We introduce the flexible approach for determining agents’ orientation on ontology mappings (FDO), which provides a flexible mechanism for agents to decide whether or not they support an argument about a mapping. Whilst this results in agents relaxing some preferences over suitable mappings, it produces a larger consensus of possible mappings due to the generation of a greater number of argumen...

Despite numerous efforts, the problem of dynamically reconciling heterogeneity within open distributed multi-agent systems is far from solved. As different systems often use their own vocabularies to express the content of communication messages (ontologies), semantic reconciliation requires some form of agreement over a shared model, obtained through an alignment whereby concepts in the reques...

In this article, we study the emergence of associations between words and concepts using the self-organizing map. In particular, we explore the meaning negotiations among communicating agents. The self-organizing map is used as a model of an agent’s conceptual memory. The concepts are not explicitly given but they are learned by the agent in an unsupervised manner. Concepts are viewed as areas ...

This paper addresses modality classification for multi-issue bargaining dialogues in order to model human-like negotiation behaviour and to efficiently compute negotiation strategies. We propose a modality annotation and classification scheme comprising semantically distinguishable categories applied reliably by humans and machines. Our classification of modality varieties is based on both the ...

Meaning negotiation (MN) is the general process with which agents reach an agreement about the meaning of a set of terms. We give here a general model of MN for two agents, in which each agent discusses with the other one her viewpoint by exhibiting it in an actual set of constraints on the meaning of the negotiated terms. We call this presentation of individual viewpoints an angle. The two age...

Finding a consensus between communities to create an ontology is a difficult task. An evolutionary process where domain experts and knowledge engineers work together intensively is needed to support collaborative communities in defining a common ontology. These communities model their view of a particular concept while knowledge engineers try to find a consensus. Negotiation, finding similariti...

This paper describes an automatic algorithm of meaning negotiation that enables semantic interoperability between local overlapping and heterogeneous ontologies. Rather than reconciling differences between heterogeneous ontologies, this algorithm searches for mappings between concepts of different ontologies. The algorithm is composed of three main steps: (i) computing the linguistic meaning of...