2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)最新文献_第4页

Fusion-Based Multimodal Detection of Hoaxes in Social Networks 基于融合的社交网络骗局多模态检测

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-86

Cédric Maigrot, V. Claveau, Ewa Kijak

引用次数: 3

Inverse Convolutional Neural Networks for Learning from Label Proportions 用于标签比例学习的逆卷积神经网络

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-21

Yong Shi, Jiabin Liu, Zhiquan Qi

引用次数: 4

Mental Workload Assessment in Smartphone Multitasking Users: A Feature Selection Approach using Physiological and Simulated Data 智能手机多任务用户的心理负荷评估:一种使用生理和模拟数据的特征选择方法

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-22

H. Lira, In-Young Ko, A. Molina

引用次数: 2

Concept Enhanced Content Representation for Linking Educational Resources 链接教育资源的概念增强内容表示

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-59

Khushboo Thaker, Peter Brusilovsky, Daqing He

{"title":"Concept Enhanced Content Representation for Linking Educational Resources","authors":"Khushboo Thaker, Peter Brusilovsky, Daqing He","doi":"10.1109/WI.2018.00-59","DOIUrl":"https://doi.org/10.1109/WI.2018.00-59","url":null,"abstract":"The education sector has been undergoing a welcoming change in recent years with the introduction of a wide variety of digital content openly available to students. Due to the volume of this new digital content, it is very difficult for learners to find the needed information at the right time. Digital textbooks, as well-curated domain knowledge sources, could provide a conceptual and physical platform that unites disparate educational resources as one entity. Educational resource linkage, with state-of-the-art techniques, are based on term-level and topic-level representations. However, term-level representations suffer from the term-mismatch problem and often, topics are too broad for linking to other educational resources. To address these challenges, we propose to link educational resources through concept-level representation. The proposed model generates concept embeddings by utilizing domain-specific educational content and external knowledge graph resources to achieve robust and effective concept-level representations. We conducted evaluations of the proposed models on multiple contents linking tasks, and the results demonstrate that concept-level representations perform better than the state-of-the-art representations in helping students to find more learning resources easily. This could increase both students' learning and satisfaction.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124341436","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

Towards Building a Human Perception Knowledge for Social Sensation Analysis 构建用于社会感觉分析的人类感知知识

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-15

Jun Lee, Chitipat Thabsuwan, Siripen Pongpaichet, Kyoung-Sook Kim

{"title":"Towards Building a Human Perception Knowledge for Social Sensation Analysis","authors":"Jun Lee, Chitipat Thabsuwan, Siripen Pongpaichet, Kyoung-Sook Kim","doi":"10.1109/WI.2018.00-15","DOIUrl":"https://doi.org/10.1109/WI.2018.00-15","url":null,"abstract":"With the development of social network services, various phenomena can be shared easily and rapidly through human natural language, including not only natural, but also social-cultural phenomena. Consequently, analyses of social media have appreciated in value for understanding human behaviors to grasp public interests or sentiments, as both the medium and outcome of human experiences. From the state of the art psychology and neuroscience, human behaviors, regarding both physical and linguistic aspects, are mostly dependent on sensory perceptions under the realm of the subconscious. Even though sensation is the most fundamental element to understand human behaviors, the rack of background resources make it hard to study the social sensation comparing with the sentimental or opinion mining. This paper focuses on building sensation knowledges to obtain useful human perceptual experiences in natural language expressions, as a requisite for the social sensation analysis. We try to approach the constructing lexicons as a sensation knowledge from two viewpoints, such as a deep learning and lexicon based methods. Then we classify social media text based on the lexicons with considering a part of speech as well as semantic meanings of each word. Finally, we identify which knowledge has a good performance to distinguish sensation expressions from social media data in terms of accuracy and and F-score.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117113387","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

