Abstract | ||
---|---|---|
The paper proposes an analysis on some existent ontologies, in order to point
out ways to resolve semantic heterogeneity in information systems. Authors are
highlighting the tasks in a Knowledge Acquisiton System and identifying aspects
related to the addition of new information to an intelligent system. A solution
is proposed, as a combination of ontology reasoning services and natural
languages generation. A multi-agent system will be conceived with an extractor
agent, a reasoner agent and a competence management agent. |
Year | Venue | Keywords |
---|---|---|
2009 | Clinical Orthopaedics and Related Research | artificial intelligent,information system,multi agent system |
Field | DocType | Volume |
Ontology (information science),Information system,Data mining,Intelligent agent,Semantic reasoner,Computer science,Natural language,Extractor,Management agent,Semantic heterogeneity | Journal | abs/0905.4 |
ISSN | Citations | PageRank |
Ann. Univ. Tibiscus Comp. Sci. Series VII(2009),79-88 | 2 | 0.41 |
References | Authors | |
8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alexandru Cicortas | 1 | 2 | 2.78 |
Victoria Stana Iordan | 2 | 2 | 0.41 |
Alexandra Emilia Fortis | 3 | 7 | 4.20 |