Algorithms, methods and approaches to details and enrich data, including personal data

This article presents the results of a study algorithms, methods and approaches to depersonalization enrichment data, including personal data. Among types data enrichment, demographic, geographic behavioral enrichments were considered, as well statistical, semantic pragmatic algorithms studied. In addition categories ontology namely expressive ontologies, lightweight ontologies such taxonomies, category that includes works use reasoning partially replace traditional knowledge extraction. Ontology is broad area research can be divided into three work devoted extracting from heterogeneous As result analysis, it was found processes optimize sales, reduce business costs, by saving finances through information management. The advantages disadvantages considered presented. main benefit fortification increased value accuracy helps companies make important decisions. disadvantage risk growing redundant which lead incorrect analytics and, accordingly, wrong decisions, in turn harms business. significance analysis also presented – on basis studies carried out, planned form technical proposal for creating basic infrastructure project NTI Central Committee "Trusted Information Exchange Environment" further topic depersonalization.