ArgumentBind - A Model for Implementing Argument Web Integrated Applications with Open and Linked Data
Abstract
Online communication and collaboration tools are widely employed by users in order to express their opinions on a vast amount of subjects. These tools were not designed to accurately identify topics, nor to point out relationships between topic elements related to a given discussion. As it turns out, there is a staggering amount of user-contributed information generally available, and conversely, a huge challenge related to accurately pointing out featured topics and their intertwining relationships and sources. The main purpose of Argument Web is to define a rich, full-featured annotation model capable of storing relationships between topics and their sources. Given the availability of rich, interlinked data about a number of related subjects, Argument Web can potentially increase the quality of online discussions and the analysis of its components. However, there is still a reduced number of real-world applications based on these concepts. Even in well-known projects, there's still a lack of exploration efforts related to the use of open and linked data. This paper presents an application model based on Argument Interchange Format (AIF) and state-of-the-art semantic Web technology. Its main contribution lies in the integration of external source information, linked data formats and data visualization aspects. The solution is then evaluated through a case-study related to the use of open and linked data on the field of public administration.
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