A multi-agent system for distributed information retrieval on the World Wide Web

Clark, Keith; Lazarou, V.S.

doi:10.1109/enabl.1997.630796

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…In particular, it is used for nat ural language processing [4][5][6][7] and web information processing [8][9][10]. Agents in these tasks have different behaviors.…”

Section: Introductionmentioning

confidence: 99%

Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

Garanina

Sidorova

2015

Program Comput Soft

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The paper presents an approach to ontology population as operations with Scott information sys tem. The deducibility relation in the ontology population information system corresponds to rules of input data processing and ontology population. To implement an ontology population process, we suggest a multi agent approach based on natural language semantic analysis. In the proposed multi agent model, agents of the following two types interact: information agents corresponding to meaningful units of the information being retrieved and rule agents implementing population rules of the given ontology based on the semanticsyntactic model of the language.

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“…In particular, it is used for nat ural language processing [4][5][6][7] and web information processing [8][9][10]. Agents in these tasks have different behaviors.…”

Section: Introductionmentioning

confidence: 99%

Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

Garanina

Sidorova

2015

Program Comput Soft

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“…A multi-agent approach for information retrieval from heterogeneous data sources for completing ontology is widespread. In particular, it is used for natural language processing [2,1,10,6] and web processing [3,4,5]. Agents in these works have different behaviors.…”

Section: Introductionmentioning

confidence: 99%

An Approach to Model Checking of Multi-agent Data Analysis

Garanina¹,

Bodin²,

Sidorova³

2014

Electron. Proc. Theor. Comput. Sci.

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The paper presents an approach to verification of a multi-agent data analysis algorithm. We base correct simulation of the multi-agent system by a finite integer model. For verification we use model checking tool SPIN. Protocols of agents are written in Promela language and properties of the multiagent data analysis system are expressed in logic LTL. We run several experiments with SPIN and the model.

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A Generic Model for Distributed Real-Time Scheduling Based on Dynamic Heterogeneous Data

Bloodsworth

Greenwood

Nealon

2003

Intelligent Agents and Multi-Agent Systems

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A multi-agent system for distributed information retrieval on the World Wide Web

Cited by 10 publications

References 5 publications

Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

Ontology population as algebraic information system processing based on multi-agent natural language text analysis algorithms

An Approach to Model Checking of Multi-agent Data Analysis

A Generic Model for Distributed Real-Time Scheduling Based on Dynamic Heterogeneous Data

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