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Topics of Interest - Be sure to click the link in "Proceedings of the workshop is available here..." Submissions are invited on work relating the Semantic Web with Social Network Analysis. Both theoretical as well as applciation papers are welcome. The topics of interest include (but are not limited to) the following: * Social Network Analysis of the Semantic Web * Network Analysis Methods * Analysis of Large Online Communities (Wikipedia, DMOZ, EBay, ...) * Semantic Web Communities * Web Communities of Practice * Online Harvesting of Semantic Network Information * Network Analysis for Building the Semantic Web * Emergent Semantics in Communities * Change Detection * Self-organization and Management of Semantic Networks * Trust Issues in Semantic Networks * Semantic Network Metadata * Folksonomies * Communities in P2P systems * Online Social Networking (FOAF, Orkut, ...) * Applications of Online Semantic Networks * Knowledge Management with Semantic Networks

The use of the semantic web in education is explored. Two application areas for use are discussed: a) software agents that support teachers in performing their tasks in flexible online educational settings, and b) software agents that interpret the structure of distributed, self-organized, self-directed learning networks for lifelong learning. The resulting information is used by learners to help persons them perform their tasks in this context more effectively and efficiently.

The blogosphere is the most explosive social network you'll never see. Recent studies suggest that nearly 60 million blogs exist online, and about 175,000 more crop up daily (that's about 2 every second). Even though the vast majority of blogs are either abandoned or isolated, many bloggers like to link to other Web sites. These links allow analysts to track trends in blogs and identify the most popular topics of data exchange. Social media expert Matthew Hurst recently collected link data for six weeks and produced this plot of the most active and interconnected parts of the blogosphere.

Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. Developments in the Semantic Web, while contributing to the solution to these problems, also raise new issues that must be considered if we are to progress. This paper surveys the basics of the Semantic Web and discusses its importance in future Web-based educational applications.