Quantum concepts in information retrieval

Author

Archuadze, M. ; Besiashvili, G. ; Khachidze, M. ; Kervalishvili, P.

Author_Institution

Fac. of Exact & Natural Sci., I.Javakhishvili Tbilisi State Univ., Tbilisi, Georgia

fYear

2012

fDate

17-19 Oct. 2012

Firstpage

1

Lastpage

4

Abstract

Quantum information methods are successfully used with classic methods in information retrieval. This paper reviews the formation of quantum concepts, their presentation and storage and comparison methods for algorithms of information retrieval. We survey the representation of quantum concepts with qubits and their comparison methods via quantum logic gates. The paper discusses fuzzy concepts ranking, relevance evaluation and machine learning methods to improve information retrieval.

Keywords

fuzzy set theory; information retrieval; learning (artificial intelligence); logic gates; quantum computing; fuzzy concepts ranking; information retrieval; machine learning methods; quantum concepts; quantum information methods; quantum logic gates; qubits; relevance evaluation; Educational institutions; Estimation; Information retrieval; Ontologies; Quantum computing; Semantics; Trajectory; Semantic value; information retrieval; quantum concepts; relevance;

fLanguage

English

Publisher

ieee

Conference_Titel

Application of Information and Communication Technologies (AICT), 2012 6th International Conference on

Conference_Location

Tbilisi

Print_ISBN

978-1-4673-1739-9

Type

conf

DOI

10.1109/ICAICT.2012.6398524

Filename

6398524