We propose a novel multi-dimensional search approach that allows users to perform fuzzy searches for structure and metadata conditions in addition to keyword conditions. Our techniques individually score each dimension and integrate the three dimension scores into a meaningful unified score. We also design indexes and algorithms to efficiently identify the most relevant files that match multi-dimensional queries. We perform a thorough experimental evaluation of our approach and show that our relaxation and scoring framework for fuzzy query conditions in non content dimensions can significantly improve ranking accuracy. We also show that our query processing strategies perform and scale well, making our fuzzy search approach practical for every day usage.
Narayana, M Raja; Sasikala, B; and Balakrishna, N
"Efficient Multi Dimensional Nodal Fuzzy Search for Information Management System,"
Interscience Management Review: Vol. 3:
2, Article 7.
Available at: https://www.interscience.in/imr/vol3/iss2/7