The paper describes a set of approaches for representing and
cessing information within a semantically structured information
rtal, while offering the possibility to integrate own
formation. It discusses research performed within the project
emantic Methods and Tools for Information Portals (SemIPort)'.
particular, it focuses on (1) the development of scalable
oring, processing and querying methods for semantic data, (2)
sualization and browsing of complex data inventories, (3)
rsonalization and agent-based interaction, and (4) the
hancement of web mining approaches for use within a
mantics-based portal.