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

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A real-time evolutionary algorithm for Web prediction Web预测的实时进化算法
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241185
Dario Bonino, Fulvio Corno, Giovanni Squillero
{"title":"A real-time evolutionary algorithm for Web prediction","authors":"Dario Bonino, Fulvio Corno, Giovanni Squillero","doi":"10.1109/WI.2003.1241185","DOIUrl":"https://doi.org/10.1109/WI.2003.1241185","url":null,"abstract":"As an increasing number of users access information on the World Wide Web, there is a opportunity to improve well known strategies for Web caching, prefetching, dynamic user modeling and dynamic site customization in order to obtain better subjective performance and satisfaction in Web surfing. We propose a new method to exploit user navigational path behavior to predict, in real-time, future requests. Predicting user next requests is useful not only for document caching/prefetching, it is also suitable for quick dynamic portal adaptation to user behavior. Real-time user adaptation prevents the use of statistical techniques on Web logs, and we propose the adoption of a predictive user model based on finite state machines together with an evolutionary algorithm that evolves a population of FSMs for achieving a good prediction rate.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"2 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":"122258731","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: 34
Incremental document clustering using cluster similarity histograms 使用聚类相似直方图的增量文档聚类
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241276
Khaled M. Hammouda, M. Kamel
{"title":"Incremental document clustering using cluster similarity histograms","authors":"Khaled M. Hammouda, M. Kamel","doi":"10.1109/WI.2003.1241276","DOIUrl":"https://doi.org/10.1109/WI.2003.1241276","url":null,"abstract":"Clustering of large collections of text documents is a key process in providing a higher level of knowledge about the underlying inherent classification of the documents. Web documents, in particular, are of great interest since managing, accessing, searching, and browsing large repositories of Web content requires efficient organization. Incremental clustering algorithms are always preferred to traditional clustering techniques, since they can be applied in a dynamic environment such as the Web. An incremental document clustering algorithm is introduced, which relies only on pair-wise document similarity information. Clusters are represented using a cluster similarity histogram, a concise statistical representation of the distribution of similarities within each cluster, which provides a measure of cohesiveness. The measure guides the incremental clustering process. Complexity analysis and experimental results are discussed and show that the algorithm requires less computational time than standard methods while achieving a comparable or better clustering quality.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"56 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121007148","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: 59
A new facial feature extraction method based on linear combination model 一种基于线性组合模型的人脸特征提取新方法
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241256
Yongli Hu, Baocai Yin, Dehui Kong
{"title":"A new facial feature extraction method based on linear combination model","authors":"Yongli Hu, Baocai Yin, Dehui Kong","doi":"10.1109/WI.2003.1241256","DOIUrl":"https://doi.org/10.1109/WI.2003.1241256","url":null,"abstract":"A new facial feature extraction method is proposed. Based on linear combination model, the method locates feature points in facial images precisely. The model uses the knowledge of prototypic faces to interpret novel faces. To get the knowledge, the prototypes are labeled manually on the feature points. Generally, the construction of the linear combination model depends on pixel-wise alignments of prototypes, and the alignments are computed by an optical flow algorithm or bootstrapping algorithm which is a full-scale optimization and not includes local information such as facial feature points. To combine local facial feature with the linear combination model, a restrained optical flow algorithm is proposed to compute the pixel-wise alignments. With the information of labeled feature points, the model matches the input facial images and extracts the feature points automatically. Implementing the feature extraction method on the MPI face database, the experimental results show that the method has good performance.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"24 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":"116527699","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: 10
A comparative study of Zernike moments 泽尼克矩的比较研究
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241255
T. Lin, Yun-Feng Chou
{"title":"A comparative study of Zernike moments","authors":"T. Lin, Yun-Feng Chou","doi":"10.1109/WI.2003.1241255","DOIUrl":"https://doi.org/10.1109/WI.2003.1241255","url":null,"abstract":"Effective image retrieval by content requires that visual image properties are used instead of textual labels to properly index pictorial data. Shape is one of the primary low-level image features. Many shape representations had been proposed. The Zernike moment descriptor is the most suitable for shape similar-based retrieval in terms of computation complexity, compact representation, robustness, and retrieval performance. We study the first 36 Zernike moments and find the dependence relations between them. A new compact representation is proposed to replace the old one. It is not only saving storage capacity but also reducing the execution time of index generation.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"71 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":"133699243","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: 31
Embedded data indexing for fast stream interception by Internet appliances 嵌入式数据索引用于互联网设备的快速流拦截
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241272
J. Khan, Yihua He
{"title":"Embedded data indexing for fast stream interception by Internet appliances","authors":"J. Khan, Yihua He","doi":"10.1109/WI.2003.1241272","DOIUrl":"https://doi.org/10.1109/WI.2003.1241272","url":null,"abstract":"Interception of a data stream is central to any intelligent and dynamic processing of Web information. It is perhaps as fundamental to Internet services' overall architecture as the design of disk scheduling to the conventional machine architecture. We discuss an IPv6 based indexing protocol that can facilitate random access into multilevel hierarchically encoded content streams and provide serious performance boost to Web content processing.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"28 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":"133880828","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
Web intelligence in information retrieval 信息检索中的网络智能
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241227
K. Curran, Cliona Murphy, Stephen Annesley
{"title":"Web intelligence in information retrieval","authors":"K. Curran, Cliona Murphy, Stephen Annesley","doi":"10.1109/WI.2003.1241227","DOIUrl":"https://doi.org/10.1109/WI.2003.1241227","url":null,"abstract":"Web Intelligence is a fascinating area in the very early stages of research and development. It combines the interaction of the human mind and artificial intelligence with networks and technology. How will the next generation Web mature? With the imminent growth of Web intelligence what expectations do users have? Users will expect more from the Web than for it to merely pass raw data between people via search engines. We attempt to define and summarise the concept of Web Intelligence, highlight the key elements of Web Intelligence, and explore the topic of Web information retrieval with particular focus on multimedia/information retrieval and intelligent agents.","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":"134441314","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: 19
Integrating ontological and linguistic knowledge for conceptual information extraction 整合本体论和语言学知识，用于概念信息提取
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241190
Roberto Basili, Michele Vindigni, Fabio Massimo Zanzotto
{"title":"Integrating ontological and linguistic knowledge for conceptual information extraction","authors":"Roberto Basili, Michele Vindigni, Fabio Massimo Zanzotto","doi":"10.1109/WI.2003.1241190","DOIUrl":"https://doi.org/10.1109/WI.2003.1241190","url":null,"abstract":"Text understanding makes strong assumptions about the conceptualisation of the underlying knowledge domain. This mediates between the accomplishment of the specific task at the one hand and the knowledge expressed in the target text fragments at the other. However, building domain conceptualisations from scratch is a very complex and time-consuming task. Traditionally, the reuse of available domain resources, although not constituting always the best, has been applied as an accurate and cost effective solution. Here, we investigate the possibility of exploiting sources of domain knowledge (e.g. a subject reference system) to build a linguistically motivated domain concept hierarchy. The limitation connected with the use of domain taxonomies as ontological resources will be firstly discussed in the specific light of IE, i.e. for supporting linguistic inference. We then define a method for integrating the taxonomical domain knowledge and a general-purpose lexical knowledge base, like WordNet. A case study, i.e. the integration of the MeSH, Medical Subject Headings, and WordNet, will be then presented as a proof of the effectiveness and accuracy of the overall approach.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"51 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":"133235398","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: 24
INTIMATE: a Web-based movie recommender using text categorization 一个基于网络的电影推荐，使用文本分类
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241277
Harry Mak, I. Koprinska, Josiah Poon
{"title":"INTIMATE: a Web-based movie recommender using text categorization","authors":"Harry Mak, I. Koprinska, Josiah Poon","doi":"10.1109/WI.2003.1241277","DOIUrl":"https://doi.org/10.1109/WI.2003.1241277","url":null,"abstract":"We present INTIMATE, a Web-based movie recommender that makes suggestions by using text categorization to learn from movie synopses. The performance of various feature representations, feature selectors, feature weighting mechanisms and classifiers is evaluated and discussed. INTIMATE was also compared with a feature-based movie recommender. The results show that the text-based approach outperforms the feature-based if the ratio of the number of user ratings to the vocabulary size is high.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"58 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":"133487006","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: 42
PageRank and Web communities 网页排名和网络社区
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241217
M. Bianchini, M. Gori, F. Scarselli
{"title":"PageRank and Web communities","authors":"M. Bianchini, M. Gori, F. Scarselli","doi":"10.1109/WI.2003.1241217","DOIUrl":"https://doi.org/10.1109/WI.2003.1241217","url":null,"abstract":"The definition of the ordering of the Web pages, returned on a given query, is a crucial topic, which gives rise to the notion of Web visibility. A fundamental contribution towards the conception of appropriate ordering criteria has been given by means of the introduction of PageRank, which takes into account only the hyper-linked structure of the Web, regardless of the content of the pages. We introduce a circuit analysis which allows us to understand the distribution of PageRank, and show some basic results for understanding the way it migrates amongst communities. In particular, we highlight some topological properties which suggest methods for the promotion of Web communities. These results confirm the importance and the effectiveness of PageRank for discovering relevant information but, at the same time, point out its vulnerability to spamming.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"301 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":"114582297","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: 14
Future view: Web navigation based on learning user's browsing patterns 未来展望:基于学习用户浏览模式的Web导航
Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003) Pub Date : 2003-10-13 DOI: 10.1109/WI.2003.1241261
N. Nagino, S. Yamada
{"title":"Future view: Web navigation based on learning user's browsing patterns","authors":"N. Nagino, S. Yamada","doi":"10.1109/WI.2003.1241261","DOIUrl":"https://doi.org/10.1109/WI.2003.1241261","url":null,"abstract":"We propose a future view system that assists user's usual Web browsing. The future view will prefetch Web pages based on user's browsing strategies and present them to a user in order to assist Web browsing. To learn user's browsing patterns, the future view uses two types of learning classifier systems: a content-based classifier system for contents change patterns and an action-based classifier system for user's action patterns. The results of learning are applied to crawling by Web robot, and gathered Web pages are presented to a user through a Web browser. We experimentally show effectiveness of navigation using the future view.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"1 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":"131149931","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
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