Companion Proceedings of the The Web Conference 2018最新文献

PROFILES & DATA: SEARCH International Workshop on Profiling and Searching Data on the Web Chairs' Welcome & Organization 概况和数据:搜索在概况和搜索数据的网络椅子的欢迎和组织国际研讨会

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3192316

Laura M. Koesten, Elena Demidova, V. Savenkov, J. Breslin, Óscar Corcho, S. Dietze, E. Simperl

{"title":"PROFILES & DATA: SEARCH International Workshop on Profiling and Searching Data on the Web Chairs' Welcome & Organization","authors":"Laura M. Koesten, Elena Demidova, V. Savenkov, J. Breslin, Óscar Corcho, S. Dietze, E. Simperl","doi":"10.1145/3184558.3192316","DOIUrl":"https://doi.org/10.1145/3184558.3192316","url":null,"abstract":"The web of data has seen tremendous growth recently. New forms of structured data have emerged in the form of web markup, such as schema.org and web tables. Exploiting these rich, heterogeneous and evolving data sources has become increasingly important for many different types of applications, including (federated) search, question answering and fact verification. The objective of the PROFILES & DATA:SEARCH Workshop is to bring together researchers and practitioners interested in the development of data search techniques, data profiling, and dataset retrieval on the web. This includes looking at the specifics of data-centric information seeking behaviours, understanding interaction challenges in data search on the web, and analysing the cognitive processes involved in the consumption of structured data by users. At the same time, we aim to discuss technologies addressing data search including semantics, information retrieval for web data (ranking algorithms and indexing), in particular in the context of decentralised and distributed systems, such as the web. We are interested in approaches to analyse, characterise and discover data sources. We want to facilitate a discussion around data search across formats and domain-specific applications. The PROFILES & DATA:SEARCH Workshop includes papers on a variety of topics such as profiling and data search, including querying and searching for structured data, profiling applications for cultural heritage, as well as data quality improvements through schema inference, content analysis and communities.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114652200","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

Detection of Strength and Causal Agents of Stress and Relaxation for Tweets 推文压力和放松的强度和因果因素检测

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186572

Reshmi Gopalakrishna Pillai

引用次数: 2

Investigating Similarity of Nodes' Attributes in Topological Based Communities. 基于拓扑的社区中节点属性相似性的研究。

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3191564

Rajesh Sharma, D. Montesi

引用次数: 6

Combining Neural, Statistical and External Features for Fake News Stance Identification 结合神经、统计和外部特征的假新闻立场识别

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3191577

Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, B. Raman, A. Mittal

{"title":"Combining Neural, Statistical and External Features for Fake News Stance Identification","authors":"Gaurav Bhatt, Aman Sharma, Shivam Sharma, Ankush Nagpal, B. Raman, A. Mittal","doi":"10.1145/3184558.3191577","DOIUrl":"https://doi.org/10.1145/3184558.3191577","url":null,"abstract":"Identifying the veracity of a news article is an interesting problem while automating this process can be a challenging task. Detection of a news article as fake is still an open question as it is contingent on many factors which the current state-of-the-art models fail to incorporate. In this paper, we explore a subtask to fake news identification, and that is stance detection. Given a news article, the task is to determine the relevance of the body and its claim. We present a novel idea that combines the neural, statistical and external features to provide an efficient solution to this problem. We compute the neural embedding from the deep recurrent model, statistical features from the weighted n-gram bag-of-words model and handcrafted external features with the help of feature engineering heuristics. Finally, using deep neural layer all the features are combined, thereby classifying the headline-body news pair as agree, disagree, discuss, or unrelated. Through extensive experiments, we find that the proposed model outperforms all the state-of-the-art techniques including the submissions to the fake news challenge.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127361484","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: 82

Educational Migration from Russia to the Nordic Countries, China and the Middle East. Social Media Data 从俄罗斯到北欧国家、中国和中东的教育移民。社交媒体数据

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186923

Daniel Alexandrov, Viktor Karepin, Ilya Musabirov, D. Chuprina

引用次数: 3

An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data 基于视图数据的贝叶斯个性化排序改进采样器

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186905

Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin

引用次数: 70

Demo Track Chairs' Welcome & Organization 演示轨道主席的欢迎和组织

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3192297

Paul T. Groth, A. Gyrard

{"title":"Demo Track Chairs' Welcome & Organization","authors":"Paul T. Groth, A. Gyrard","doi":"10.1145/3184558.3192297","DOIUrl":"https://doi.org/10.1145/3184558.3192297","url":null,"abstract":"The Demo Track is one of the most exciting parts of any Web Conference. It allows researchers and practitioners to demonstrate new systems in an engaging and hands-on manner to the community. The Web has been driven forward by building systems and technology. The demo track is a venue that encourages this sort of important type of result This year the track received 71 submissions of those 30 were accepted for a 42% accept rate. We had a comprehensive review procedure that looked at a number of dimensions including the novelty of the demo, its fit with the conference, its research content, and its potential for audience engagement. We were pleased by the number of submissions that included links to online demonstrations and/or videos. This gave reviewers additional information about how the demo would be presented. Overall, we had 232 reviews across all submissions. Many of the reviews provided not only a their expert judgement but ways in which the submissions could be improved. It is often difficult judging demonstrations as there are multiple factors to be taken into account. We want to thank the entire committee for taking the time to support the track. The resulting set of selected demos reflects the wide-variety of technology and research interests impacting the wide. Demonstrations cover topics such as using data on the web, the integration of the web and the physical world, knowledge graphs, search engines, security and privacy, and dealing with multimedia data. We believe that these demos provide an exciting taste of the future of the Web.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125521226","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

The BIG Web Track Chairs' Welcome & Organization 大网络跟踪主席的欢迎和组织

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3192292

E. Gabrilovich, Kira Radinsky, Kuansan Wang

引用次数: 0

An Empirical Study of the Framework Impact on the Security of JavaScript Web Applications 框架对JavaScript Web应用安全性影响的实证研究

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3188736

Ksenia Peguero, N. Zhang, Xiuzhen Cheng

{"title":"An Empirical Study of the Framework Impact on the Security of JavaScript Web Applications","authors":"Ksenia Peguero, N. Zhang, Xiuzhen Cheng","doi":"10.1145/3184558.3188736","DOIUrl":"https://doi.org/10.1145/3184558.3188736","url":null,"abstract":"textitBackground: JavaScript frameworks are widely used to create client-side and server-side parts of contemporary web applications. Vulnerabilities like cross-site scripting introduce significant risks in web applications. textitAim: The goal of our study is to understand how the security features of a framework impact the security of the applications written using that framework. textitMethod: In this paper, we present four locations in an application, relative to the framework being used, where a mitigation can be applied. We perform an empirical study of JavaScript applications that use the three most common template engines: Jade/Pug, EJS, and Angular. Using automated and manual analysis of each group of applications, we identify the number of projects vulnerable to cross-site scripting, and the number of vulnerabilities in each project, based on the framework used. textitResults: We analyze the results to compare the number of vulnerable projects to the mitigation locations used in each framework and perform statistical analysis of confounding variables. textitConclusions: The location of the mitigation impacts the application's security posture, with mitigations placed within the framework resulting in more secure applications.","PeriodicalId":235572,"journal":{"name":"Companion Proceedings of the The Web Conference 2018","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115580666","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: 12

Post Purchase Search Engine Marketing 购后搜索引擎营销

Companion Proceedings of the The Web Conference 2018 Pub Date : 2018-04-23 DOI: 10.1145/3184558.3186583

Qianyun Zhang, Shawndra Hill, David M. Rothschild

引用次数: 3