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Title Efficient Evaluation and Approximation of Well-designed Pattern Trees
Authors Pablo Barceló, Reinhard Pichler, Sebastian Skritek
Publication date 2015
Abstract Conjunctive queries (CQs) fail to provide an answer when
the
pattern described by the query does not exactly match the data. CQs might
thus be too restrictive as a querying mechanism when data is semistructured
or incomplete. The semantic web therefore provides a formalism - known as
well-designed pattern trees (WDPTs) - that tackles this problem: WDPTs allow
us to match patterns over the data, if available, but do not fail to give an
answer otherwise. Here we abstract away the specifics of semantic web
applications and study WDPTs over arbitrary relational schemas. Our language
properly subsumes the class of CQs. Hence, WDPT evaluation is intractable.
We identify structural properties of WDPTs that lead to tractability of
various variants of the evaluation problem. For checking if a WDPT is
equivalent to one in our tractable class, we prove 2EXPTIME-membership. As a
corollary, we obtain fixed-parameter tractability of (variants of) the
evaluation problem. Our techniques also allow us to develop a theory of
approximations for WDPTs.
Pages 131-144
Conference name ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems
Publisher ACM Press (New York, NY, USA)
Reference URL View reference page