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Biological Environment For Information Retrieval

Authors: Moheb R. Girgis; Abd El-Mgeid A. Aly; Bahgat A. Abdel Latef; Boutros R. El-Gamil;

Biological Environment For Information Retrieval

Abstract

Heuristic methods based on biological aspects have been successfully used in many computer science areas of research, including information retrieval (IR). This let us ask: why there is no biological environment for the problem of information retrieval. In this paper, we tried to introduce a new biological environment for information retrieval that broad the modeling concept from the mathematical formula that simulates the basic elements of IR problem to their dual schemas in biology. It?s a new way of thinking of, and dealing with, the problem of information retrieval.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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