Extracting Facets from Textual Contents for Faceted Search over XML Data
Takahiro Komamizu, Toshiyuki Amagasa, Hiroyuki Kitagawa · 2014
Faceted search for XML data is one of the promising exploration methods with high usability to find desired subtrees from a given XML data. This paper proposes improved approach of faceted search over XML data by utilizing facets containing unique and longer textual values, like titles of papers in bibliographic database. Our approach is to extract suitable terms which categorize the current results into several groups. Also we propose a task designing method for evaluating exploratory search by defining specificity of tasks called specification level, and we introduce how to generate tasks with given specification level as well. With this task design, we evaluate our proposed approach and the results show our proposed approach improves search performance comparing with the previous approaches, especially when tasks have low specification levels.