2009/09/10 by Sihem Amer-Yahia, Amer-Yahia, Sihem, Laks V. S. Lakshmanan +3 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #Databases (cs.DB) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Programming Languages (cs.PL) #Semantic Web and Ontologies #Web Data Mining and Analysis
paper · pdf · doi:10.48550/arxiv.0909.2058
openalex publication_date 2009/09/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recently, many content sites have started encouraging their users to engage in social activities such as adding buddies on Yahoo! Travel and sharing articles with their friends on New York Times. This has led to the emergence of \em social content sites, which is being facilitated by initiatives like OpenID (http://www.openid.net/) and OpenSocial (http://www.opensocial.org/). These community standards enable the open access to users' social profiles and connections by individual content sites and are bringing content-oriented sites and social networking sites ever closer. The integration of content and social information raises new challenges for \em information management and discovery over such sites. We propose a logical architecture, named \kwSocialScope, consisting of three layers, for tackling the challenges. The \em content management layer is responsible for integrating, maintaining and physically accessing the content and social data. The \em information discovery layer takes care of analyzing content to derive interesting new information, and interpreting and processing the user's information need to identify relevant information. Finally, the \em information presentation layer explores the discovered information and helps users better understand it in a principled way. We describe the challenges in each layer and propose solutions for some of those challenges. In particular, we propose a uniform algebraic framework, which can be leveraged to uniformly and flexibly specify many of the information discovery and analysis tasks and provide the foundation for the optimization of those tasks.