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Complexity of Conjunctive Regular Path Query Homomorphisms

机译:合取规则路径查询同态的复杂性

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A graph database is a digraph whose arcs are labelled with symbols from a fixed alphabet. A regular graph pattern (RGP) is a digraph whose edges are labelled with regular expressions over the alphabet. RGPs model navigational queries for graph databases, more precisely, conjunctive regular path queries. A match of a navigational RGP query in the database is witnessed by a special navigational homomor-phism of the RGP to the database. We study the complexity of deciding the existence of a homomorphism between two RGPs. Such homomorphisms model a strong type of containment between two navigational RGP queries. We show that this problem can be solved by an EXP-TIME algorithm (while general query containment in this context is EXPSPACE-complete). We also study the problem for restricted RGPs over a unary alphabet, that arise from some applications like XPath, and prove that certain interesting cases are polynomial-time solvable.
机译:图形数据库是一个有向图,其弧线标记有来自固定字母的符号。正则图形模式(RGP)是有向图,其边缘用字母上的正则表达式标记。 RGP对图形数据库的导航查询建模,更确切地说,对常规规则路径查询进行联合建模。 RGP与数据库的特殊导航同构性证明了数据库中导航RGP查询的匹配。我们研究确定两个RGP之间是否存在同态的复杂性。这样的同态性为两个导航RGP查询之间的一种强包含类型建模。我们展示了可以通过EXP-TIME算法解决此问题(而在这种情况下,常规查询包含是EXPSPACE-complete)。我们还研究了由诸如XPath之类的应用程序引起的一元字母上受限的RGP的问题,并证明了某些有趣的情况是多项式时间可解的。

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