The field of Geographical Information Systems (GIS) has experienced a rapid and ongoing
growth of available sources for geospatial data. This growth has demanded more data …

One difficulty in integrating geospatial data sets from different sources is variation in feature
classification and semantic content of the data. One step towards achieving beneficial …

With the advance of the Semantic Web, the need to integrate and combine data from
different sources has increased considerably. Many efforts have focused on RDF document …

In recent years, systems have been developed which enable users to produce, share and
update information on the web effectively and freely as User Generated Content (UGC) data …

Abstract Concept matching is important when heterogeneous data sources are to be merged
for the purpose of knowledge sharing. It has many useful applications in areas such as …

With the advance of the Semantic Web and the Open Linked Data initiatives, a huge quantity
of RDF data is available on the Web. The goal is to make this data readable for humans and …

Nowadays, the need for very up to date authoritative spatial data has significantly increased.
Thus, to fulfill this need, a continuous update of authoritative spatial datasets is a necessity …

Abstract Knowledge matching is an important problem for many emerging applications in
many areas including scientific knowledge management, ontology matching, e-commerce …