Effective Keyword Search on XML data- Using FMADM
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 10
Abstract
Efficient state of the art query retrieval systems are implemented over RDBMS databases but not for XML based storages. Fuzzy type-ahead search, though not a new concept for RDBMS based systems, it is a new informationaccess paradigm for XML based systems. Operations involving the system searching the XML repositories on the fly as the user types in query keywords for producing results. Faster querying and results generation is the vital aspect of using XML storages. Prior systems used LCA-based (Lowest Common Ancestors) algorithms for implementing Fuzzy typeahead search search and Minimal-Cost Tree based techniques for relevant results over xml data. Minimal Cost Tree approaches are efficient as long as the query keywords are singular or dual utmost. As the number of attributes in the keyword for fuzzy query increases Minimal-Cost Tree construction is a expensive process. So we propose to use Fuzzy Multiple Attribute Decision Making (FMADM) algorithm involving data conflict resolution based on subjective and objective weighting methods. Based on the FMADM algorithm we intend to support multi attribute based queries over xml data with reduced computations. A practical implementation of the proposed system validates our claim.
Authors and Affiliations
Voora V V Eswari Lakshmi Devi , V. Bala Sankar
Keywords
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