XML Information Retrieval Systems: A Survey
Awny Sayed

TL;DR
This survey reviews various XML information retrieval systems, focusing on their structural data exploitation and classification based on storage and query evaluation methods.
Contribution
It provides a comprehensive overview and classification of XML retrieval systems, highlighting their strategies for content-oriented retrieval using structural information.
Findings
Different XML retrieval systems utilize structural information for improved accuracy.
Classification based on storage and query evaluation strategies reveals diverse approaches.
The survey identifies key trends and challenges in XML information retrieval.
Abstract
The continuous growth in the XML information repositories has been matched by increasing efforts in development of XML retrieval systems, in large parts aiming at supporting content-oriented XML retrieval. These systems exploit the available structural information, as market up in XML documents, in order to return documents components- the so called XML elements-instead of the complement documents in repose to the user query. In this paper, we provide an overview of the different XML information retrieval systems and classify them according to their storage and query evaluation strategies.
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Taxonomy
TopicsAdvanced Database Systems and Queries · Data Management and Algorithms · Semantic Web and Ontologies
