Link analysis in heterogeneous information networks, Barcelona, Spain
16 July 2011 - 16 July 2011
Spain
A conference entitled Link analysis in heterogeneous information networks will be held from 16 to 18 July 2011 in Barcelona, Spain.
Recent work on link mining and social networks has led to a convergence of methodologies for network modelling, incorporating classification, learning and reasoning with graphical models, frequent subgraph mining, relational representation, and link prediction, among other techniques.
Many intelligent systems applications to information extraction, web search, and recommendation call for inferences to be made regarding the existence, type, or attributes of links. Some tasks, such as question answering using information networks, may require that inferences be based upon partial link information and made under uncertainty about participating entities and relationships.
The emphasis of this workshop will be approaches based on relationship extraction from heterogeneous sources such as technical literature, news articles, social network profile data and social media.For further information, please click: here(opens in new window)
Recent work on link mining and social networks has led to a convergence of methodologies for network modelling, incorporating classification, learning and reasoning with graphical models, frequent subgraph mining, relational representation, and link prediction, among other techniques.
Many intelligent systems applications to information extraction, web search, and recommendation call for inferences to be made regarding the existence, type, or attributes of links. Some tasks, such as question answering using information networks, may require that inferences be based upon partial link information and made under uncertainty about participating entities and relationships.
The emphasis of this workshop will be approaches based on relationship extraction from heterogeneous sources such as technical literature, news articles, social network profile data and social media.For further information, please click: here(opens in new window)