Strukturētu datu transformācijas e-komercijā
Loading...
Date
Authors
Advisor
Journal Title
Journal ISSN
Volume Title
Publisher
Latvijas Universitāte
Language
N/A
Abstract
Maģistra darbā pētīti datu apmaiņas un pārveidošanas jautājumi e-komercijas lietojumos, apzinātas ar datu transformāciju saistītās problēmas un ieskicēti iespējamie risinājumi, kā arī izvērtēti transformāciju veidošanas rīki. Vispārīgā gadījumā datu pārveidošanai jānodrošina divus mērķus, pirmkārt, ieejas un izejas datu formātiem jābūt piemērotiem izmantošanai atbilstošajā informatīvajā sistēmā un otrkārt, datiem jāsaglabā semantiskā jēga, t.i., vaicājumiem ieejas un izejas datos jāsniedz saturiski saskanīgas atbildes. Grūtības rodas apstāklī, ka ieejas datu instancei var radīt vai nu daudz, vai nevienu atbilstošu izejas datu instanci. Veidojot darbu, autors iepazinās ar datu transformāciju teoriju un praktiski realizēja vairākas transformācijas ar dažādiem rīkiem, lai analizētu to piemērotību datu pārveidošanas uzdevumu risināšanā.
In this paper, an author analyzes data exchange and transformation related issues which arise in e-commerce. The author identifies and describes various problems and potential solutions. Several data transformation tools have been analyzed and their suitability was assessed. In general data transformations must ensure that input and output data is in format which is suitable for use in respective information system and queries on input and output data instances give consistent answers. Difficulties with data transformation mainly arise because for a given source instance there may be created many or none target instances which satisfy data transformation objective. The author got acquainted with data transformation theory and in practice implemented several transformations with different tools for the analysis of their suitability for data conversion tasks.
In this paper, an author analyzes data exchange and transformation related issues which arise in e-commerce. The author identifies and describes various problems and potential solutions. Several data transformation tools have been analyzed and their suitability was assessed. In general data transformations must ensure that input and output data is in format which is suitable for use in respective information system and queries on input and output data instances give consistent answers. Difficulties with data transformation mainly arise because for a given source instance there may be created many or none target instances which satisfy data transformation objective. The author got acquainted with data transformation theory and in practice implemented several transformations with different tools for the analysis of their suitability for data conversion tasks.