Understanding computers and cognition
Understanding computers and cognition
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
WordNet: a lexical database for English
Communications of the ACM
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
IEEE Intelligent Systems
Language Games for Autonomous Robots
IEEE Intelligent Systems
IEEE Internet Computing
FSA Utilities: A Toolbox to Manipulate Finite-State Automata
WIA '96 Revised Papers from the First International Workshop on Implementing Automata
Interaction is meaning: a new model for communication in open systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Semantics for an agent communication language
Semantics for an agent communication language
Ontology mapping: the state of the art
The Knowledge Engineering Review
The Knowledge Engineering Review
Ontology Matching
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Argumentation over ontology correspondences in MAS
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Ontology negotiation: goals, requirements and implementation
International Journal of Agent-Oriented Software Engineering
Conjunctive queries for ontology based agent communication in MAS
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Ontologies and the semantic web
Communications of the ACM - Surviving the data deluge
I-SSA: Interaction-Situated Semantic Alignment
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Discovering Pragmatic Similarity Relations between Agent Interaction Protocols
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
Exploring the Semantic Web as Background Knowledge for Ontology Matching
Journal on Data Semantics XI
Approximate structure preserving semantic matching
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
mWater: a Sandbox for Agreement Technologies
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Dynamic selection of ontological alignments: a space reduction mechanism
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Engineering open environments with electronic institutions
Engineering Applications of Artificial Intelligence
Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation
IEEE Transactions on Knowledge and Data Engineering
How service choreography statistics reduce the ontology mapping problem
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Engineering trust alignment: Theory, method and experimentation
International Journal of Human-Computer Studies
Towards adaptive normative systems for communities of agents
Web Intelligence and Agent Systems - Web Intelligence and Communities
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We tackle the problem of semantic heterogeneity in the context of agent communication and argue that solutions based solely on ontologies and ontology matching do not capture adequately the richness of semantics as it arises in dynamic and open multiagent systems. Current solutions to the semantic heterogeneity problem in distributed systems usually do not address the contextual nuances of the interaction underlying an agent communication. The meaning an agent attaches to its utterances is, in our view, very relative to the particular dialogue in which it may be engaged, and that the interaction model specifying its dialogical structure and its unfolding should not be left out of the semantic alignment mechanism. In this article we provide the formal foundation of a novel, interaction-based approach to semantic alignment, drawing from a mathematical construct inspired from category theory that we call the communication product. In addition, we describe a simple alignment protocol which, combined with a probabilistic matching mechanism, endows an agent with the capacity of bootstrapping - by repeated successful interaction - the basic semantic relationship between its local vocabulary and that of another agent. We have also implemented the alignment technique based on this approach and prove its viability by means of an abstract experimentation and a thorough statistical analysis.