Name
Abstract | ||
|---|---|---|
In a net-centric world, systems will be required to fuse data from geographically dispersed, heterogeneous information sources operating asynchronously, to produce up-to-date, mission-relevant knowledge to inform commanders. Realizing this vision requires overcoming a number of technical challenges. Among these is the need for semantic interoperability among systems with different internal data models and vocabularies. Ontologies are seen as a key enabling technology for semantic interoperability. Although information fusion by nature involves reasoning under uncertainty, traditional ontology formalisms provide no principled means of reasoning under uncertainty. This paper proposes the use of probabilistic ontologies within a service-oriented architecture as a means to enable semantic interoperability in net-centric fusion systems. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICIF.2007.4408012 | Fusion |
Keywords | Field | DocType |
semantic interoperability.,multi-entity bayesian networks,fusion,service-oriented architecture,probabilistic ontology,fuses,web services,bayesian methods,data models,ontologies,service oriented architecture,data model,uncertainty,open systems,data mining,software architecture,semantic interoperability | Data science,Data modeling,Ontology,Computer science,Net-centric,Semantic interoperability,Artificial intelligence,Probabilistic logic,Ontology (information science),Information retrieval,Software architecture,Upper ontology,Machine learning | Conference |
Citations | PageRank | References |
3 | 0.40 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kathryn Blackmond-Laskey | 1 | 851 | 109.86 |
| Paulo C. G. da Costa | 2 | 3 | 0.40 |
| Edward J. Wright | 3 | 8 | 1.66 |
| Colshire Drive | 4 | 3 | 0.40 |