  In this demo paper, we introduce LogCanvas, a platform for user search
history visualisation. Different from the existing visualisation tools,
LogCanvas focuses on helping users re-construct the semantic relationship among
their search activities. LogCanvas segments a user's search history into
different sessions and generates a knowledge graph to represent the information
exploration process in each session. A knowledge graph is composed of the most
important concepts or entities discovered by each search query as well as their
relationships. It thus captures the semantic relationship among the queries.
LogCanvas offers a session timeline viewer and a snippets viewer to enable
users to re-find their previous search results efficiently. LogCanvas also
provides a collaborative perspective to support a group of users in sharing
search results and experience.
