Supporting Data Driven Access through Automatic Keyword Extraction and Summarization

The ever-increasing user generated digital data available through the Internet has become an important source of information for individuals, organizations and government agencies. And yet, for users to fully discover and utilize those information remains a complex tasks. Existing popular information access models based on keyword and/or facet searches become less effective in providing access to specific sets of user generated data. To address their limitation, we propose an approach where keywords and summarization of subset of document could be automatically generated during an interactive user session to facilitate user´s information seeking process. In this paper, we present our preliminary development including a new algorithm for keyword extraction and summarization generation simultaneously over a subset of documents and visual representations of those results to assist user explorations.