International Conference on Web Information Systems and Technologies最新文献_第3页

Model-based Integration of Unstructured Web Data Sources using Graph Representation of Document Contents 使用文档内容的图形表示的基于模型的非结构化Web数据源集成

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008350103260333

Radek Burget

引用次数: 1

A Web-based Model-driven Platform for Web Augmentation 一个基于Web的模型驱动的Web增强平台

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008559304770486

Matías Urbieta, Franco Mahl, G. Rossi, G. Bosetti

引用次数: 0

Power Plants Failure Reports Analysis for Predictive Maintenance 电厂故障报告分析的预测性维护

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008388204040410

V. Carchiolo, A. Longheu, V. D. Martino, N. Consoli

引用次数: 9

CATI: An Active Learning System for Event Detection on Mibroblogs' Large Datasets 基于微博大数据集的事件检测主动学习系统

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008355301510160

G. Bosetti, Elöd Egyed-Zsigmond, L. Ono

{"title":"CATI: An Active Learning System for Event Detection on Mibroblogs' Large Datasets","authors":"G. Bosetti, Elöd Egyed-Zsigmond, L. Ono","doi":"10.5220/0008355301510160","DOIUrl":"https://doi.org/10.5220/0008355301510160","url":null,"abstract":"Today, there are plenty of tools and techniques to perform text- or image-based classification of large datasets, targeting different levels of user expertise and abstraction. Specialists usually collaborate in projects by creating ground truth datasets and do not always have deep knowledge in Information Retrieval. This article presents a full platform for assisted binary classification of very large textual and text and image composed documents. Our goal is to enable human users to classify collections of several hundred thousand documents in an assisted way, within a humanly acceptable number of clicks. We propose a graphical user interface, based on several classification assistants: text- and image-based event detection, Active Learning (AL), search engine and rich visual metaphors to visualize the results. We also propose a novel query strategy in the context of Active Learning, considering the top unlabeled bi-grams and duplicated (e.g. re-tweeted) content in the target corpus to classify. These contributions are supported not only by a tool whose code is freely accessible but also by an evaluation of the impact of using the aforementioned methods on the number of clicks needed to reach a stable level of accuracy.","PeriodicalId":406179,"journal":{"name":"International Conference on Web Information Systems and Technologies","volume":"85 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127433200","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: 3

A Domain Specific Language for Web-based GIS 基于web的GIS领域专用语言

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008559104620469

S. Alvarado, Alejandro Cortiñas, M. R. Luaces, Oscar Pedreira, Á. Places

引用次数: 0

Microblog Sentiment Prediction based on User Past Content 基于用户过去内容的微博情感预测

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008073102500256

Yassin Belhareth, C. Latiri

{"title":"Microblog Sentiment Prediction based on User Past Content","authors":"Yassin Belhareth, C. Latiri","doi":"10.5220/0008073102500256","DOIUrl":"https://doi.org/10.5220/0008073102500256","url":null,"abstract":"Analyzing massive, noisy and short microblogs is a very challenging task where traditional sentiment analysis and classification methods are not easily applicable due to inherent characteristics such social media content. Sentiment analysis, also known as opinion mining, is a mechanism for understanding the natural disposition that people possess towards a specific topic. Therefore, it is very important to consider the user context that usually indicates that microblogs posted by the same person tend to have the same sentiment label. One of the main research issue is how to predict twitter sentiment as regards a topic on social media? In this paper, we propose a sentiment mining approach based on sentiment analysis and supervised machine learning principles to the tweets extracted from Twitter. The originality of the suggested approach is that classification does not rely on tweet text to detect polarity, but it depends on users’ past text content. Experimental validation is conducted on a tweet corpus taken from data of SemEval 2016. These tweets talk about several topics, and are annotated in advance at the level of sentiment polarity. We have collected the past tweets of each author of the collection tweets. As an initial experiment in the prediction of user sentiment on a topic, based on his past, the results obtained seem acceptable, and could be improved in future work.","PeriodicalId":406179,"journal":{"name":"International Conference on Web Information Systems and Technologies","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133956202","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

