Cost-based query optimization is central to database systems, but is rarely used outside of this context. In this paper, the authors consider tex-centric data retrieval and integration tasks, and propose a cost model for such tasks. Using this cost model, it is possible to estimate the cost of alternative query plans, and thereby make an informed decision between them.

Even if it turns out that the cost models are inadequate, this paper still has made a significant contribution in bringing classic query optimization ideas to bear on a new and important problem domain. To the extent that the cost models turn out to be good approximations of reality, this paper is even more impactful.