Title :
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
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;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2012 6th International Conference on
Conference_Location :
Tbilisi
Print_ISBN :
978-1-4673-1739-9
DOI :
10.1109/ICAICT.2012.6398524