Clustering in Networks with Multi-Modality Attributes 具有多模态属性的网络聚类

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-61

Tiantian He, Keith C. C. Chan, Libin Yang

{"title":"Clustering in Networks with Multi-Modality Attributes","authors":"Tiantian He, Keith C. C. Chan, Libin Yang","doi":"10.1109/WI.2018.00-61","DOIUrl":"https://doi.org/10.1109/WI.2018.00-61","url":null,"abstract":"Network clustering is one of the most significant tasks of network analytics. To discover network clusters, there have been many approaches proposed, utilizing network topology, or node attributes. However, there are no effective approaches that are able to discover clusters in the network with multiple modalities of attributes. In this paper, we propose a novel clustering model, called CNMMA, to discover network clusters using edge structure, and multi-modality attributes associated with vertices. Assuming edge structure, and node attributes are generated by corresponding low dimensional latent spaces (matrices), CNMMA can learn an optimal latent matrix representing the cluster membership for each vertex in the network. Besides, CNMMA makes use of an effective method to regulate the latent spaces w.r.t. edge structure and node attributes so that those vertices sharing similar edges and modality-wise attributes are more possible to be assigned with the same cluster labels. CNMMA has been tested with several real-world networks, which contain multiple modalities of node attributes, and has been compared with state-of-the-art approaches to network clustering. The experimental results show that CNMMA outperforms most approaches in most datasets. The clusters discovered by CNMMA are better matched with the ground truth.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"1965 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125693123","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: 4

Trusted Registration, Negotiation, and Service Evaluation in Multi-Agent Systems throughout the Blockchain Technology 区块链技术中多代理系统中的可信注册、协商和服务评估

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.0-107

D. Calvaresi, Alevtina Dubovitskaya, Diego Retaggi, A. Dragoni, M. Schumacher

{"title":"Trusted Registration, Negotiation, and Service Evaluation in Multi-Agent Systems throughout the Blockchain Technology","authors":"D. Calvaresi, Alevtina Dubovitskaya, Diego Retaggi, A. Dragoni, M. Schumacher","doi":"10.1109/WI.2018.0-107","DOIUrl":"https://doi.org/10.1109/WI.2018.0-107","url":null,"abstract":"Some recent trends in distributed intelligent systems rely extensively on agent-based approaches. The so-called Multi-Agent Systems (MAS) are taking over the management of sensitive data on behalf of their producers and users (e.g., medical records, financial investment, energy market). Therefore, trusted interactions are needed more than ever, while accountability and transparency among the agents seem crucial characteristics to be achieved. To do so, recent trends advocate the use of blockchain technologies (BCT) in MAS. The blockchain is a distributed ledger technology that can execute programmable transaction logic, and provides a shared, immutable, and transparent append-only register of all the actions happening in the network. Although a few theoretical approaches have already been proposed, the quest for such a system consolidating BCT and MAS to guarantee privacy, scalability, transparency, and efficiency continues. This paper presents a reconciling system including BCT within the dynamics of a MAS. Such a system aims at (i) building a solid ground for trusted interactions and (ii) enabling more characterizing feature-based and trustworthy ways of computing agent reputation. The system has been tested in four scenarios with different configurations (regular executions and involving down-agents or malicious behaviors). Finally, the paper summarizes and discusses the experience gained, argues about the strategic choice of binding MAS and BCT, and presents some future challenges.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"456 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796665","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: 21

WI 2018 Tutorials [2 abstracts] WI 2018教程[2个摘要]

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/wi.2018.0-115

Flavia Guiñazu

引用次数: 0

A Plagiarism Detection Engine for Images in Docode 基于Docode的图像抄袭检测引擎

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-78

S. Sepulveda, V. GasparPizarro, J. D. Velásquez

引用次数: 1

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) Pub Date : 2018-12-01 DOI: 10.1109/WI.2018.00-95

Hanh Nguyen, Yue Xu, Yuefeng Li

{"title":"A Semantic Similarity Based Topic Evaluation for Enhancing Information Filtering","authors":"Hanh Nguyen, Yue Xu, Yuefeng Li","doi":"10.1109/WI.2018.00-95","DOIUrl":"https://doi.org/10.1109/WI.2018.00-95","url":null,"abstract":"Topic Modelling has been applied in many successful applications in data mining, text mining, machine learning and information filtering. The limitation is that the quality of topics generated from modelled corpus are not always good because many topics contain intrusive and ambiguous words. This negative drawback would affect the performance of text based application systems based on topic models. Hence, topic evaluation to assess and to rank the topics is really important for the good quality topics before applying those topics to text based applications. In this study, we proposed an ontology-based topic evaluation method for enhancing information filtering, named as STRbTCM. This new model assesses the quality of topics by matching topic models with headings in Library Congress Subject Heading (LCSH) ontology. To evaluate the effectiveness of our proposed model, we compare the model with two existing topic evaluation methods applied to information filtering system. In addition, we also compare our proposed model to term-based model BM25 and two other models based on topics: TNG and LDA_words. Through extensive experiments, we find that our proposed model performed better than other baseline models according to four main evaluating measures.","PeriodicalId":405966,"journal":{"name":"2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115090306","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