Currently, the majority of matchers are able to establish
simple correspondences between entities, but are
not able to provide complex alignments. Furthermore,
the resulting alignments do not contain additional information
on how they were extracted and formed. Not
only it becomes hard to debug the alignment results,
but it is also difficult to justify correspondences. We
propose a method to generate complex ontology alignments
that captures the semantics of matching algorithms
and human-oriented ontology alignment definition
processes. Through these semantics, arguments that
provide an abstraction over the specificities of the alignment
process are generated and used by agents to share,
negotiate and combine correspondences. After the negotiation
process, the resulting arguments and their relations
can be visualized by humans in order to debug
and understand the given correspondences.(undefined
