In the deeply interconnected world we live in, pieces of information link
domains all around us. As graph databases embrace effectively relationships
among data and allow processing and querying these connections efficiently,
they are rapidly becoming a popular platform for storage that supports a wide
range of domains and applications. As in the relational case, it is expected
that data preserves a set of integrity constraints that define the semantic
structure of the world it represents. When a database does not satisfy its
integrity constraints, a possible approach is to search for a 'similar'
database that does satisfy the constraints, also known as a repair. In this
work, we study the problem of computing subset and superset repairs for graph
databases with data values using a notion of consistency based on a set of
Reg-GXPath expressions as integrity constraints. We show that for positive
fragments of Reg-GXPath these problems admit a polynomial-time algorithm, while
the full expressive power of the language renders them intractable.

研究在使用 Reg-GXPath 表达式作为完整性约束的图形数据库中，基于数据值计算子集和超集的修复问题，发现在正面的 Reg-GXPath 碎片中，这些问题具有多项式时间算法，而语言的完整表现力使它们成为难以处理的问题。