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Developing Web 2.0 Applications for Semantic Web of Trust

Authors: Omer Mahmood;

Developing Web 2.0 Applications for Semantic Web of Trust

Abstract

Historically data is processed, presented and shared by few applications that either generated it or that are specifically tailored to share it. Text and comma separated files are amongst the few which can be exchanged and interchanged with most applications. But in all such cases, the uniformly understandable information about the data and how it relates to the real world objects is missing. These missing links inhibit current Web applications to recognize common real world entities among various data sets by starting with one data set and then moving to other sets of data. Web 2.0 applications aim to interconnect users and contents so that users can use contents to find participants and vice versa. Resource description language (RDF), a language for Web 2.0, targets to represent information semantically and exchange knowledge in the current Web environment. "Web of Trust" is recognized as one of the foremost goals for Web 2.0 and it is a part of 'W3C seven point goals for the future Web'. Trust is recognized as one of the impacting forces in the Web and RDF is the main language to represent information for the Web 2.0. In this paper, a model is selected which conceptually connects users' online trust evaluations (contents) and physical participants (users and online merchants). The paper first outlines the essential features of a Web 2.0 application. Followed by this, a structured application development and implementation process is outlined for the selected model. For application development, Java programming language is selected due to the vast availability of open source libraries

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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