Abstract It is a hallenging task to e iently dis over a relevant business servi e for end-users over the vast Internet. The relevan e of the servi e in a
servi e dis overy an be dependent on its lo ation, the preferen e of a user, or
in general, the ontexts of the servi es and users. However, most of the existing
servi e dis overy methods have not taken ontext information and diverse
user needs into onsideration. We present herewith a pra ti al approa h to
ontext-aware servi e organization and dis overy, where semanti attributes of
servi es and user's ontexts are taken into onsideration during servi e lookup.
Servi es are organized logi ally in two users' perspe tives: lo al and global,
and issues su h as lo al servi e administration and priva y are onsidered in
the system design. To further enhan e the servi e mat hing apability in
Business-to-Business (B2B) settings, i.e., to satisfy dierent per eptions of
requestors, an asymmetri way of omputing Web servi e pro ess similarity is
proposed. The major ontributions of this work are the proposed framework
for supporting ontext-aware servi e organization and dis overy in real time,
and the pro ess mat hing s heme for B2B appli ations.