The development of the semantic web ensures that the facilitation of agent communication is an issue of increasing importance. It is usually assumed that agents are using the same ontology and hence can understand one another, but the dynamic and distributed nature of the semantic web mean that this is not always a valid assumption. In this paper, we describe a system under construction that can dynamically discover ontological mismatches between agents during communication and then re- fine them, so that communication between these agents is facilitated
Modern information systems extensively use ontologies to model domain knowledge. Nowadays, with the...
Software agents interact to solve tasks, the details of which need to be described in a language un...
Modern information systems extensively use ontologies to model domain knowledge. With the large amou...
In this paper we tackle the problem of semantic heterogeneity in multi-agent communication, i.e., wh...
When agents transfer information, they need a conceptualisation of the domain of interest and a shar...
trojahn2011aInternational audienceWithin open, distributed and dynamic environments, agents frequent...
vandenberg2020aInternational audienceOntology alignments enable agents to communicate while preservi...
In this paper, we propose an alternative solution for approaching the problem of semantic interopera...
Agents in open systems interact continuously, each possibly having a different ontology. Mapping in ...
Agent communication languages such as ACL and KQML provide a standard for agent communication. These...
euzenat2017bInternational audienceAgents may use different ontologies for representing knowledge and...
Ontologies are extensively used to strcuture the domain knowledge. Nowadays, with the large amount o...
Efficient agent communication in open and dynamic environments relies on the agents ability to reach...
Ontologies are widely used as data representations for knowledge bases and marking up data on the em...
Abstract. In this paper, we will consider the alignment of heterogeneous ontologies in multi agent s...
Modern information systems extensively use ontologies to model domain knowledge. Nowadays, with the...
Software agents interact to solve tasks, the details of which need to be described in a language un...
Modern information systems extensively use ontologies to model domain knowledge. With the large amou...
In this paper we tackle the problem of semantic heterogeneity in multi-agent communication, i.e., wh...
When agents transfer information, they need a conceptualisation of the domain of interest and a shar...
trojahn2011aInternational audienceWithin open, distributed and dynamic environments, agents frequent...
vandenberg2020aInternational audienceOntology alignments enable agents to communicate while preservi...
In this paper, we propose an alternative solution for approaching the problem of semantic interopera...
Agents in open systems interact continuously, each possibly having a different ontology. Mapping in ...
Agent communication languages such as ACL and KQML provide a standard for agent communication. These...
euzenat2017bInternational audienceAgents may use different ontologies for representing knowledge and...
Ontologies are extensively used to strcuture the domain knowledge. Nowadays, with the large amount o...
Efficient agent communication in open and dynamic environments relies on the agents ability to reach...
Ontologies are widely used as data representations for knowledge bases and marking up data on the em...
Abstract. In this paper, we will consider the alignment of heterogeneous ontologies in multi agent s...
Modern information systems extensively use ontologies to model domain knowledge. Nowadays, with the...
Software agents interact to solve tasks, the details of which need to be described in a language un...
Modern information systems extensively use ontologies to model domain knowledge. With the large amou...