2012 Proceeding- Conference Chairs:
- Rajendra Akerkar,
- Pierre Maret,
- Laurent Vercouter
It is with great pleasure, and on behalf of the organizing committee, we would like to welcome you to the 4th International Workshop on Web Intelligence & Communities (WI&C 2012) taking place on April 16th in Lyon, France and collocated with the WWW 2012 conference.
This workshop, the fourth in a series of workshops, is intended to stimulate discussions on the forefront of research concerned with web intelligence applied to collaborative networks. Web Intelligence consists of a multidisciplinary area dealing with exploiting data and services over the Web, to create new data and services using both Information and Communication Technologies (ICT) and Artificial Intelligence (AI) techniques. Communities appear as a first-class object in the areas of web intelligence and agent technologies, as well as a crucial crossroads of several sub-domains (i.e. user modelling, protocols, data management, data mining, content modelling, etc.). These sub-domains impact the nature of the communities and the applications which are related to them. These applications are numerous, and the success of well-known Social Network Sites for entertainment should not be allowed to over-shadow the other application domains, for instance in education, health, design, knowledge management, and so forth.
The workshop will provide presentation and discussion opportunities for researchers working on web intelligence applied to collaborative networks, such as virtual communities. The possibilities and consequences of the web usage for collaborative networks are tremendous and new tools are required to satisfy users and service providers.
Proceeding Downloads
Web intelligence and communities
Web Intelligence deals with intelligent methods and information & communication technologies that are integrated to enhance different web-based applications. Communities are popular, particularly on the World Wide Web, as a means for like-minded ...
Smart places: multi-agent based virtual community management system
Virtual Communities (VC) are synergetic digital spaces to build collaborations and exchange knowledge between people sharing similar interests or goals. They respond to human needs such as information sharing, friendship, and recreation. In this paper, ...
A dissimilarity measure for automate moderation in online social networks
Social networks (SN) have sprouted on the Internet in a very quick way in the last few years. As a large quantity of users starts using them, a lot of social problems are starting to appear, and therefore these sites need to be moderated. However, the ...
Clustering avatars behaviours from virtual worlds interactions
Virtual Worlds (VWs) platforms and applications provide a practical implementation of the Metaverse concept. These applications, as highly inmersive and interactive 3D environments, have become very popular in social networks and games domains. The ...
Collective intelligence as a source for machine learning self-supervision
The recent growth of virtual communities, social web and information sharing gives to information retrieval and machine learning systems a source of information referred as the "wisdom of crowds". In this work we show that this information could be used ...
Automated community detection on social networks: useful? efficient? asking the users
In most online social networks, with the increasing number of users and content, the problem of contact filtering becomes more and more present. The recent introduction of such features in online social networks -- for instance, Circles in Google+ or ...
Towards decision support for a home care services platform
It is believed that ICT-mediation for home care services increases patient empowerment, independency, self-efficacy and quality of life. Providing elderly people with tailored care services allows us to learn from patient data to predict future care ...
Towards geosocial recommender systems
The usage of social networks sites (SNSs), such as Facebook, and geosocial networks (GSNs), such as Foursquare, has increased tremendously over the past years. The willingness of users to share their current locations and experiences facilitate the ...
User interests driven web personalization based on multiple social networks
User related data indicate user interests in a certain environment. In the context of massive data from the Web, if an application wants to provide more personalized service (e.g. search) for users, an investigation on user interests is needed. User ...