Web and hypermedia systems

M. Cannataro
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To face these problems, in the last years the concepts of User Modeling, Domain Modeling and Hypermedia Design have come together in the Adaptive Hypermedia System (AHS) research theme. Recently, international conferences (Adaptive Hypermedia and Adaptive Webbased Systems, Conceptual Modeling, User Modeling, Hypertext and Hypermedia) and workshops (Adaptive Hypertext and Hypermedia, Web Dynamics) have been held, and new journals (User Modeling and User-Adapted Interaction, The New Review of Hypermedia and Multimedia) appeared. More information can be found at the Adaptive Hypertext & Hypermedia web site (http://wwwis.win.tue.nl/ah/). This Special Session focuses on the use of adaptive techniques, algorithms and tools, in application areas including data management, processing, transmission and querying/searching of multimedia contents. The program of the session includes nine contributed papers, spanning major aspects of web-based hypermedia systems, from AHS, to adaptive search engines, query languages and tools. Adaptive Hypermedia Systems. Adapting information presentation and retrieval through user modeling, by C. Makris, A. Tsakalidis and B. Vassiliadis, describes an interesting architectural framework for intelligent, adaptive and personalized browsing, where the adaptation process is based on co-operative intelligent agents. An interesting algorithm for the scoring of authoritative pages is also presented. FlexXML: engineering a more flexible and adaptive web, by A. Kaplan and J. Lunn, presents a system that allows the delivery of web contents for different user's preferences and browser environment. The proposed approach allows facing different device/bandwidth environments without requiring changes to the user environment. A probabilistic adaptive hypermedia system, by M. Cannataro, A. Cuzzocrea and A. Pugliese, presents an Adaptive Hypermedia System which use a probabilistic approach for User and Application Domain modeling. The adaptation process addresses three different aspects: technology (network and user’s terminal), external environment (location, language, etc.) and user’s behavior (browsing activity). Search Engines. Searching and surfing the web using a semi-adaptive meta-engine, by A. Castellucci, G. Ianni, and D. Vasile, presents an interesting combination of user-adaptivity with spider-based meta-searching techniques. The use of a non-Bayesian clustering method avoids the need of classifying large sets of documents. A query language for user-defined web restructuring, by D. Montesi, A. Trombetta, and P. A. Dearnley, introduces a fuzzy query language for querying and restructuring information extracted from web sources. The language permits to capture the uncertainty presents in both queries (that may contain weighted conditions about the document relevance w.r.t. some keywords) and data (typically provided by search engines). Monitoring web information changes, by S. Flesca, F. Furfaro and E. Masciari, describes an interesting approach to the problem of monitoring changes in web pages. This approach is useful in adaptive systems whose presentations could depend by external web pages. Developing an adaptive search engine for e-commerce using a web mining approach, by C, Lee and H. Yang, presents an approach based on a SOM neural network for the implementation of a web search engine. Tools. Working documents automatic generation using an adaptive editor, by F. Ferri et al., presents an approach for the creation of HTML documents, starting from the shapes and semantics of component parts. It could be used as an editor for adaptive hypermedia. Data mining for intelligent web caching, by F. Bonchi et al., describes an intelligent web caching architecture capable of adapting its behavior on the basis of the access patterns of the clients. Web caching is improved by using classification and rule association techniques. The system could enhance performance of AHSs.","PeriodicalId":318295,"journal":{"name":"Proceedings International Conference on Information Technology: Coding and Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Information Technology: Coding and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2001.918828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Web-based hypermedia systems are becoming increasingly popular as tools for user-driven access to information and services. The design of a web-based hypermedia should take into account the different classes of users that are more and more heterogeneous due to world-wide deployment, different interests and social conditions. Other important sources of heterogeneity are: the kind of user terminal (standard PC browser, palmtop, wireless device, etc), the available network bandwidth and latency (wired vs wireless networks), the desired "resolution" to observe contents, etc. Thus a web system should be able to adapt itself to different user requirements and environment constraints. To face these problems, in the last years the concepts of User Modeling, Domain Modeling and Hypermedia Design have come together in the Adaptive Hypermedia System (AHS) research theme. Recently, international