Name
Title | ||
|---|---|---|
Combining Agents and Ontologies to Support Task-Centred Interoperability in Ambient Intelligent Environments |
Abstract | ||
|---|---|---|
This article describes our approach towards the specification and realization of interoperability within Next Generation Ambient Intelligent Environments (NGAIE). These are populated with numerous devices and multiple occupants or users exhibit increasingly intelligent behaviour, provide optimized resource usage and support consistent functionality and human-centric operation. In NGAIEs users will interact with their environments using the devices therein complemented with adaptive multimodal dialogue. This requires the definition of the local and global information which is relevant to the interaction and mechanisms to share this knowledge among entities. In our approach, knowledge is represented as a set of heterogeneous ontologies which have to be aligned in order to provide a uniform and consistent knowledge representation. The combination of heterogeneous ontologies and ontology matching algorithms allows for semantically rich information exchange. Based on a combination of agent-based and service-oriented architectures, the proposed approach adopts a task-based model to maximize the use of available heterogeneous resources. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISDA.2009.195 | ISDA |
Keywords | Field | DocType |
global information,ambient intelligent environments,semantically rich information exchange,heterogeneous ontology,combining agents,next generation ambient intelligent,users exhibit,available heterogeneous resource,ngaies user,consistent functionality,consistent knowledge representation,computer architecture,human computer interaction,knowledge representation,multi agent systems,information exchange,ontology matching,ontologies,concrete,ontology alignment,service oriented architecture,ubiquitous computing,ambient intelligence,user interfaces | Computer science,Interoperability,Multi-agent system,Human–computer interaction,Artificial intelligence,Ubiquitous computing,Ontology (information science),Ontology alignment,Knowledge representation and reasoning,World Wide Web,Information exchange,User interface,Machine learning | Conference |
ISSN | ISBN | Citations |
2164-7143 | 978-0-7695-3872-3 | 4 |
PageRank | References | Authors |
0.67 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaëtan Pruvost | 1 | 20 | 3.14 |
| Achilles Kameas | 2 | 355 | 50.94 |
| Tobias Heinroth | 3 | 56 | 9.56 |
| Lambrini Seremeti | 4 | 12 | 2.94 |
| Wolfgang Minker | 5 | 619 | 108.61 |