2015 13th International Conference on Frontiers of Information Technology (FIT) (2015)
Dec. 14, 2015 to Dec. 16, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2015.20
Search engines use indexing schemes to index documents for efficient search and retrieval. However these search engines, take XML documents as a unit and ignore the fact that XML documents may contain records and objects that are required to be indexed in parts. Indexing XML documents as a whole, may result in irrelevant and inaccurate results to a query. In this paper, we have defined a technique used to store and index XML documents using advantages of RDBMS in order to overcome weakness in XML based search engines. This indexing scheme preserves the information related to the document structure, which is helpful in defining the semantic of the document. This incorporation of structural information enables the semantic base retrieval in context of XML documents, which in return, helps in retrieving the accurate/relevant results. To demonstrate the working of indexing scheme, a case study with examples is also exhibited.
XML, Indexing, Semantics, Relational databases, Reliability
I. Ihsan and M. A. Qadir, "Querying Semantically Related Items Using Modified 4-Index Scheme for XML Documents," 2015 13th International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2015, pp. 47-52.