Systematic Development of ERP Modules using a Model-Driven Strategy Focusing on the Users 基于以用户为中心的模型驱动策略的ERP模块系统开发

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008516204890492

M. Á. Olivero, L. Morales-Trujillo, Francisco José Domínguez Mayo, M. Risoto

{"title":"Systematic Development of ERP Modules using a Model-Driven Strategy Focusing on the Users","authors":"M. Á. Olivero, L. Morales-Trujillo, Francisco José Domínguez Mayo, M. Risoto","doi":"10.5220/0008516204890492","DOIUrl":"https://doi.org/10.5220/0008516204890492","url":null,"abstract":"ERP systems are composed of different functional modules on which each one addresses a different business area. Developments on these modules are managed independently on each one, which allow to handle and address the management of many related information requirements. In this context the startup G7Innovation works for its product iMEDEA. In this study we have combined two methodologies, Design Sprint and NDT 4.0; and systematized the development of ERP system modules. This combination allows you to use Design Sprint to generate and validate prototyping, and NDT 4.0 to do the study, analysis, and design of the software to be developed. In addition, according to the specifications defined in NDT, the code generation of the ERP module can be automated. This proposal has been validated in a case study in collaboration with the startup G7Innovation, where we have applied both methodologies on Odoo, an open source ERP system based in Python language. Thanks to the use of these two methodologies we have produced a module related to the needs of the clinic by reducing costs, times and human failures.","PeriodicalId":406179,"journal":{"name":"International Conference on Web Information Systems and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133726601","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

Self-sovereign Management of Privacy Consensus using Blockchain 基于区块链的隐私共识自主管理

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008493804260431

F. Buccafurri, V. D. Angelis

引用次数: 0

Evaluating Open Source Project Management Tools using OSSPal Methodology 使用OSSPal方法评估开源项目管理工具

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008351003430350

Antonio Oliveira, Jorge Bernardino

引用次数: 0

Consumers' Cognitive, Emotional and Behavioral Responses towards Background Music: An EEG Study 消费者对背景音乐的认知、情绪和行为反应:脑电图研究

International Conference on Web Information Systems and Technologies Pub Date : 2019-09-18 DOI: 10.5220/0008346603140318

Athanasios Gkaintatzis, R. Lubbe, K. Karantinou, Efthymios Constantinides

{"title":"Consumers' Cognitive, Emotional and Behavioral Responses towards Background Music: An EEG Study","authors":"Athanasios Gkaintatzis, R. Lubbe, K. Karantinou, Efthymios Constantinides","doi":"10.5220/0008346603140318","DOIUrl":"https://doi.org/10.5220/0008346603140318","url":null,"abstract":"The physical environment affects individuals emotionally, behaviorally and cognitively. Servicescapes or atmospherics studies the effect of environmental stimulation to consumers. Environmental stimuli affect consumers’ attention and cause them emotions such as pleasure and arousal; those emotional responses affect in turn consumers’ behavioral responses such us approach and avoidance tendencies towards the environment. Hence, the level of arousal-nonarousal and the pleasure-displeasure experienced by a consumer along with other intervening variables such as momentary mood and stimulus screening ability will determine his/her approach-avoidance responses towards the environmental stimuli. The paper studies atmospherics with neuromarketing and conventional marketing research methods: Specifically, using electroencephalography (EEG) and surveys, it focuses on the effect of background music on Consumer’s arousal, pleasure, attention and approach/avoidance tendencies. The results are expected to have significant academic relevance both for the servicescapes / atmospherics and the neuromarketing / consumer neuroscience research streams of literature and also managerial implications.","PeriodicalId":406179,"journal":{"name":"International Conference on Web Information Systems and Technologies","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129764786","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: 6