Страница публикации

Software Development for Rule-Based Spreadsheet Data Extraction and Transformation

Тип публикации: Статья в журнале

Тип материала: Текст

Авторы: Shigarov A., Khristyuk V., Mikhailov A., Paramonov V.

Журнал: IEEE: Proc. 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

Язык публикации: english

Серия книг: IEEE

Номера страниц: 1132-1137

Количество страниц: 6

Год публикации: 2019

Отчетный год: 2019

DOI: 10.23919/MIPRO.2019.8756829

Аннотация: The paper proposes a knowledge-based software platform to generate applications for spreadsheet data extraction and transformation. The platform includes a flexible table object model and a domain-specific language for expressing user-defined rules of table analysis and interpretation. They serve to represent knowledge of table layout and content features, as well as their interpretation, depended on transformation goals. The platform enables translating such user defined rules to Java programs. The generated source code is serialized as a project prepared for building an executable application by using the Maven tool. The execution of the generated application transforms spreadsheet data from arbitrary form defined by the rules to the canonical one. The empirical results demonstrate the applicability of the software platform to develop applications for converting data from arbitrary spreadsheet tables originated from various domains to relational flat file databases.

Индексируется WOS: Q5

Индексируется Scopus: Нет

Индексируется УБС: Нет

Индексируется РИНЦ: Да

Индексируется ВАК: Нет

Индексируется CORE: Нет