The schedule for the workshop is still being finalized. Below are the sessions as currently planned:
Aggregation versus selection bias, and relational neural networksAggregation and concept complexity in relational learningFeature extraction languages for propositionalized relational learningRelational learning: A web-page classification viewpointSocial Network Relational Vectors for Anonymous Identity MatchingFirst-order probabilistic models for information extractionA Note on the Unification of Information Extraction and Data Mining using Conditional-Probability, Relational ModelsEcosystem analysis using probabilistic relational modelingLearning statistical models of time-varying relational dataRelational Learning for Securities Market RegulationSpeeding up multi-relational data miningMining massive relational databasesToward a high-performance system for symbolic and statistical modelingThe relational vector-space model and industry classificationRepresentational power of probabilistic-logical models: From upgrading to downgradingThe Variable Precision Rough Set Inductive Logic Programming model -- a statistical relational learning perspectiveParameter estimation for stochastic context-free graph grammarsA comparison of Stochastic Logic Programs and Bayesian Logic ProgramsA new perspective of statistical modeling with PRISMCategorizing unsupervised relational learning algorithmsStatistical relational learning: Four claims and a surveyRelational learning problems and simple models