2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology最新文献_第8页

Predicting Researchers' Future Activities Using Visualization System for Co-authorship Networks 利用可视化系统预测研究人员的未来活动

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.96

Takeshi Kurosawa, Y. Takama

{"title":"Predicting Researchers' Future Activities Using Visualization System for Co-authorship Networks","authors":"Takeshi Kurosawa, Y. Takama","doi":"10.1109/WI-IAT.2011.96","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.96","url":null,"abstract":"This paper proposes a visualization system for getting insight into future research activities from co-authorship networks. A bibliographic network such as a co-authorship network and a citation network is important information for researchers when doing a research survey. In particular, there are many requests on research survey that relate with researchers' future activities, such as identification of remarkable of researchers including growing researchers and supervisors. Although a citation network has received many attentions from researchers, it is not suitable for such surveys because it reflects researchers' past activities. Since collaboration of researchers is essential for researchers' activities, co-authorship network is suitable for predicting future activities. In order to get insights into future research activities by discriminating growing research areas from grown-up areas, the proposed visualization system provides the function for identifying research areas and that for identifying time variation of both network structure and keyword distribution. As a basis for getting insights into future research activities, this paper focuses on the task of discriminating growing researchers from supervisors. The effectiveness of the proposed system is evaluated through the detailed analysis of two participants' analyzing process of InfoVis 2004 Contest dataset.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123006008","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: 5

Discovering User Interest on Twitter with a Modified Author-Topic Model 使用修改的作者-主题模型发现Twitter上的用户兴趣

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.47

Zhiheng Xu, Rong Lu, Liang Xiang, Qing Yang

引用次数: 112

Towards Domain-Independent Conflict Resolution Tools 面向领域独立的冲突解决工具

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.84

Davide Carneiro, P. Novais, J. Neves

引用次数: 3

Evaluation Criteria Ontology Modularization Tools 评价标准本体模块化工具

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.107

Sunju Oh, H. Yeom

引用次数: 3

Explanation and Coordination in Human-Agent Teams: A Study in the BW4T Testbed 人- agent团队中的解释与协调:基于BW4T试验台的研究

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.83

M. Harbers, J. Bradshaw, Matt Johnson, P. Feltovich, K. Bosch, J. Meyer

引用次数: 12

A Decentralized and Robust Approach to Estimating a Probabilistic Mixture Model for Structuring Distributed Data 构造分布式数据的概率混合模型的分散鲁棒估计方法

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.46

Ali El Attar, A. Pigeau, Marc Gelgon

引用次数: 2

Emotion Modeling for Intelligent Agents - Towards a Unifying Framework 面向智能代理的情感建模——迈向统一框架

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.155

T. Dang, G. Hutzler, P. Hoppenot

引用次数: 9

Towards Semantics-Based Instantiation of Services 面向基于语义的服务实例化

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.211

F. Lécué

{"title":"Towards Semantics-Based Instantiation of Services","authors":"F. Lécué","doi":"10.1109/WI-IAT.2011.211","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.211","url":null,"abstract":"Nowadays web users have clearly expressed their wishes to receive and interact with personalized services directly. However, existing approaches, largely syntactic content-based, fail to provide robust, accurate and useful personalized services to its users. Towards such an issue, the semantic web provides technologies to annotate and match services' descriptions with users' features, interests and preferences, thus allowing for more efficient access to services and more generally information. The aim of our work, part of service personalization, is on automated instantiation of services which is crucial for advanced usability i.e., how to prepare and present services ready to be executed while limiting useless interactions with users? To this end, we exploit Description Logics reasoning through semantic matching to (i) identify useful parts of a user profile that satisfy services requirements (i.e., input parameters) and (ii) compute the description required by a service to be executed but not provided by the user profile. Our approach, part of the EC-funded project SOA4All, was evaluated on its applicability in real world scenarios with end-users.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124373240","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: 2

Comparisons Instead of Ratings: Towards More Stable Preferences 比较而不是评级:走向更稳定的偏好

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.13

Nicolas Jones, A. Brun, A. Boyer

引用次数: 44

Comparison of Model-Based Learning Methods for Feature-Level Opinion Mining 基于模型的特征级意见挖掘学习方法比较

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.64

Luole Qi, Li Chen

{"title":"Comparison of Model-Based Learning Methods for Feature-Level Opinion Mining","authors":"Luole Qi, Li Chen","doi":"10.1109/WI-IAT.2011.64","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.64","url":null,"abstract":"The tasks of feature-level opinion mining usually include the extraction of product entities from product reviews, the identification of opinion words that are associated with the entities, and the determining of these opinions' polarities (e.g., positive, negative, or neutral). In recent years, several approaches have been proposed such as rule-based and statistical methods on this subject, but few attentions have been paid to applying more discriminative learning models to achieve the goal. On the other hand, little work has evaluated their algorithms' performance for identifying intensifiers, entity phrases and infrequent entities. In this paper, we in particular adopt the Conditional Random Fields (CRFs) model to perform the opinion mining tasks. Relative to related approaches, we have not only highlighted the algorithm's ability in mining intensifiers, phrases and infrequent entities, but also integrated more elements in the model so as to optimize its training and decoding process. Our method was compared to the lexicalized Hidden Markov Model (L-HMMs) based opinion mining method in the experiment, which proves its significantly better accuracy from several aspects.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123646209","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