2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology最新文献_第9页

Parallel Simulation of NEPs on Clusters 集群上nep的并行仿真

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.131

C. Navarrete, M. D. L. Cruz, E. Anguiano, A. Ortega, J. Rojas

引用次数: 13

Agile Plant Management Using Agents and Mobile Devices: Enhancing Collaboration and Information Integration in Large-Scale 使用代理和移动设备的敏捷工厂管理:增强大规模的协作和信息集成

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.257

Benito Mendoza, Peng Xu, Qiangguo Ren, Li Bai

引用次数: 2

Towards an Understanding of the Value of Cooperation in Uncertain World 对不确定世界中合作价值的理解

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.244

Yonghong Wang, K. Sycara, P. Scerri

引用次数: 5

Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data 半滴:新兴语义数据的社会化语义标记方法

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.51

Diego Torres, A. Díaz, H. Skaf-Molli, P. Molli

引用次数: 20

Novel Approach for Tagging of Discourse Segments in Help-Desk E-Mails 服务台电子邮件语段标注的新方法

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.71

Suman Yelati, R. Sangal

引用次数: 9

An Architecture for Bootstrapping Lexical Semantics and Grammatical Structures 一种引导词汇语义和语法结构的体系结构

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.188

T. Armstrong, T. Oates

引用次数: 0

Scribee Experimentation - Early Statistics on Email Conversations Scribee实验-电子邮件对话的早期统计

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.48

Vincent Verdot, B. Christophe, V. Toubiana, Mathieu Beauvais

引用次数: 6

Constraining Self-Interested Agents to Guarantee Pareto Optimality in Multiagent Coalition Formation Problem 多智能体联盟形成问题中约束自利益主体保证帕累托最优

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.179

T. Génin, S. Aknine

引用次数: 4

Combining the Best of Two Worlds: NLP and IR for Intranet Search 结合两个最好的世界:内部网搜索的NLP和IR

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.187

Suma Adindla, Udo Kruschwitz

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引用次数: 4

Extracting Named Entities at Web Scale for Competitive Intelligence 基于竞争情报的网络规模命名实体提取

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI: 10.1109/WI-IAT.2011.284

François Pouilloux

{"title":"Extracting Named Entities at Web Scale for Competitive Intelligence","authors":"François Pouilloux","doi":"10.1109/WI-IAT.2011.284","DOIUrl":"https://doi.org/10.1109/WI-IAT.2011.284","url":null,"abstract":"Businesses of all sizes have now realized that the Web is an invaluable resource for competitive intelligence, and consequently business decision making. But many have trouble collecting targeted & useful information, and are often further overwhelmed by the time required for analysis & monitoring. On another hand, text mining techniques have become widely used for information analysis in the scientific community in general, and are now ubiquitous in most Web Intelligence fields. With the availability of services such as Google Prediction API, or mature open source software such as GATE, RapidMiner or NLTK, one can expect a much wider adoption of text mining and associated machine learning techniques by expert developers. But how can these techniques benefit to the daily life of a wider business audience? As competitive intelligence is often focused on products, people, customers and competitors, there is an added value for systems providing analytics on these entities, whose recognition is fundamental to text mining and semantic analysis, and consequently is still under active scientific investigation. In this talk we will tour some of the specific requirements and options for building an efficient Web based competitive intelligence system with named entity analytics. We will see how some savvy simplifications can help to overcome common issues such as Web scale and Web content noise, and finally deliver acceptable usability and value for non-specialists, business users.","PeriodicalId":128421,"journal":{"name":"2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology","volume":"261 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":"132256198","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