The continued growth and importance of the Social Web has resulted in ever increasing volumes of data created, published and consumed by users. This vast amount of data takes many forms, including text, images, video and streams of status information from applications such as Facebook and Twitter. Not only is this data accessible through more traditional means, such as desktop and laptop computers, but also via diverse platforms such as mobile devices and set-top boxes that bring unique constraints in terms of computing resources, interaction modes and user interfaces. Through the increasing availability of Web APIs, data that has traditionally been coupled with a specific application may now be exposed through novel interfaces developed by third parties, providing functionality not previously anticipated by data owners.
In tandem with the growth of the Social Web, the Web at large has experienced a significant evolution into a Web not just of linked documents, but also of Linked Data. This development, which exploits the Semantic Web technology stack, allows relationships to be expressed between items in distributed data sets, paving the way for integration of raw data from multiple, heterogeneous sources. Coupled with the increasing availability of APIs that expose data from the Social Web, application developers have a wealth of data available to them upon which they can build compelling visual interfaces. Furthermore, in context of recent developments, such as Facebook introducing Open Graph Protocol, Twitter enabling tweets with annotations and Google moving into the Semantic Web with their acquisition of Metaweb, interactions on the Social and Semantic Web are gaining a larger audience.
In this context, the ability to easily integrate vast amounts of data from across the Social and Semantic Web raises significant and exciting research challenges, not least of which how to provide effective access to and navigation across vast, heterogeneous and interconnected data sources. However, the need for intelligent and visual human interfaces to this evolving Web is not limited simply to the modalities of searching and browsing, important as these are. As the Web becomes increasingly populated with data, continues to evolve from a read-mainly to a read-write medium, and the level of social interaction supported on the Web increases, there is also a pressing need to support end-users who engage in a wide range of online tasks, such as publishing and sharing their own data on the Web. Exploring different aspects of those developments and their implications for visual interface research and development is one of the goals of the workshop.
This workshop aims to bring together researchers and practitioners from diverse, complementary fields to discuss the latest research results and challenges in designing, implementing, and evaluating intelligent interfaces in the context of the Social or Semantic Web. The workshop will serve as an opportunity for researchers to gain feedback on their work, and to identify potential collaborations with their peers. We believe that the potential for fostering links between a variety of facets of the IUI community will help to ensure an exciting workshop program.
Previous workshops: VISSW2009 and VISSW2010.
Topics of interest include, but are not limited to:
Accepted papers are published in CEUR-WS.org proceedings Vol-694.
We welcome three types of submissions:
Submissions must be in PDF format and prepared according to the main conference format. Papers will be peer-reviewed by three independent reviewers. Papers can be submitted via the EasyChair system . Accepted papers will be published in CEUR-WS.org proceedings.
If you have any questions, please feel free to contact the workshop organizers at: vissw2011 atSign easychair dot org
Endorsed by