ABSTRACT
Data integration has gained increasing importance with the growing
volume of available data (so-called Big Data). It allows to put
data from different sources together in an aligned way, so meaningful
information can be extracted. Scientific publications are available
in several data sources along the Internet. Integrating data from
these distributed sources faces a challenge, mainly if we consider
the heterogeneous aspects inherent to the structure/schema and
the semantics of data. This paper presents a semantic integration
initiative for integrating data from three distinct scientific publication
sources into a shared repository. The integration process
is conducted by a systematic approach that creates and applies a
well-founded domain ontology to address the semantic aspects and
to map concepts, relations, and data between the different data
sources. As a final result, a web tool was built over the integrated
repository to support some final user queries.