AAAI-SSS09-Web
From Tetherless World Wiki
Call for Participation blurb
Web 2.0 is highlighted by the explosive data growth caused by the network effect of the social web. The success of well-known social web applications, such as Wikipedia, YouTube, LinkedIn, Flickr and FaceBook, has shown the impact of social factors in promoting online content production and propagation. The emerging Web 3.0, powered by semantic web technologies such as RDF, OWL and SPARQL, enables better means for annotating, linking and organizing online content for future retrieval.
The strength of the social web and the semantic web is complementary in terms of content generation and organization. Social web applications provide end-user friendly tools for community-based content generation; however, they offer limited means for exposing the semantics conveyed by the generated content, and thus make it difficult for consumers to find, filter and reuse the content they need. Semantic web technologies bring about capabilities for modeling and querying complex semantic relations among web resources; however, they still need end-user friendly tools for massive semantic content production, association, and consumption. Web semantics, which combines the strength of social web technologies and semantic web technologies, is a promising approach to the "chicken-and-egg problems" (e.g., whether ontologies come first or tools come first) in semantic web as well as the organization and retrieval issues in the social web.
In this workshop, we are interested in bringing together the semantic web community and the social web community in an effort to promote the collaborative development and deployment of AI in the WWW context. Collaborative work of social web and AI communities holds the key to bringing a higher level of organization to social media data while letting the AI community learn from the social web experience in creating easy-to-use and engaging user interfaces. The outcome of this workshop should identify: (i) the AI technologies, with a focus on knowledge representation and collective intelligence, which may benefit social web content organization and retrieval; (ii) the social web technologies to facilitate massive semantic content production; and (iii) the outstanding requirements, e.g., the scalability issues, to AI technologies emerged from the merging practice.
