Current Semantic Web implementation efforts pose a number of
challenges. One of the big ones among them is development and
evolution of specific resources --- the ontologies --- as a
base for representation of the meaning of the web. This paper
deals with the automatic acquisition of semantic relations from
the text of scientific publications (journal articles,
conference papers, project descriptions, etc.). We also
describe the process of building of corresponding ontological
resources and their application for semi--automatic generation
of scientific portals. Extracted relations and ontologies are
crucial for the structuring of the information at the portal
pages, automatic classification of the presented documents as
well as for personalisation at the presentation level. Besides
a general description of the portal generating system, we give
also a detailed overview of extraction of semantic relations in
the form of a domain--specific ontology. The overview consists
of presentation of an architecture of the ontology extraction
system, description of methods used for mining of semantic
relations and analysis of selected results and examples.
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