conferences (Adaptive Hypermedia and Adaptive Webbased Systems, Conceptual Modeling, User Modeling, Hypertext and Hypermedia) and workshops (Adaptive Hypertext and Hypermedia, Web Dynamics) have been held, and new journals (User Modeling and User-Adapted Interaction, The New Review of Hypermedia and Multimedia) appeared. More information can be found at the Adaptive Hypertext & Hypermedia web site (http://wwwis.win.tue.nl/ah/). This Special Session focuses on the use of adaptive techniques, algorithms and tools, in application areas including data management, processing, transmission and querying/searching of multimedia contents. The program of the session includes nine contributed papers, spanning major aspects of web-based hypermedia systems, from AHS, to adaptive search engines, query languages and tools. Adaptive Hypermedia Systems. Adapting information presentation and retrieval through user modeling, by C. Makris, A. Tsakalidis and B. Vassiliadis, describes an interesting architectural framework for intelligent, adaptive and personalized browsing, where the adaptation process is based on co-operative intelligent agents. An interesting algorithm for the scoring of authoritative pages is also presented. FlexXML: engineering a more flexible and adaptive web, by A. Kaplan and J. Lunn, presents a system that allows the delivery of web contents for different user's preferences and browser environment. The proposed approach allows facing different device/bandwidth environments without requiring changes to the user environment. A probabilistic adaptive hypermedia system, by M. Cannataro, A. Cuzzocrea and A. Pugliese, presents an Adaptive Hypermedia System which use a probabilistic approach for User and Application Domain modeling. The adaptation process addresses three different aspects: technology (network and user’s terminal), external environment (location, language, etc.) and user’s behavior (browsing activity). Search Engines. Searching and surfing the web using a semi-adaptive meta-engine, by A. Castellucci, G. Ianni, and D. Vasile, presents an interesting combination of user-adaptivity with spider-based meta-searching techniques. The use of a non-Bayesian clustering method avoids the need of classifying large sets of documents. A query language for user-defined web restructuring, by D. Montesi, A. Trombetta, and P. A. Dearnley, introduces a fuzzy query language for querying and restructuring information extracted from web sources. The language permits to capture the uncertainty presents in both queries (that may contain weighted conditions about the document relevance w.r.t. some keywords) and data (typically provided by search engines). Monitoring web information changes, by S. Flesca, F. Furfaro and E. Masciari, describes an interesting approach to the problem of monitoring changes in web pages. This approach is useful in adaptive systems whose presentations could depend by external web pages. Developing an adaptive search engine for e-commerce using a web mining approach, by C, Lee and H. Yang, presents an approach based on a SOM neural network for the implementation of a web search engine. Tools. Working documents automatic generation using an adaptive editor, by F. Ferri et al., presents an approach for the creation of HTML documents, starting from the shapes and semantics of component parts. It could be used as an editor for adaptive hypermedia. Data mining for intelligent web caching, by F. Bonchi et al., describes an intelligent web caching architecture capable of adapting its behavior on the basis of the access patterns of the clients. Web caching is improved by using classification and rule association techniques. The system could enhance performance of AHSs.
网络和超媒体系统
基于web的超媒体系统作为用户驱动访问信息和服务的工具正变得越来越流行。基于web的超媒体的设计应该考虑到由于世界范围的部署、不同的兴趣和社会条件而越来越异构的不同类别的用户。其他重要的异构来源是:用户终端的类型(标准PC浏览器、掌上电脑、无线设备等)、可用的网络带宽和延迟(有线与无线网络)、观察内容所需的“分辨率”等。因此,web系统应该能够适应不同的用户需求和环境约束。为了解决这些问题,近年来,用户建模、领域建模和超媒体设计的概念在自适应超媒体系统(AHS)的研究主题中得到了融合。近年来,国际会议(自适应超媒体与自适应网络系统、概念建模、用户建模、超文本与超媒体)和研讨会(自适应超文本与超媒体、网络动力学)相继召开,新期刊(用户建模与用户自适应交互、超媒体与多媒体新评论)相继问世。更多信息可以在自适应超文本和超媒体网站(http://wwwis.win.tue.nl/ah/)上找到。本次特别会议重点讨论自适应技术、算法和工具在多媒体内容的数据管理、处理、传输和查询/搜索等应用领域的应用。会议计划包括九篇贡献论文,涵盖基于web的超媒体系统的主要方面,从AHS到自适应搜索引擎、查询语言和工具。自适应超媒体系统。C. Makris、A. Tsakalidis和B. Vassiliadis通过用户建模调整信息表示和检索,描述了一个有趣的智能、自适应和个性化浏览的架构框架,其中适应过程基于合作的智能代理。本文还提出了一种有趣的权威页面评分算法。由a . Kaplan和J. Lunn撰写的FlexXML:设计一个更灵活和适应性更强的web,提出了一个允许根据不同用户偏好和浏览器环境交付web内容的系统。提出的方法允许面对不同的设备/带宽环境,而不需要改变用户环境。M. Cannataro, A. Cuzzocrea和A. Pugliese提出了一个概率自适应超媒体系统,该系统使用概率方法对用户和应用程序域进行建模。适应过程涉及三个不同的方面:技术(网络和用户终端)、外部环境(位置、语言等)和用户行为(浏览活动)。搜索引擎。使用由a . Castellucci、G. Ianni和D. Vasile设计的半自适应元引擎搜索和浏览网页,展示了用户自适应与基于蜘蛛的元搜索技术的有趣结合。使用非贝叶斯聚类方法避免了对大量文档进行分类的需要。D. Montesi、A. Trombetta和P. A. Dearnley提出了一种用于自定义web重构的查询语言,它引入了一种用于查询和重构web资源中提取的信息的模糊查询语言。该语言允许捕获查询(可能包含关于文档相关性的加权条件,而不是一些关键字)和数据(通常由搜索引擎提供)中出现的不确定性。S. Flesca, F. Furfaro和E. Masciari的《监测网页信息变化》描述了一种有趣的方法来监测网页的变化。这种方法在自适应系统中非常有用,这些系统的表现可能依赖于外部网页。C、Lee和H. Yang使用web挖掘方法开发电子商务自适应搜索引擎,提出了一种基于SOM神经网络实现web搜索引擎的方法。工具。F. Ferri等人使用自适应编辑器自动生成工作文档,提出了一种创建HTML文档的方法,从组件部件的形状和语义开始。它可以用作自适应超媒体的编辑器。Bonchi等人的智能web缓存数据挖掘描述了一种智能web缓存架构,能够根据客户端的访问模式调整其行为。通过使用分类和规则关联技术改进了Web缓存。该系统可以提高AHSs的性能。
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