Abstract
The main intent of this work is to propose an intelligent interface that facilitates agent interaction in homogenous as well as heterogeneous ontologies. Literature survey indicates that there exist mapping mechanisms serving well for homogenous domains but very few researchers have made an attempt to propose a mapping interface for heterogeneous domains that is possessed with learning abilities and is therefore adaptive by nature. This work uniquely contributes towards the future vision of an intelligent and adaptive mapping mechanism that not only overcomes the curse of already existing mapping mechanisms but also is time efficient. The performance of the proposed strategy has been evaluated and compared with the existing strategies in the related fields and the results are found be to be competitive.
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Singh, A., Juneja, D., Sharma, A.K. (2011). Design of an Intelligent and Adaptive Mapping Mechanism for Multiagent Interface. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds) High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22577-2_51
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DOI: https://doi.org/10.1007/978-3-642-22577-2_51
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