Track: Search
Paper Title:
Automatic Searching of Tables in Digital Libraries
Authors:
Abstract:
Tables are ubiquitous. Unfortunately, no search engine supports
table search. In this paper, we propose a novel table specific
searching engine, TableSeer, to facilitate the table
extracting, indexing, searching, and sharing. In addition, we
propose an extensive set of medium-independent metadata to precisely
present tables. Given a query, TableSeer ranks the returned
results using an innovative ranking algorithm -- TableRank
with a tailored vector space model and a novel term weighting
scheme. Experimental results show that TableSeer outperforms
existing search engines on table search. In addition, incorporating
multiple weighting factors can significantly improve the ranking
results.
