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XML has been developed as a standard data format for information
storage and exchange. In most XML database systems, queries are
processed by searching the hierarchy of each underlying XML
document. Similar to relational databases, most XML documents are
actually designed based on the relationship among such semantic
concepts as object, attribute and value. Moreover, queries are also
issued with concerns of these concepts, e.g., to find the attribute
values of a certain object or to find the relationship between two
objects. This book presents a new approach to process XML queries.
We take semantics as a central concern during XML query processing.
We design semantics-based algorithms to perform pattern matching,
which is the core operation for XML query processing, as well as
grouping and aggregation for analytical queries. We theoretically
and experimentally show the advantage of our semantic approach over
other existing approaches, in terms of query processing
performance. This result should be useful for future research and
applications in XML data management.
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