Towards holistic Web-based information retrieval: an agent-based approach

OntoTrader: An Ontological Web Trading Agent Approach for Environmental Information Retrieval

The Scientific World JOURNAL ◽

10.1155/2014/560296 ◽

2014 ◽

Vol 2014 ◽

pp. 1-25 ◽

Cited By ~ 3

Author(s):

Luis Iribarne ◽

Nicolás Padilla ◽

Rosa Ayala ◽

José A. Asensio ◽

Javier Criado

Keyword(s):

Information Retrieval ◽

Experimental Testing ◽

Third Party ◽

Web Based ◽

Agent Based ◽

Testing Environment ◽

Response Information ◽

Open Distributed Systems ◽

Trading Agent ◽

Types Of Information

ModernWeb-based Information Systems(WIS) are becoming increasingly necessary to provide support for users who are in different places with different types of information, by facilitating their access to the information, decision making, workgroups, and so forth. Design of these systems requires the use of standardized methods and techniques that enable a common vocabulary to be defined to represent the underlying knowledge. Thus, mediation elements such astradersenrich the interoperability of web components in open distributed systems. These traders must operate with otherthird-partytraders and/or agents in the system, which must also use a common vocabulary for communication between them. This paper presents theOntoTraderarchitecture, anOntological Web Tradingagent based on the OMG ODP trading standard. It also presents the ontology needed by some system agents to communicate with the trading agent and the behavioral framework for the SOLERESOntoTraderagent, anEnvironmental Management Information System(EMIS). This framework implements a “Query-Searching/Recovering-Response” information retrieval model using a trading service, SPARQL notation, and the JADE platform. The paper also presents reflection, delegation and, federation mediation models and describes formalization, an experimental testing environment in three scenarios, and a tool which allows our proposal to be evaluated and validated.

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A Different Approach to Information Provision and Retrieval

Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI ◽

10.29173/cais41 ◽

2013 ◽

Author(s):

Stephen Marsh

Keyword(s):

Information Retrieval ◽

Information Provision ◽

Web Based ◽

Amount Of Information

Information retrieval finds itself at an interesting juncture, where the amount of information that is available to people increases every day from its already bewildering limit. The problem is how to get the information we need in a timely and efficient fashion, without delivering useless or unwanted information. Current Web-Based IR systems do their best, but they will find it increasingly. . .

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