|Title||Intuitionistic fuzzy XML query matching|
|Authors||Chountas, P., Alzebdi, M. and Atanassov, K.|
As the popularity of XML as a de facto standard for data representation and communication is rising, a need has been identified for efficient XML querying techniques that can overcome the dilemma of diversity in the structure of XML data sources. In this work, we propose our approach of using Intuitionistic Fuzzy Trees (IFTr) to achieve approximate XML query matching, making the query result include not just the XML data trees that exactly match the query, but also the ones that partially match it. Our approach has a potential to return useful query answers while pertaining good performance. Users will have the option to choose between quick and less accurate results or time costing and more accurate results.
|Keywords||Intuitionistic Fuzzy Trees, Tree Similarity(Inclusion), Pattern Trees|
|Conference||9th International Conference, FQAS 2011|
|Published||14 Oct 2011|
|Book title||Flexible Query Answering Systems: 9th International Conference, FQAS 2011|
|Digital Object Identifier (DOI)||https://doi.org/10.1007/978-3-642-24764-4_27|