This research is concerned with novel Web-related data management 
scenarios. In particular, we consider database problems which arise from 
social networks. In the talk, we will overview the main results of 
this research.
In the first part, we introduce the Query Network model, a basic model for 
social network automation using queries, with its evaluation algorithms and 
related experiments. We also discuss extensions for the model, and present 
a few theoretical results.
In the second part, we discuss social networks automation using Protocols 
for Social Networks, which coordinate consistency-preserving decisions in 
the network. Methods for the concurrent execution of multiple protocol 
instances, which relax the traditional concurrency control isolation 
requirement, are presented.
In the third part, we describe XPath^L language and system, which combines  
XPath, an XML query language, and Datalog, by introducing an XPath 
predicate to the Datalog logic-based formalism. We overview algorithms and 
related theoretical results.