ISWC-2005 Workshop on:
Semantic Network Analysis
Monday, November 7, 2005 at Galway, Ireland
| Potential Audience | Invited Talk |
Proceedings of the workshop is available here and as Volume 171 of the CEUR-WS series at SunSITE Central Europe.
During the past years a shift in the fundamental understanding
of the aims of Computer Science, especially in AI, could be observed. While
early research in AI aimed at replacing the human being with better tools,
the prevalent current vision is nowadays to support him in his tasks. This
shows up in the rise of research areas like communities of practice,
knowledge management, web communities, and peer to peer.
In particular the notion of collaborative work – and thus the need of
its systematic analysis – becomes more and more important.
On the other hand, techniques for analyzing such structures have a long tradition within sociology. While in the beginnings, researchers in that area had to spent huge efforts in collecting data, they nowadays often come for free in the WWW. Popular examples are citation and co-author graphs, friend of a friend etc.
Thus there exists an increasing interest of the social network
analysis community in the web. The semantic web provides an additional aspect
as it distinguishes between different kinds of relations, allowing for more
complex analysis schemes.
Our aim is to bring the two communities together in order to
learn from each other. We expect especially that the semantic web community
can largely benefit from the long tradition present in social network analysis.
Beside analyzing social networks and cooperative structures
within the (semantic) web, our second aim is to exploit the results for supporting
and improving communities in their interaction. An important research topic
is thus how to include network analysis tools in working environments such
as knowledge management systems, peer to peer systems or knowledge portals.
Topics of Interest
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: