Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)最新文献_第9页

Bundling and pricing for information brokerage: customer satisfaction as a means to profit optimization 信息经纪的捆绑与定价:以客户满意度为手段实现利润优化

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241191

D. Somefun, H. L. Poutré

引用次数: 7

Configuring Web services, using structuring and techniques from agent configuration 配置Web服务，使用来自代理配置的结构和技术

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241187

S. V. Splunter, M. Sabou, F. Brazier, Debbie Richards

引用次数: 22

The concept of attribute dimension and corresponding operations 属性维的概念和相应的操作

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241294

Yuan Lin, Zhanhuai Li

引用次数: 1

MobiShare: sharing context-dependent data & services from mobile sources MobiShare:从移动源共享依赖于上下文的数据和服务

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241203

Efstratios Valavanis, C. Ververidis, M. Vazirgiannis, George C. Polyzos, K. Nørvåg

{"title":"MobiShare: sharing context-dependent data & services from mobile sources","authors":"Efstratios Valavanis, C. Ververidis, M. Vazirgiannis, George C. Polyzos, K. Nørvåg","doi":"10.1109/WI.2003.1241203","DOIUrl":"https://doi.org/10.1109/WI.2003.1241203","url":null,"abstract":"The rapid advances in wireless communications technology and mobile computing have enabled personal mobile devices that we use in everyday life to become information and service providers by complementing or replacing fixed-location hosts connected to the wireline network. Such mobile resources is highly important for other moving users, creating significant opportunities for many interesting and novel applications. The MobiShare architecture provides the infrastructure for ubiquitous mobile access and mechanisms for publishing, discovering and accessing heterogeneous mobile resources in a large area, taking into account the context of both sources and requestors. Any wireless communication technology could be used between a device and the system. Furthermore, the use of XML-related languages and protocols for describing and exchanging metadata gives the system a uniform and easily adaptable interface, allowing a variety of devices to use it. The overall approach is data-centric and service-oriented, implying that all devices are treated as producers or requestors of data wrapped as information services.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121850358","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: 50

Research on modeling with dynamic Bayesian networks 动态贝叶斯网络建模研究

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241278

Fengzhan Tian, Hongwei Zhang, Yuchang Lu

引用次数: 3

Ubiquitous service interoperation through polyarchical middleware 通过多结构中间件进行无处不在的服务互操作

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241291

Mengjie Yu, A. Taleb-Bendiab, D. Reilly, W. Omar

引用次数: 8

Incremental personalized Web page mining utilizing self-organizing HCMAC neural network 基于自组织HCMAC神经网络的渐进式个性化网页挖掘

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241172

Chih-Ming Chen

{"title":"Incremental personalized Web page mining utilizing self-organizing HCMAC neural network","authors":"Chih-Ming Chen","doi":"10.1109/WI.2003.1241172","DOIUrl":"https://doi.org/10.1109/WI.2003.1241172","url":null,"abstract":"In recent years, information has grown rapidly, especially on the World Wide Web. Also volume of information found by search engines tends to be large, and these documents are not tailored to a user's actual needs and interests. Thus, to offer the personalized service that includes only user interested information become increasingly important. Web mining techniques have proven themselves as a very useful tool for mining information of interests on the Web. However, past pioneers' studies have indicated that the main challenges in Web mining are in terms of handling high-dimensional data, achieving incremental learning (or incremental mining), providing scalable mining and parallel and distributed mining algorithms. We present a novel self-organizing hierarchical CMAC (HCMAC) neural network composed of two-dimensional weighted grey CMACs (WGCMAC) capable of handling both higher dimensional classification problems and self-organizing memory structure according to the distribution of training patterns. Moreover, a learning algorithm that can learn incrementally from new added data without forgetting prior knowledge is proposed to train the self-organizing HCMAC neural network. It can be applied to incrementally learn user profiles from user feedback for identifying personalized Web pages. A benchmark dataset of Web pages ratings that contains four topics of user profiles is used to demonstrate the effectiveness of the proposed method. Experimental results show that the self-organizing HCMAC neural network has a good incrementally learning ability and can overcome the problem of enormous memory requirement in the conventional CMAC while it is applied to solve the higher dimensional classification problems. Furthermore, experiments also confirm that the self-organizing HCMAC neural network has a better forecasting ability to identify user interesting Web pages than other well-known classifiers do.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131519484","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: 23

Trust based knowledge outsourcing for semantic Web agents 基于信任的语义Web代理知识外包

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241219

Li Ding, Lina Zhou, Timothy W. Finin

{"title":"Trust based knowledge outsourcing for semantic Web agents","authors":"Li Ding, Lina Zhou, Timothy W. Finin","doi":"10.1109/WI.2003.1241219","DOIUrl":"https://doi.org/10.1109/WI.2003.1241219","url":null,"abstract":"The semantic Web enables intelligent agents to \"outsource\" knowledge, extending and enhancing their limited knowledge bases. An open question is how agents can efficiently and effectively access the vast knowledge on the inherently open and dynamic semantic Web. The problem is not that of finding a source for desired information, but deciding which among many possibly inconsistent sources is most reliable. We propose an approach to agent knowledge outsourcing inspired by the use trust in human society. Trust is a type of social knowledge and encodes evaluations about which agents can be taken as reliable sources of information or services. We focus on two important practical issues: learning trust and justifying trust. An agent can learn trust relationships by reasoning about its direct interactions with other agents and about public or private reputation information, i.e., the aggregate trust evaluations of other agents. We use the term trust justification to describe the process in which an agent integrates the beliefs of other agents, trust information, and its own beliefs to update its trust model. We describe the results of simulation experiments of the use and evolution of trust in multiagent systems. Our experiments demonstrate that the use of explicit trust knowledge can significantly improve knowledge outsourcing performance. We also describe a collaborative trust justification technique that focuses on reducing search complexity, handling inconsistent knowledge, and avoiding error propagation.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131552252","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: 67

A toolkit for creating personalized presentations 用于创建个性化演示文稿的工具包

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241264

D. Pacey, E. Dempster, M. H. Williams, A. Cawsey, D. Marwick, L. Mackinnon

引用次数: 4

Mining social network of conference participants from the Web 从网络中挖掘会议参与者的社会网络

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241192

Y. Matsuo, H. Tomobe, K. Hasida, M. Ishizuka

{"title":"Mining social network of conference participants from the Web","authors":"Y. Matsuo, H. Tomobe, K. Hasida, M. Ishizuka","doi":"10.1109/WI.2003.1241192","DOIUrl":"https://doi.org/10.1109/WI.2003.1241192","url":null,"abstract":"In a ubiquitous computing environment, it is desirable to provide a user with information depending on a user's situation, such as time, location, user behavior, and social context. At conventions, such as academic conferences and exhibitions, where participants must register in advance, the social context of participants can be extracted from the Web using their names and affiliations without asking the participants many questions. Here, we attempt to extract the social network of participants from the Web, where a node represents a participant and an edge represents the relationship of two participants. Each edge is added using the number of pages retrieved by a search engine which include both participants names. Moreover, each edge has a label such as \"coauthors\" and \"members of the same project\" by applying classification rules to the page content. We show an example of the extracted network and make a preliminary evaluation. This network can be used in many information services, such as finding an appropriate introducer or negotiator, and who one should talk to in order to efficiently expand his/her network.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115803005","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: 36