Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tables are ubiquitous in digital libraries. In scientific documents, tables are widely used to present experimental results or statistical data in a condensed fashion. Hover, current search engines do not support table search. The difficulty of automatic extracting tables from un-tagged documents, the lack of a universal table metadata specification, and the limitation of the existing ranking schemes make table search problem challenging. ,  describe  TableSeer , a search engine for tables.  TableSeer  crawls digital libraries, detects tables from documents, extracts tables metadata, indexes and ranks tables, and provides a user-friendly search interface.  propose an extensive set of medium-independent metadata for tables that scientists and other users can adopt for representing table information. In addition,  devise a novel page  box-cutting  method to improve the performance of the table detection. Given a query,  TableSeer  ranks the matched tables using an innovative ranking algorithm -  TableRank .  TableRank  rates each ⃭query, tableℂ pair with a tailored vector space model and a specific term ighting scheme. Overall,  TableSeer  eliminates the burden of manually extract table data from digital libraries and enables users to automatically examine tables.  demonstrate the value of  TableSeer  with empirical studies on scientific documents.
['Ying Liu', 'Kun Bai', 'Prasenjit Mitra', 'C. Lee Giles']
I am writing a research paper on a idea TableSeer: automatic table metadata extraction and searching in digital libraries
[{"from": "human", "value": "I am writing a research paper on a idea TableSeer: automatic table metadata extraction and searching in digital libraries"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Tables are ubiquitous in digital libraries. In scientific documents, tables are widely used to present experimental results or statistical data in a condensed fashion. Hover, current search engines do not support table search. The difficulty of automatic extracting tables from un-tagged documents, the lack of a universal table metadata specification, and the limitation of the existing ranking schemes make table search problem challenging. ,  describe  TableSeer , a search engine for tables.  TableSeer  crawls digital libraries, detects tables from documents, extracts tables metadata, indexes and ranks tables, and provides a user-friendly search interface.  propose an extensive set of medium-independent metadata for tables that scientists and other users can adopt for representing table information. In addition,  devise a novel page  box-cutting  method to improve the performance of the table detection. Given a query,  TableSeer  ranks the matched tables using an innovative ranking algorithm -  TableRank .  TableRank  rates each \u20edquery, table\u2102 pair with a tailored vector space model and a specific term ighting scheme. Overall,  TableSeer  eliminates the burden of manually extract table data from digital libraries and enables users to automatically examine tables.  demonstrate the value of  TableSeer  with empirical studies on scientific documents."}]