  Data integration is an important task in order to create comprehensive RDF
knowledge bases. Many data sources are used to extend a given dataset or to
correct errors. Since several data providers make their data publicly available
only via Web APIs they also must be included in the integration process.
However, APIs often come with limitations in terms of access frequencies and
speed due to latencies and other constraints. On the other hand, APIs always
provide access to the latest data. So far, integrating APIs has been mainly a
manual task due to the heterogeneity of API responses. To tackle this problem
we present in this paper the FiLiPo (Finding Linkage Points) system which
automatically finds connections (i.e., linkage points) between data provided by
APIs and local knowledge bases. FiLiPo is an open source sample-driven schema
matching system that models API services as parameterized queries. Furthermore,
our approach is able to find valid input values for APIs automatically (e.g.
IDs) and can determine valid alignments between KBs and APIs. Our results on
ten pairs of KBs and APIs show that FiLiPo performs well in terms of precision
and recall and outperforms the current state-of-the-art system.
