Open AccessConsidering Structural and Vocabulary Heterogeneity in XML Query: FPTPQ and Holistic Evaluation.
Author(s) -
Brice Nguefack,
Maurice Tchoupé Tchendji,
Thomas Djotio Ndié
Publication year - 2021
Publication title -
international journal of database management systems
Language(s) - English
Resource type - Journals
eISSN - 0975-5985
pISSN - 0975-5705
DOI - 10.5121/ijdms.2021.13601
Subject(s) - computer science , xml , focus (optics) , node (physics) , information retrieval , context (archaeology) , preference , vocabulary , data mining , theoretical computer science , world wide web , mathematics , paleontology , linguistics , statistics , physics , philosophy , structural engineering , optics , biology , engineering
The integration of XML data sources which have different schemas/DTD can originate structural and vocabular heterogeneity. In this context, it is difficult to write satisfiable queries. As a solution, many Information Systems focus on building approximate evaluation techniques for exact queries. As a project, we build flexible and preference XML query languages and associated evaluation algorithms. In this paper, we propose the Flexible Preference Tree Pattern Query (FPTPQ), a new TPQ that allows multiple items/names (resp. paths) for the same node, in order to integrate (resp. to locate) all the different instances of the database nodes. The FPTPQ enable to have preference nodes and ordering operators among label items and paths. We also provide a holistic algorithm that evaluates the FPTPQ and capitalises the preferences to determine the best available solutions. Illustrations and experimentations are realized to show the effectiveness of our solutions.