  Linked Data have emerged as a successful publication format and one of its
main strengths is its fitness for integration of data from multiple sources.
This gives them a great potential both for semantic applications and the
enterprise environment where data integration is crucial. Linked Data
integration poses new challenges, however, and new algorithms and tools
covering all steps of the integration process need to be developed. This paper
explores Linked Data integration and its specifics. We focus on data fusion and
conflict resolution: two novel algorithms for Linked Data fusion with
provenance tracking and quality assessment of fused data are proposed. The
algorithms are implemented as part of the ODCleanStore framework and evaluated
on real Linked Open Data.
