The document summarizes three papers from the SIGIR 2011 workshop on query representation and understanding. The first paper analyzes temporal queries using web snippets and query logs to identify queries with implicit temporal intent. It finds that web snippets contain more temporal evidence than query logs. The second paper analyzes the complex network structure of search queries, finding they exhibit a kernel-periphery structure like natural language with popular and rare query segments. The third paper investigates query refinement through topic analysis and learning with personalization. It generates topics from query logs, builds user profiles, and uses the topics and profiles to score candidate query refinements.