Semantic Web Approach towards Interoperability and Privacy issues in Social Networks

TL;DR

This paper explores how semantic web technologies can enhance interoperability and address privacy issues in social networks, which are currently hindered by data silos and lack of integration.

Contribution

It proposes a semantic web approach to improve interoperability among social web applications, tackling privacy concerns and data silos.

Findings

Semantic web can facilitate data sharing across social networks.

Interoperability improves user experience and data integration.

Semantic frameworks can address privacy issues effectively.

Abstract

The Social Web is a set of social relations that link people through World Wide Web. This Social Web encompasses how the websites and software are designed and developed to support social relations. The new paradigms, tools and web services introduced by Social Web are widely accepted by internet users. The main drawbacks of these tools are it acts as independent data silos; hence interoperability among applications is a complex issue. This paper focuses on this issue and how best we can use semantic web technologies to achieve interoperability among applications.