Name
Title | ||
|---|---|---|
A Framework to Improve Semantic Web Services Discovery and Integration in an E-Gov Knowledge Network |
Abstract | ||
|---|---|---|
One of the major challenges in Semantic Web Service (SWS) technology is the improvement of the services matching process. This challenge is a critical issue to promote systems interoperability in the context of Scienti Network (SN), an international knowledge network in Science & Technology (S&T) [1]. We have been working on a framework to tackle this problem in the context of IRS-II SWS infrastructure. This framework (SeGOV), comprehends a set of ontologies to describe services in functional layers in order to allow their matching and improve their capabilities. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30202-5_49 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Ontology (information science),Systems interoperability,Data mining,World Wide Web,Semantic web services,Semantic Web Stack,Computer science,Knowledge management,Service layer,Social Semantic Web | Conference | 3257 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.41 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Denilson Sell | 1 | 87 | 10.84 |
| Liliana Cabral | 2 | 438 | 38.45 |
| Alexandre L. Gonçalves | 3 | 17 | 6.22 |
| Enrico Motta | 4 | 4216 | 391.29 |
| Roberto Carlos Dos Santos Pacheco | 5 | 8 | 2.71 |