Semantic service discovery based on parametric dependency relations
Ho-Young Han, Yeon‐Seok Kim, Kyong-Ho Lee · 2011
As the number of Web services has increased, how to locate services becomes an important research issue. Previous works for semantic Web services discovery have been proposed. Since they lack a sophisticated scheme of specifying services' advertisements and users' requirements, they may not discover services, which satisfy the intention of service requesters. To resolve this problem, we propose a noble scheme to represent and utilize the dependency between I/O parameters. In addition to the conventional semantic matchmaking of I/O parameters, the dependency relations among them are also considered. From experimental results we can find that the proposed method based on the parametric dependency relations performs better than previous works.