2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)最新文献_第8页

Analyzing Events’ Impacts on Mental Health Using Tweets 使用推特分析事件对心理健康的影响

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00084

Sudha Tushara Sadasivuni, Yanqing Zhang

引用次数: 0

Technology transfer in e-communication for small and medium enterprises as promoters of innovation and competitiveness 中小企业在电子通讯方面的技术转让促进创新和竞争力

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00083

Alessandra Batista, Ana Carolina Cutrim Bessa, Antonio L. Junior, F. Lobato

{"title":"Technology transfer in e-communication for small and medium enterprises as promoters of innovation and competitiveness","authors":"Alessandra Batista, Ana Carolina Cutrim Bessa, Antonio L. Junior, F. Lobato","doi":"10.1109/WI-IAT55865.2022.00083","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00083","url":null,"abstract":"Globalization, technological innovations, and the coronavirus disease (COVID-19) pandemic have promoted disruptive changes in buying and selling negotiation models through e-communication. As a result, Small and Medium Enterprises (SMEs) have been forced to adapt to online channels. Considering market relevance, this article describes the survey results with 11 SMEs regarding their adherence to digital media. Moreover, a case study of a selected company demonstrated barriers and propulsions to digital adequacy. The aim was to promote SMEs' competitiveness through technology transfer, focusing on e-communication and strategic digital planning. The results show that the insertion of technology through digital media depends on the knowledge of the tools used in this medium. Therefore, despite being ready to use, SMEs have not yet fully leveraged digital media. Organizational barriers, such as lack of time for those responsible, lack of training and knowledge, and strategic planning, were observed. However, environmental factors such as competitive pressure and innovation-related policies are positive for insertion. Thus, there is room for companies to invest in digital strategic planning focused on improving sales, customer relations, and competitiveness.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129603245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Basic research on information systems to support nurses in the event of a large-scale disaster 信息系统的基础研究，以支持护士在发生大规模灾难的情况下

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00109

Satoshi Iwamoto, Futoshi Ohyama, Hiroki Matsumoto

{"title":"Basic research on information systems to support nurses in the event of a large-scale disaster","authors":"Satoshi Iwamoto, Futoshi Ohyama, Hiroki Matsumoto","doi":"10.1109/WI-IAT55865.2022.00109","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00109","url":null,"abstract":"In recent years, there are home evacuees in Japan who remain in their homes at the time of a disaster. The physical distance between home evacuees and supporters makes it difficult for various types of support to reach them. Therefore, we focused on perinatal care. We have also studied and proposed the development of an information system to support nurses who provide medical care to home evacuees in the event of a large-scale disaster. In this study, we examined and organized further requirements for the development of our system. As a result, the types of information to be shared between nurses in the disaster area and remote supporters were identified. In addition, simulations of communication conditions using Digital Convenience Radio (DCR) showed its practicality in the event of a major disaster in which public communication lines do not function. In the future, we would like to create an Information and Communication Technology (ICT) device to build the system we are aiming for. We would then like to conduct demonstration tests and evaluation. The progress of this research suggests that it can contribute not only to the development and quality improvement of disaster medical care systems, but also to home medical care in peacetime.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time-Series Flexible Resampling for Continuous and Real-Time Finger Character Recognition 连续和实时手指字符识别的时间序列灵活重采样

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00059

Takuma Nitta, Shinpei Hagimoto, Kyosuke Miyamura, Ryotaro Okada, T. Nakanishi

{"title":"Time-Series Flexible Resampling for Continuous and Real-Time Finger Character Recognition","authors":"Takuma Nitta, Shinpei Hagimoto, Kyosuke Miyamura, Ryotaro Okada, T. Nakanishi","doi":"10.1109/WI-IAT55865.2022.00059","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00059","url":null,"abstract":"Sign language is one of the crucial methods of communication for deaf or hearing-impaired people. Finger characters are often used to supplement sign language in conversations, especially when it is difficult to express some words by sign language. However, few people understand sign language. The realization of an automatic translation system for sign language or finger characters will facilitate communication with deaf or hearing-impaired people. To develop a finger character recognition system that is practical in the daily lives for smooth conversations, continuous and real-time recognition is required. This paper presents a novel real-time data processing framework, the time-series flexible resampling. This framework consists of three steps: detection, segmentation, and extraction. This framework enables continuous and real-time recognition for acyclic time-series data, in which stable states and changing states occur repeatedly. In addition, continuous and real-time finger character recognition is realized by applying time-series flexible resampling. The effectiveness of applying time-series flexible resampling to the finger character recognition system was verified in subject experiments.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127075028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

KEvent – A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN KEvent——一种基于语义丰富图的OSN事件检测突发性关键字大写方法

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00093

Sielvie Sharma, M. Abulaish, Tanvir Ahmad

{"title":"KEvent – A Semantic-Enriched Graph-Based Approach Capitalizing Bursty Keyphrases for Event Detection in OSN","authors":"Sielvie Sharma, M. Abulaish, Tanvir Ahmad","doi":"10.1109/WI-IAT55865.2022.00093","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00093","url":null,"abstract":"Social networks are growing quickly, and they have soon taken over as the main global source of breaking news. As a result, these platforms provide a plethora of user-generated content, which has inspired researchers to delve into and interpret data for a variety of objectives. Due to its effectiveness in locating news items hidden inside enormous amounts of voluminous data, event detection in online social network data has recently grown in prominence. In this research, we introduce KEvent, a novel graph-based technique for event detection from Twitter messages (aka tweets). The suggested method divides tweets into bins for extracting bursty keyphrases and then uses post-processing techniques to create a weighted keyphrase graph using the Word2Vec model. The keyphrase graph is then subjected to Markov clustering for the purpose of clustering and event detection. KEvent is evaluated over the Events2012 benchmark dataset, and it performs noticeably better when compared to two state-of-the-art techniques, Twevent and SEDTWik. Additionally, KEvent has the ability to find events that the aforementioned state-of-the-art techniques were unable to find.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132119436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating Users’ Motives for Engaging in Flaming by Analyzing Despise Tweets 通过分析鄙视推文来调查用户参与燃烧的动机

