A Proposal for Modelling Agrifood Chains as Multi Agent Systems

In the aim of evaluating and improving link quality in bibliographical knowledge bases, we develop a decision support system based on partitioning semantics. The novelty of our approach consists in using symbolic values criteria for partitioning and suitable partitioning semantics. In this paper we evaluate and compare the above mentioned semantics on a real qualitative sample. This sample is issued from the catalogue of French university libraries (SUDOC), a bibliographical knowledge base maintained by the University Bibliographic Agency (ABES).

[1]  Michael Wooldridge,et al.  On the logic of cooperation and propositional control , 2005, Artif. Intell..

[2]  Madalina Croitoru,et al.  Decision support for agri-food chains: A reverse engineering argumentation-based approach , 2015, Ecol. Informatics.

[3]  Yoav Shoham,et al.  Marginal contribution nets: a compact representation scheme for coalitional games , 2005, EC '05.

[4]  Nathalie Pernelle,et al.  An automatic key discovery approach for data linking , 2013, J. Web Semant..

[5]  Frehiwot Fisseha,et al.  Reengineering Thesauri for New Applications: The AGROVOC Example , 2006, J. Digit. Inf..

[6]  Jens Lehmann,et al.  Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal , 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

[7]  Sarit Kraus,et al.  Formation of overlapping coalitions for precedence-ordered task-execution among autonomous agents * , 1996 .

[8]  Michael Luck,et al.  Graphical norms via conceptual graphs , 2012, Knowl. Based Syst..

[9]  Madalina Croitoru,et al.  An argumentation system for eco-efficient packaging material selection , 2015, Comput. Electron. Agric..

[10]  Nathalie Pernelle,et al.  Defining Key Semantics for the RDF Datasets: Experiments and Evaluations , 2014, ICCS.

[11]  Madalina Croitoru,et al.  Introducing Preference-Based Argumentation to Inconsistent Ontological Knowledge Bases , 2015, PRIMA.

[12]  Srdjan Vesic,et al.  Two Roles of Preferences in Argumentation Frameworks , 2011, ECSQARU.

[13]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[14]  Madalina Croitoru,et al.  A Decision Support System to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach , 2015, Comput. Electron. Agric..

[15]  Abdallah Arioua,et al.  Formalizing Explanatory Dialogues , 2015, SUM.

[16]  Abdallah Arioua,et al.  On Conceptual Graphs and Explanation of Query Answering under Inconsistency , 2014, ICCS.

[17]  Catherine Pelachaud,et al.  The TARDIS Framework: Intelligent Virtual Agents for Social Coaching in Job Interviews , 2013, Advances in Computer Entertainment.

[18]  Diego Calvanese,et al.  Ontology-Based Data Access and Integration , 2018, Encyclopedia of Database Systems.

[19]  Maurizio Vincini,et al.  Semantic annotation of the CEREALAB database by the AGROVOC linked dataset , 2015, Ecol. Informatics.

[20]  Yann Chevaleyre,et al.  Multiagent resource allocation , 2005, The Knowledge Engineering Review.

[21]  Madalina Croitoru,et al.  A Food Packaging Use Case for Argumentation , 2014, MTSR.

[22]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[23]  Diane J. Cook,et al.  Flexible Social Laws , 1995, IJCAI.

[24]  Abdallah Arioua,et al.  Query Failure Explanation in Inconsistent Knowledge Bases: A Dialogical Approach , 2014, SGAI Conf..

[25]  Madalina Croitoru,et al.  Arguing with Preferences in EcoBioCap , 2012, COMMA.

[26]  Madalina Croitoru,et al.  Conflicting viewpoint relational database querying: an argumentation approach , 2014, AAMAS.

[27]  Reza Olfati-Saber,et al.  Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.

[28]  Madalina Croitoru,et al.  Eco-Efficient Packaging Material Selection for Fresh Produce: Industrial Session , 2014, ICCS.

[29]  Maurizio Lenzerini,et al.  Inconsistency-Tolerant Semantics for Description Logics , 2010, RR.

[30]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.

[31]  Sebastian Rudolph,et al.  Walking the Complexity Lines for Generalized Guarded Existential Rules , 2011, IJCAI.

[32]  A. Roadmapof.  A Roadmap of Agent Research and Development , 1995 .

[33]  Margherita Sini,et al.  From AGROVOC to the Agricultural Ontology Service / Concept Server - An OWL Model for Creating Ontologies in the Agricultural Domain , 2006, OWLED.

[34]  Madalina Croitoru,et al.  A Practical Application of Argumentation in French Agrifood Chains , 2014, IPMU.

[35]  Madalina Croitoru,et al.  Bio-Sourced and Biodegradable Packaging design Using Argumentation to Aggregate Stakeholder Preferences , 2011 .

[36]  Pascal Neveu,et al.  Ontology-Based Model for Food Transformation Processes - Application to Winemaking , 2014, MTSR.

[37]  Abdallah Arioua,et al.  Query Answering Explanation in Inconsistent Datalog +/- Knowledge Bases , 2015, DEXA.

[38]  Dickson Lukose,et al.  World-Wide Semantic Web of Agriculture Knowledge , 2012 .