19 resultados para A-PAGE

em Deakin Research Online - Australia


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The use of the Web has become an essential part of teaching and learning in Australian schools. Nevertheless, many students lack knowledge of how to properly evaluate and cite Web-sourced information. This paper presents criteria, by which students can judge the reliability of Web resources, and guidelines on the citation of Web information. These strategies have been implemented successfully by the authors in their classes.

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The World Wide Web is now a huge information source with its own characteristics. In most cases, traditional database-based technologies are no longer suitable for web information processing and management. For effectively processing and managing web. information, it is necessary to reveal intrinsic relationships/structures among concerned web information objects such as web pages. In this work, a set of web pages that has its own intrinsic structure is called a web page community. This paper proposes a matrix model to describe relationships among concerned web pages. Based on this model, intrinsic relationships among pages could be revealed, and in turn a web page community could be constructed. The issues that are related to this model in its application are deeply investigated and studied. Some applications based on this model are presented, which demonstrate the potential of this matrix model in different kinds of web page community construction and information processing.

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This paper proposes a hyperlink-based web page similarity measurement and two matrix-based hierarchical web page clustering algorithms. The web page similarity measurement incorporates hyperlink transitivity and page importance within the concerned web page space. One clustering algorithm takes cluster overlapping into account, another one does not. These algorithxms do not require predefined similarity thresholds for clustering, and are independent of the page order. The primary evaluations show the effectiveness of the proposed algorithms in clustering improvement.

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The rapid increase of web complexity and size makes web searched results far from satisfaction in many cases due to a huge amount of information returned by search engines. How to find intrinsic relationships among the web pages at a higher level to implement efficient web searched information management and retrieval is becoming a challenge problem. In this paper, we propose an approach to measure web page similarity. This approach takes hyperlink transitivity and page importance into consideration. From this new similarity measurement, an effective hierarchical web page clustering algorithm is proposed. The primary evaluations show the effectiveness of the new similarity measurement and the improvement of web page clustering. The proposed page similarity, as well as the matrix-based hyperlink analysis methods, could be applied to other web-based research areas..

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The development of the Internet has boosted prosperity of the World Wide Web, which is now a huge information source. Because of characteristics of the web, in most cases, traditional databasebased technologies are no longer suitable for web information retrieval and management. To effectively manage web information, it is necessary to reveal intrinsic relationships/structures among web information objects by eliminating noise factors. This paper proposes a mechanism that could be widely used in information processing, including web information processing and noise factor elimination for getting more intrinsic relationships. As an application case of this mechanism, one relevant web page finding algorithm is proposed to uncover intrinsic relationship among web pages from their hyperlink patterns, and find more semantic relevant web pages. The experimental evaluation shows the feasibility and effectiveness of the algorithm and demonstrates the potential of the proposed mechanism in web applications.

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Discovering intrinsic relationships/structures among concerned web information objects such as web pages is important for effectively processing and managing web information. In this work, a set of web pages that has its own intrinsic structure is called a web page community. This paper proposes a matrix model to describe relationships among concerned web pages. Based on this model, intrinsic relationships among pages could be revealed, and in turn a web page community could be constructed. The issues that are related to this model and its applications are investigated and studied. Some applications based on this model are presented, which demonstrate the potential of this matrix model in different kinds of web page community construction and information processing.

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The rapid development of network technologies has made the web a huge information source with its own characteristics. In most cases, traditional database-based technologies are no longer suitable for web information processing and management. For effectively processing and managing web information, it is necessary to reveal intrinsic relationships/structures among concerned web information objects such as web pages. In this work, a set of web pages that have their intrinsic relationships is called a web page community. This paper proposes a matrix-based model to describe relationships among concerned web pages. Based on this model, intrinsic relationships among pages could be revealed, and in turn a web page community could be constructed. The issues that are related to the application of the model are deeply investigated and studied. The concepts of community and intrinsic relationships, as well as the proposed matrix-based model, are then extended to other application areas such as biological data processing. Some application cases of the model in a broad range of areas are presented, demonstrating the potentials of this matrix-based model.

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The rapid development of Web technologies has made the World Wide Web a huge information source. However, due to the lack of a well-defined underlying data model for Web documents, effectively and efficiently finding required information and managing Web data are usually tedious and difficult tasks when using conventional information retrieval and data management techniques. The Web page community, defined as a set of Web-based documents with its own logical and/or semantic structures, provides a flexible and effective approach to support Wed data management, information retrieval and applications. This book addresses using hyperlink information to discover Web page communities. The work establishes a uniform framework for hyperlink analysis and community construction. Algorithms, supporting mechanisms and data models are proposed in the book. This book should help shed some light on this new and exciting research and application area. It is useful to researchers and students in Web mining, Web data management and information retrieval, as well as to professionals who may be considering utilizing Web communities to improve their applications.

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Whether one writes in the field of literary studies or that of creative writing, one begins with the 'blank page'. The field of interest I am calling the 'blank page' has implications for the discipline of creative writing, and can be useful to theorising creativity, writing practice, and pedagogy. One creates out of, or into, the 'blank page '; one's practice is partly determined by how one theorises, however subconsciously, this blank page (how does one start? how blank is the page? how have others figured the blank page); and one teaches students who have to face literal blank pages. ln this paper I will consider how the theorisation of the blank page in literary studies addresses such creative-writing issues. I will then engage D.W. Winnicott's psychoanalytic theory on 'the location of play' to consider the implications of conceptualising the blank page as 'the location of writing'. A Winnicottian approach to the blank page, as a space akin to the potential space of play, allows various insights into the process of writing, especially as a proccss involving paradox.

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Anonymous web browsing is a hot topic with many potential applications for privacy reasons. The current dominant strategy to achieve anonymity is packet padding with dummy packets as cover traffic. However, this method introduces extra bandwidth cost and extra delay. Therefore, it is not practical for anonymous web browsing applications. In order to solve this problem, we propose to use the predicted web pages that users are going to access as the cover traffic rather than dummy packets. Moreover, we defined anonymity level as a metric to measure anonymity degrees, and established a mathematical model for anonymity systems, and transformed the anonymous communication problem into an optimization problem. As a result, users can find tradeoffs among anonymity level and cost. With the proposed model, we can describe and compare our proposal and the previous schemas in a theoretical style. The preliminary experiments on the real data set showed the huge potential of the proposed strategy in terms of resource saving.

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With Facebook being the largest social network site (SNS), can government use Facebook (FB) to increase citizen participation in delivering and promoting their services? This paper presents the case of government use of social media for tourism to provide a general understanding online government and user participation in the Tourism government FB page. This is a case study research into the government FB page of Tourism Australia. FB page wall posts and comments are analysed quantitatively using content analysis to determine what type of online participation is visible in these sites and what the agencies are trying to achieve. Further, the paper employed a spectrum of online engagement matrix to identify the type of engagement being attained by the page. Findings show that the page has successfully served as a platform for its audience to share their Australian experience and it is being used for the purpose of announcing, informing and involving type of online engagement. This is an example of a crowdsourcing endeavour where tourism experiences and stories and pictures are being sourced from public. The research contributes to gaining a better understanding of government FB phenomenon, in particular for Australian context.