Developing Structure-preserving and Query-biased Automated Summarization Methods for Web Search Engines
BAP funded project on automated summarization methods for web search engines.
Status
Completed 2007 - 2009
Developing Structure-preserving and Query-biased Automated Summarization Methods for Web Search Engines
Funding Agency: Bogazici University Research Fund, BAP (Project 07A106)
Project Manager: Tunga Güngör
Dates: 2007-2009
In this project, a new summarization approach was developed to improve the effectiveness of Web search based on two stages. In the first stage, a rule-based approach and a machine learning approach were implemented to identify the sectional hierarchies of Web documents. In the second stage, query-biased summaries are created based on document structure. The evaluation results show that the system has significant improvement over unstructured summaries and Google snippets.