Search is becoming more interactive and query logs are among the commonly used resources to propose search suggestions. An alternative to exploiting logs is the extraction of a domain model based on the actual documents. This is particularly promising when restricting search to an intranet or a Web site where the size of the collection allows the application of full natural language parsing and where the documents can be expected to be virtually spam-free. Using a university Web site as an exemplar, we extract predicate argument structures from documents to acquire a domain model automatically. This domain model can be employed to guide users in information finding. Here we explore different ways of exploiting the initially constructed domain model in interactive search and present a task-based evaluation comparing these methods against a baseline system resembling a standard search interface with no suggestions
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.