ADAPTIVE INFORMATION PROCESSING IN A DOMAIN ONTOLOGY USING RECURSIVE TRANSFER FUNCTIONS TO DETERMINE THE NON-DETERMINISTIC VICINITY OF INTELLIGENT AGENTS

Muthu Chithambara Jothi, Kabilan Giridharan

Abstract

An adaptive walk over a semantic network is possible by describing the domain information in the form of ontology. Leveraging the relationships made between the domain entities by intelligent agents through non-deterministic automation in an object model which is represented in the form of OWL or RDF resource, is the theme of this paper. The successful adaptive walk over a semantic network is with the advent of determining the vicinity of the intelligent agent based on analysing the current service it received, with the prime goal it needs to achieve. The idea of recursive transfer functions is to make the agents travel in the semantic network until the final goal is achieved. The recursive transfer functions takes the current service received from an entity in the semantic network as its parameter and applies the light of the prime goal in order to achieve the next set of possible states. The next set of possible states lie in the similar line of the prime goal to be achieved. The adaptive walk over semantic network aids the agents to act as proxies for human beings there by fulfilling the business needs for the human beings by travelling the vast network of interconnected web resources.

References

  1. Grigoris Antoniou and Frank Van Harmelen.,2004 A Semantic Web Primer, The MIT Press Cambridge, Massachusetts.
  2. Michael Sisper., 1997. Introduction to theory of Computation, Thomson Brooks/Cole. Singapore 1st reprint.
  3. Raghu Arunachalam, Norman Sadeh, Joakim Eriksson, Niclas Finne and Sverker Janson., 2003 in paper The Trading Agent Competition Supply Chain Management Game, Institute for Software Research International School of Computer Science, Carnegie Mellon University
  4. Joakim Eriksson, Niclas Finne, and Sverker Janson., 1998 in paper SICS MarketSpace - An Agent-Based Market Infrastructure from Intelligent Systems Laboratory Swedish Institute of Computer Science
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Paper Citation


in Harvard Style

Chithambara Jothi M. and Giridharan K. (2007). ADAPTIVE INFORMATION PROCESSING IN A DOMAIN ONTOLOGY USING RECURSIVE TRANSFER FUNCTIONS TO DETERMINE THE NON-DETERMINISTIC VICINITY OF INTELLIGENT AGENTS . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-972-8865-91-7, pages 315-319. DOI: 10.5220/0002397603150319


in Bibtex Style

@conference{iceis07,
author={Muthu Chithambara Jothi and Kabilan Giridharan},
title={ADAPTIVE INFORMATION PROCESSING IN A DOMAIN ONTOLOGY USING RECURSIVE TRANSFER FUNCTIONS TO DETERMINE THE NON-DETERMINISTIC VICINITY OF INTELLIGENT AGENTS},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2007},
pages={315-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002397603150319},
isbn={978-972-8865-91-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - ADAPTIVE INFORMATION PROCESSING IN A DOMAIN ONTOLOGY USING RECURSIVE TRANSFER FUNCTIONS TO DETERMINE THE NON-DETERMINISTIC VICINITY OF INTELLIGENT AGENTS
SN - 978-972-8865-91-7
AU - Chithambara Jothi M.
AU - Giridharan K.
PY - 2007
SP - 315
EP - 319
DO - 10.5220/0002397603150319