this paper describes tools for media conversion and fusion of TV and web content. Conventionally, web pages are browsed on a personal computer (active browsing) and TV programs are watched on TV (passive watching). Ho...
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ISBN:
(纸本)354025207X
this paper describes tools for media conversion and fusion of TV and web content. Conventionally, web pages are browsed on a personal computer (active browsing) and TV programs are watched on TV (passive watching). However, if TV and web content is converted and integrated, it can be viewed in different ways, depending on one's mood, age, or situation. Two kinds of tools are presented in this paper: tools for converting web content to TV content and tools for converting and integrating TV content to web content. As examples of the former, we explain tools for converting web content, after stage-managing, in the form of comic talkshows or animated picture books for easier understanding by children. As examples of the latter, we describe tools for converting TV content in the form of a storyboard, followed by searching related web pages that complement the original TV content, and integrating the results into a single storyboard-style web page.
OLAP (On-Line Analytical Processing) systems are used to support decision-making processes by providing agile analytical operations on large amounts of data. Usually, the operations require dimensions to be onto and c...
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ISBN:
(纸本)354025207X
OLAP (On-Line Analytical Processing) systems are used to support decision-making processes by providing agile analytical operations on large amounts of data. Usually, the operations require dimensions to be onto and covering;however, in real-world applications, many dimensions fail to meet the requirements, which can be non-covering, non-onto or self-into. In this paper, we will mainly concern the transforming of non-covering dimensions;we first define four different types of non-covering dimensions, and then devise several algorithms to transform them into covering ones respectively. the algorithms are of low computational complexity and can provide full support for transforming various non-covering dimensions into covering ones correctly.
this paper presents how conversations are integrated into web services composition. While much of the recent work on web services has focussed on low-level standards for publishing, discovering, and triggering them, t...
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Client-side caching of spatial data is an important yet very much under investigated issue. Effective caching of vector spatial data. has the potential to greatly improve the performance of spatial applications in the...
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ISBN:
(纸本)354025207X
Client-side caching of spatial data is an important yet very much under investigated issue. Effective caching of vector spatial data. has the potential to greatly improve the performance of spatial applications in the web and wireless environments. In this paper, we study the problem of semantic spatial caching, focusing on effective organization of spatial data and spatial query trimming to take advantage of cached data. Semantic caching for spatial data is a much more complex problem than semantic caching for aspatial data. Several novel ideas are proposed in this paper for spatial applications. A number of typical spatial application scenarios are used to generate spatial query sequences. An extensive experimental performance study is conducted based on these scenarios using real spatial data. We demonstrate a significant performance improvement using our ideas.
Most existing algorithms cluster highly correlated data objects (e.g. web pages and web queries) separately. Some other algorithms, however, do take into account the relationship between data objects, but they either ...
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ISBN:
(纸本)354025207X
Most existing algorithms cluster highly correlated data objects (e.g. web pages and web queries) separately. Some other algorithms, however, do take into account the relationship between data objects, but they either integrate content and link features into a unified feature space or apply a hard clustering algorithm, making it difficult to fully utilize the correlated information over the heterogeneous web objects. In this paper, we propose a novel unified probabilistic framework for iteratively clustering correlated heterogeneous data objects until it converges. Our approach introduces two latent clustering layers, which serve as two mixture probabilistic models of the features. In each clustering iteration we use EM (Expectation-Maximization) algorithm to estimate the parameters of the mixture model in one latent layer and propagate them to the other one. the experimental results show that our approach effectively combines the content and link features and improves the performance of the clustering.
As web pages are created, destroyed, and updated dynamically, web databases should be frequently updated to keep web pages up-to-date. Understanding the change behavior of web pages certainly helps the administrators ...
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Recommender systems using collaborative filtering are a popular technique for reducing information overload and finding products. In this paper, we present a reliability-based WWW collaborative recommender system IWWS...
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ISBN:
(纸本)354025207X
Recommender systems using collaborative filtering are a popular technique for reducing information overload and finding products. In this paper, we present a reliability-based WWW collaborative recommender system IWWS (Intelligent web Wizard System), mainly aiming to attack so-called "Matchmaker" problem in collaborative filtering. the "Matchmaker" problem steins from false assumptions that users are counted only by their similarity and high similarity means good advisers. In order to find good advisers for every user, we construct a matchmaker's reliability mode based on the algorithm deriving from Hits, and apply it in IWWS. Comparative experimental results also show that IWWS contrastively improves performance.
web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. Since web users with similar web behav...
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In this paper, we present a novel application of connectionist neural modeling to map web page requests to web server cache to maximize hit ratio and at the same time balance the conflicting request of distributing th...
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Essential to an audience driven website design philosophy is the organization of information and functionality according to the requirements of the different audience classes. However, at design time, it is often diff...
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ISBN:
(纸本)354025207X
Essential to an audience driven website design philosophy is the organization of information and functionality according to the requirements of the different audience classes. However, at design time, it is often difficult to correctly assess the different needs and requirements of the different prospective users of a website. this may result in a non-optimal navigation structure, which will decrease the usability of the website. In this paper, we describe how to correct, at run-time and automatically, possible flaws in the design resulting from incomplete requirement assessment, using adaptive behavior. By observing the browsing behavior of the users, the requirements for the different users are validated and the website is adapted according to adaptation specifications made by the designer. these specifications express when and how the website needs to be adapted and are expressed using an Adaptation Specification Language. the work is presented in the context of an audience driven design method but we also elaborate shortly on the applicability of the technique in general.
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