerce has significant potential to improve various aspects of the online shopping experience.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"34 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139217988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning-Based Sentiment and Stance Analysis of Tweets About Vaccination 基于深度学习的疫苗接种推文情感和立场分析
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-21 DOI: 10.4018/ijswis.333865
D. Küçük, Nursal Arıcı
{"title":"Deep Learning-Based Sentiment and Stance Analysis of Tweets About Vaccination","authors":"D. Küçük, Nursal Arıcı","doi":"10.4018/ijswis.333865","DOIUrl":"https://doi.org/10.4018/ijswis.333865","url":null,"abstract":"Sentiment analysis and stance detection are interrelated problems of affective computing, and their outputs commonly complement each other. The focus of this article is to determine sentiments and stances of Twitter users about vaccination. A tweet dataset on COVID-19 vaccination is compiled and jointly annotated with sentiment and stance. This deep learning approach employs BERT, which is a model based on pre-trained transformers. The generative deep learning model, ChatGPT, is also used for stance and sentiment analysis on the dataset. ChatGPT achieves the best performance for stance detection, while BERT is the best performer for sentiment analysis. This study is the first one to observe stance and sentiment detection performance of ChatGPT on health-related tweets. This article also includes a full-fledged system proposal based on automatic sentiment and stance analysis. COVID-19 pandemic is an impactful global public health phenomenon, and hence, joint extraction of sentiments and stances from health-related tweets can profoundly contribute to health-related decision-making processes.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"35 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Named Entity Recognition Approach for Electronic Medical Records Using BERT Semantic Enhancement and BiLSTM 使用 BERT 语义增强和 BiLSTM 的电子病历命名实体识别方法
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-16 DOI: 10.4018/ijswis.333711
Xuewei Lai, Qingqing Jie
{"title":"A Named Entity Recognition Approach for Electronic Medical Records Using BERT Semantic Enhancement and BiLSTM","authors":"Xuewei Lai, Qingqing Jie","doi":"10.4018/ijswis.333711","DOIUrl":"https://doi.org/10.4018/ijswis.333711","url":null,"abstract":"Aiming at the problems of missing local context features, single word vector representation, and low entity recognition accuracy, a method for e-medical recording with named entity recognition, which is based on BERT and model fusion, is proposed. First, with the model of BERT for pre-training, the preceding and following contextual information is fused for the enhancement of word semantic representation and alleviation of the problem of polysemy; second, the network of bi-directional long-short term memory is for obtaining the sequence feature matrix, generation of optimal sequence in global sense achieved through the conditional random field model; finally, data enhancement is used to alleviate the class imbalance and improve the model ability in generalization. Results of the experiments find model proposal measured by F1 on CCKS21 data set reaches 0.8548, which is 0.51% and 0.08% higher than models with ID-CNNs-CRF and multi-task RNN. This demonstrates the excellent performance of the method proposed in this paper in improving named entity recognition.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"27 17","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Remote Sensing Image Semantic Segmentation Method Based on a Deep Convolutional Neural Network and Multiscale Feature Fusion 基于深度卷积神经网络和多尺度特征融合的遥感图像语义分割方法
IF 3.2 4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-16 DOI: 10.4018/ijswis.333712
Guangzhen Zhang, Wangyang Jiang
{"title":"Remote Sensing Image Semantic Segmentation Method Based on a Deep Convolutional Neural Network and Multiscale Feature Fusion","authors":"Guangzhen Zhang, Wangyang Jiang","doi":"10.4018/ijswis.333712","DOIUrl":"https://doi.org/10.4018/ijswis.333712","url":null,"abstract":"There are many problems with remote sensing images, such as large data scales, complex illumination conditions, occlusion, and dense targets. The existing semantic segmentation methods for remote sensing images are not accurate enough for small and irregular target segmentation results, and the edge extraction results are poor. The authors propose a remote sensing image segmentation method based on a DCNN and multiscale feature fusion. Firstly, an end-to-end remote sensing image segmentation model using complete residual connection and multiscale feature fusion was designed based on a deep convolutional encoder–decoder network. Secondly, weighted high-level features were obtained using an attention mechanism, which better preserved the edges, texture, and other information of remote sensing images. The experimental results on ISPRS Potsdam and Urban Drone datasets show that compared with the comparison methods, this method has better segmentation effect on small and irregular objects and achieves the best segmentation performance while ensuring the computation speed.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"30 18","pages":""},"PeriodicalIF":3.2,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Decentralized Architecture for Semantic Interoperability of Personal Dental Data Based on FHIR 基于FHIR的个人牙科数据语义互操作的分散体系结构
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-14 DOI: 10.4018/ijswis.333633
Hugo Lebredo, Daniel Fernández-Álvarez, Jose Emilio Labra-Gayo
{"title":"A Decentralized Architecture for Semantic Interoperability of Personal Dental Data Based on FHIR","authors":"Hugo Lebredo, Daniel Fernández-Álvarez, Jose Emilio Labra-Gayo","doi":"10.4018/ijswis.333633","DOIUrl":"https://doi.org/10.4018/ijswis.333633","url":null,"abstract":"Several problems arise due to the differences between dentistry and general medicine. The storage of dental data in information silos, the incompatibility of data between different dental clinics or institutions from other medical areas are the most significant ones. The authors propose a decentralized architecture that combines FHIR archetypes, shape expressions, and personal online datastores (PODs) to tackle those issues as follows: FHIR archetypes are used to express the data, shape expressions are used to handle data structure and data access requests, and PODs are used to store information in a decentralized and safe manner that let the owner of the information stored to handle data access. The system allows the patient to store dental information from heterogeneous data sources transparently and respecting the patient's right to autonomy and consent. In this paper, the authors develop this architecture proposal and discuss its relevance and feasibility in the area of dental health.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"25 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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