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/wi-iat55865.2022.00076

Wonseok Lee, Takanori Komatsu, F. Toriumi

{"title":"Investigating Users’ Motives for Engaging in Flaming by Analyzing Despise Tweets","authors":"Wonseok Lee, Takanori Komatsu, F. Toriumi","doi":"10.1109/wi-iat55865.2022.00076","DOIUrl":"https://doi.org/10.1109/wi-iat55865.2022.00076","url":null,"abstract":"The purpose of this study is to investigate the motives of SNS users to engage in flaming by analyzing collected tweets. We hypothesized that SNS users make a downward comparison with flaming targets to show off their superiority, and we defined tweets that verbally despise a target as \"despise tweets.\" We investigated the proportion of despise tweets in 10 flaming and 4 non-flaming cases. As a result, we found that the proportion increased in all flaming cases. The correlation coefficients between the number of tweets and the proportion were positive for all flaming cases, which strongly supported our hypothesis. The results also suggest that it is possible to classify the patterns of flaming by examining the time when the maximum value of the proportion of despise tweets is reached. Specifically, we found that the proportion reached its maximum value earlier than the peak number of tweets in one-sided flaming cases, while it reached its peak later in cases where both sides of a controversial issue were present. Thus, it is possible to visualize the structure and background of flaming by tracking the relationship between the number of despise tweets and the number of tweets over time.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132684915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-Learning DFS-NER:描述通过提示学习和元学习增强的少射NER

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00131

Huinan Huang, Yuming Feng, Xiaolong Jin, Saiping Guan, Jiafeng Guo

{"title":"DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-Learning","authors":"Huinan Huang, Yuming Feng, Xiaolong Jin, Saiping Guan, Jiafeng Guo","doi":"10.1109/WI-IAT55865.2022.00131","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00131","url":null,"abstract":"Named Entity Recognition (NER) is a very common task in many social good related domains. Recently, deep learning based NER has gradually matured, but still faces the scarcity problem of labeled data in specific domains. Therefore, researchers focus on few-shot NER to reduce the model’s data dependence and enhance the transferability of the model. However, existing works usually cannot adapt to new entity types and are prone to the so-called negative transfer problem. Therefore, in this paper we propose a type- Description-enhanced Few Shot NER model, called DFS-NER, which effectively integrates the prompt learning paradigm and the meta-learning framework. DFS-NER performs well under frozen pre-training model parameters through continuous templates. It realizes efficient source domain training and target domain parameter fine-tuning through the metalearning framework. We enhance the robustness of entity- type prototype representations by introducing word-word- level and word-type-level contrastive learning objectives and capsule networks as the induction module. Simultaneously, based on discrete prompt learning, a masked-language model learning objective guided by type description is proposed, which can well absorb the semantic information of entity types. Experiments on commonly used datasets, including, SNIPS, Few-NERD, and MIT Movie show that DFS-NER basically surpasses baseline models and achieves the state-of-the-art performance.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"143 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129485767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gesture Recognition Using MediaPipe for Online Realtime Gameplay 使用MediaPipe进行在线实时游戏的手势识别

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00039

Urvil Patel, Sourabh Rupani, Vipin Saini, Xing Tan

引用次数: 0

Web Mining from Interpretable Compressed Representation of Sparse Web 基于稀疏Web可解释压缩表示的Web挖掘

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00097

Connor C. J. Hryhoruk, C. Leung

{"title":"Web Mining from Interpretable Compressed Representation of Sparse Web","authors":"Connor C. J. Hryhoruk, C. Leung","doi":"10.1109/WI-IAT55865.2022.00097","DOIUrl":"https://doi.org/10.1109/WI-IAT55865.2022.00097","url":null,"abstract":"Large datasets often contain computational constraints when under the non-trivial extraction of implicit, previously unknown, and potentially useful information. These datasets are everywhere, with a popular example being the World Wide Web. It acts as a mass data producer and consumer across multiple devices in a distributed fashion worldwide, containing massive amounts of data. The discovery of knowledge on the Web requires web intelligence solutions, which take advantages of data mining and data science. In the case of web mining, the mining of web structures provides commonly recommended web pages to web surfers by examining incoming and outgoing links on web pages. The overall size of the web is however sparse. Sparsity of the web comes from a high number of vertex nodes (i.e., web pages), with a small number of directed edges (i.e., incoming and outgoing hyperlinks between web pages). In this paper, we present a solution to the mining of frequent patterns from the sparse web. From the sparsity of the web, web pages are captured in compressed bitmaps that are then mined for discovery of these patterns. Our bitmap model ensures readability, flexibility, and allows for the capturing of important information across multiple 31-bit groups. The mining process is demonstrated on real-life web data to present its capacity of mining for interesting patterns from interpretable compressed representation of sparse data.","PeriodicalId":345445,"journal":{"name":"2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing the Computation of a Possibilistic Heuristic to Test OWL SubClassOf Axioms Against RDF Data 基于RDF数据的OWL公理子类测试的可能性启发式优化计算

2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Pub Date : 2022-11-01 DOI: 10.1109/WI-IAT55865.2022.00021

Rémi Felin, O. Corby, C. Faron-Zucker, A. Tettamanzi

引用次数: 0