MSC-based language for specifying automated web clients

Centeno, Vicente Luque; Breuer, Peter T.; Fernández, Luis Sánchez; Kloos, Carlos Delgado; Pérez, Juan Antonio Herráiz

doi:10.1109/iscc.2003.1214153

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…In this way the users prefer to obtain all the combined information sources into a unique homogenized window; although a data warehouse is an adequate solution, it does not work well when the amount of data is large or it is frequently updated, whereas mediator systems can integrate data and services, from different applications. 9 Anyway, the huge size of the distributed web knowledge and the vivid rapid increasing of data on the Internet require techniques and approaches that reduce information overload and improve the efficacy of online information access.…”

Section: Related Workmentioning

confidence: 99%

“…9,18,19 Some systems employ intelligent agent technology: some of them aim to help users with web browsing, 20 with adaptive web-based learning environments, 21 and with personalization and filtering of Internet information, 22 such as news and e-mail messages, 23 shopping, 24 and lifestyle sites. 25 In this ambit, the concept of a rational agent 26 plays a central role in distributed artificial intelligence~DAI!…”

Section: Related Workmentioning

confidence: 99%

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Interactive knowledge management for agent-assisted web navigation

Loia

Pedrycz

Senatore

et al. 2007

Int. J. Intell. Syst.

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Web information may currently be acquired by activating search engines. However, our daily experience is not only that web pages are often either redundant or missing but also that there is a mismatch between information needs and the web's responses. If we wish to satisfy more complex requests, we need to extract part of the information and transform it into new interactive knowledge. This transformation may either be performed by hand or automatically. In this article we describe an experimental agent-based framework skilled to help the user both in managing achieved information and in personalizing web searching activity. The first process is supported by a query-formulation facility and by a friendly structured representation of the searching results. On the other hand, the system provides a proactive support to the searching on the web by suggesting pages, which are selected according to the user's behavior shown in his navigation activity. A basic role is played by an extension of a classical fuzzy-clustering algorithm that provides a prototype-based representation of the knowledge extracted from the web. These prototypes lead both the proactive suggestion of new pages, mined through web spidering, and the structured representation of the searching results.

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Section: Related Workmentioning

confidence: 99%