Alon Y. Levy and Daniel S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2):1--14, April 2000.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....autonomy, social hability, reactivity and proactivity. Due to the enormous ammount of information accessible through the Internet, and the short time a user generally has to find relevant information, a type of agent that has been widely researched is the so called intelligent infor mation agent [9,12,10, 16,3]. They are defined in [9] as computational software entities that can access one or multiple information sources that are distributed and heterogeneous and can acquire, mediate and mantain proactively relevant information on behalf of the user or other agents, preferably in a just in time fashion. ....

A. Y. Levy and D. S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2):1-14, 2000.

.... text categorization, machine learning, topics detection and tracking, clustering, and probabilistic models [Mitchell 96] Sebastiani 99] Miller et al. 99] Our agents system can be classified as web mining agents or information discovery agents described in literature [Cooley et al. 97] Levy et al. 99] Chakrabarti et al. 99] This paper considers the design and implementation of the agents system to achieve the desired goal as automated research topics discovery. The general architecture and the preprocessing system are briefly presented in this paper. The agents system is called KAROKA ....

Levy, A.Y. and Weld, D.S. : "Intelligent Internet systems" Artificial Intelligence Journal, vol. 118, numbers 1-2, pp.1-14, April, 2000.

....filtering categorization, and personalized web agents [32] The database approach focuses on techniques for organizing semistructured data on the web into more structured collection of resources, and uses database querying mechanisms and data mining techniques to analyze it. Levy et al. [33] discuss general intelligent internet systems with respect to user modeling, discovery, and analysis of remote information sources, information integration, and web site management. 2) WSM: WSM pertains to mining the structure of hyperlinks within the web itself (inter document structure unlike ....

A. Levy and D. Weld, "Intelligent internet systems," Artificial Intell., vol. 118, no. 1--2, 2000.

....in how to integrate data from multiple heterogeneous sources. The goal of a data integration system is to provide a uniform interface to several data sources. An example of information integration is the task of providing information about movies from data sources on the web (for example, cf. [18]) The goal of web site management applications is the exible construction and modi cation of web sites. Web sites contain and integrate several pieces of data that are linked together into a navigational structure. One possible approach in these applications is to declaratively represent web ....

A. Y. Levy and D. S. Weld. Intelligent internet systems. Arti cial Intelligence, 118:1-14, 2000.

....filtering categorization and personalized web agents [32] The database approach focuses on techniques for organizing semi structured data on the web into more structured collection of resources, and uses database querying mechanisms and data mining techniques to analyze it. Levy et al. [33] discuss general intelligent internet systems with respect to user modelling, discovery and analysis of remote information sources, information integration and web site management. B.2 Web Structure Mining Web structure mining pertains to mining the structure of hyperlinks within the web itself ....

A. Levy and D. Weld, "Intelligent internet systems," Artificial Intelligence, vol. 118, no. 1-2, 2000.

....in how to integrate data from multiple heterogeneous sources. The goal of a data integration system is to provide a uniform interface to a several data sources. An example of information integration is the task of providing information about movies from data sources on the web (for example, cf. [13]) The goal of web site management applications is the exible construction and modi cation of web sites. Web sites contain and integrate several pieces of data that are linked together into a navigational structure. One possible approach in these applications is to declaratively represent web ....

A. Y. Levy and D. S. Weld. Intelligent internet systems. Articial Intelligence, 118:1-14, 2000.

....While both HTML and XML are languages for representing semistructured data, the first is mainly presentationoriented and is not really suited for database applications. XML, on the other hand, separates data structure from layout and provides a much more suitable data representation (cf. e.g. [1, 17]) A set of XML documents can be regarded as a database and can be directly processed by a database application or queried via one of the new query languages for XML, such as XML GL [8] XML QL [11] and XQuery [9] As the following example shows, the lack of accessibility of HTML data for querying ....

A.Y. Levy and D.S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2), 2000.

....in how to integrate data from multiple heterogeneous sources. The goal of a data integration system is to provide a uniform interface to a several data sources. An example of information integration is the task of providing information about movies from data sources on the web (for example, cf. [15]) The goal of web site management applications is the flexible construction and modification of web sites. Web sites contain and integrate several pieces of data that are linked together into a navigational structure. One possible approach in these applications is to declaratively represent web ....

A. Y. Levy and D. S. Weld. Intelligent internet systems. Artificial Intelligence, 118:1--14, 2000.

....or to republish, requires a fee and or special permission from the Endowment. Proceedings of the 27th VLDB Conference, Roma, Italy, 2001 for database applications. XML, on the other hand, separates data structure from layout and provides a much more suitable data representation (cf. e.g. [1, 16]) A set of XML documents can be regarded as a database and can be directly processed by a database application or queried via one of the new query languages for XML, such as XML GL [7] XML QL [10] and XQuery [8] As the following example shows, the lack of accessibility of HTML data for querying ....

A.Y. Levy and D.S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2), 2000.

....Chakrabarti [23] provides a survey of data mining for hypertext. His paper mainly surveys the statistical techniques for Web content across the continuum of supervised, semi supervised and unsupervised learning, and social network analysis techniques for Web structure mining. Levy and Weld [84] wrote a survey in the special issue of Arti cial Intelligence on intelligent Internet systems that we think describes a broader domain than Web mining. Vaithyanathan [118] gives an overview of the papers in the special issue of Arti cial Intelligence Review on data mining on the Internet. He ....

A. Y. Levy and D. S. Weld. Intelligent internet systems. Articial Intelligence, 118(1-2), 2000.

....the classification or the reliability of that source should be updated. 4 Systems and Frameworks Some of the tasks for information agents identified in the previous section have already been widely addressed and some feasible solutions have been developed. Following the grouping suggested in [105], existing intelligent systems (in particular Web systems) have their main focus in some of the following fields: User modeling and profiling: addressing the issue of deploying adaptive user interfaces and recommendation systems, integrating user queries on the basis of the user profile or ....

....addressing the issue of deploying adaptive user interfaces and recommendation systems, integrating user queries on the basis of the user profile or directly suggesting the user items of interest. We do not address this topic explicitly in our review; hints and relevant literature can be found in [105]. INFSYS RR 1843 00 05 Analysis and preprocessing of information sources: building up the meta knowledge on which reasoning and decision making is based, on the basis of application domain description. As far as information agents are concerned, we will suppose that such meta knowledge is ....

A. Levy and D. Weld. Intelligent Internet systems. Artificial Intelligence, 118(1--2):1--14, 2000.

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Alon Y. Levy and Daniel S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2):1--14, April 2000.

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Levy A. and Weld D., "Intelligent Internet Systems", Artificial Intelligence, Vol. 118, number 1-2, 2000, pp.1-14.

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Alon Y. Levy and Daniel S. Weld. Intelligent internet systems. Artificial Intelligence, 118(1-2):1--14, April 2000.

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A. Levy and D. Weld. Intelligent Internet Systems. Artificial Intelligence, 118(1--2):1--14, 2000.

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A. Y. Levy and D. S. Weld. Intelligent internet systems. Arti cial Intelligence, 118(1-2):1-14, 2000.

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A. Y. Levy and D. S. Weld. Intelligent internet systems. Articial Intelligence, 118:1-14, 2000.

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