lab phase 6 (2008 – 2009)

Project

Name

Description

Objectives /

Results

Semantic Social Web Lab

Combine Web 2.0 and 3.0 vision and technologies to develop a Semantic Social Web SaaS platform.

- Study and analyze the Web 2.0 and Web 3.0 market trends and the technologies involved.

- Continued semantic visualization research based on a Model View Controller paradigm.

- Study social network analytics and semantic content analysis.

- Develop scalability of the semantic engine to support large networks.

- Develop the social graph ontology as the core knowledge model for the Spribo platform.

- Extend the model with ontology standards (e.g., FoaF, SIOC, OAuth, SKOS, etc.)

- Implement social apps (e.g., blog, discussion forum, messaging center, member wall, wiki, multimedia sharing, etc.) and develop apps to make them smarter.

- Implement emerging standards in the Web 2.0 market (e.g., OpenID, RDI, Data Portability, XMPP, XDI, OpenSocial, etc.).

- Support APIs of leading applications and social networking sites for contact and content interaction (e.g., Facebook, Google, Yahoo, Flickr, LinkedIn, Twitter, MSN, AOL, Outlook, etc.).

- Support network identity federation.

- Support Semantic Web interoperability (i.e., Dublin Core, ISO, W3C).

- Develop modeling tools for the domain expert.

- Develop administration tools.

- Implement a scalable SaaS infrastructure with SLA support for a beta test of the Semantic Social Web platform.

- Implement use cases applied to entertainment, state communities, business and nonprofits.

- Develop domain knowledge models (i.e., State, green, government transparency, digital divide, health care).

- Launch the Semantic Social Web platform beta.