Mashups have become popular in recent years in the context of web 2.0 developments. They represent a way of allowing an application to grow beyond the capabilities of its original developers through an incorporation o...
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Mashups have become popular in recent years in the context of web 2.0 developments. They represent a way of allowing an application to grow beyond the capabilities of its original developers through an incorporation of external functionality. This paper first introduces several approaches to integrating mashups into the web pages or services, which commonly implement ways to determine which mashups are potentially relevant for display in a certain web page context. It then describes in detail a novel approach called ActiveTags, which enables users to create reliable mashups based on tags and hence customized views of web pages with tagged content. A scenario that demonstrates the potential benefits of this approach is presented. Moreover, a formalization is presented which suitably combines previous work on modeling the web with relational meta-programming, thereby showing that ActiveTags (as well as related approaches) can conceptually be described in terms of the relational model of data.
With the exponential growth in the volume of data and the heterogeneity of information, users are facing increasing difficulties in identifying relevant information, irrelevant information, or even noise. To overcome ...
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ISBN:
(纸本)9781450361019
With the exponential growth in the volume of data and the heterogeneity of information, users are facing increasing difficulties in identifying relevant information, irrelevant information, or even noise. To overcome these issues, mechanisms for customizing information have emerged. The personalization of information consists in adapting the information according to the preferences and/or access context of the user. Context can be seen as any information that describes an entity. The user's preferences are combined in a profile. The user profile can be seen as a setting in factor of the invariant part of the user's preferences. The mechanisms for personalizing information are mainly based on the user profile and the user's access context. The personalization of information cannot be seen as a domain in itself because it is used in various technological fields, namely: the field of information retrieval, the field of databases and the field of human-machine interfaces. The objective of this work is to provide an overview of the mechanisms of information personalization by presenting their foundations and showing you how information personalization is used in the various technological areas mentioned above.
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