Title:

STORING BIG DATA USING NATURALLANGUAGE ADDRESSING

Author:

Markov Krassimir

Type:

Conference

Co-author(s) :

Ivanova Krassimira ; Vanhoof Koen ; Depaire Benoit ; Velychko Vitalii ; Castellanos Juan ; Aslanyan Levon ; Karastanev Stefan

Uncontrolled Keywords:

big data ; Natural Language Addressing

Abstract:

Three characteristics define Big Data: volume, variety, and velocity [28]. An approach for storing Big Data is presented in the paper. It is called “Natural Language Addressing” [18; 19]. Its main idea is to use internal encoding of letters of a word or phrase as elements of co-ordinate vector which may be used as hyper-space address of the information connected to this word or phrase. As result the standard indexing and recompilation of information base are avoided and main problems of storing Big Data (Volume, Velocity, and Variety) can be solved.

Language:

English

URL:


Country:

Bulgaria

Year:

2014

Time period:

June 27-29

Conference title:

INFORMATICS IN THE SCIENTIFIC KNOWLEDGE INTERNATIONAL SCIENTIFIC CONFERENCE

Place:

Varna

Participation type:

oral