A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching Approach

Rao, Chinta Someswara; Balakrishna, Adavi; Raju, M. B.; Raju, S. Viswanadha

doi:10.1007/s40745-016-0092-x

Cited by 1 publication

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is widely recognized that building eTl processes is expensive regarding time, money and effort. The researcher has highlighted (1) the review of open source and commercial eTl tools, along with some eTl prototypes coming from academic world, secondly (2) the modeling and design works in eTl field. also, (3) eTl maintenance we approach (4) review works in connection with optimization and incremental eTl.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment

Gill

Singh²

2014

JOTITT

View full text Add to dashboard Cite

In today's scenario, extraction-transformation-loading (eTl) tools have become important pieces of software responsible for integrating heterogeneous information from several sources. The task of carrying out the eTl process is potentially a complex, hard and time consuming. Organisations now -a-days are concerned about vast qualities of data. The data quality is concerned with technical issues in data warehouse environment. Research in last few decades has laid more stress on data quality issues in a data warehouse eTl process. The data quality can be ensured cleaning the data prior to loading the data into a warehouse. Since the data is collected from various sources, it comes in various formats. The standardization of formats and cleaning such data becomes the need of clean data warehouse environment. Data quality attributes like accuracy, correctness, consistency, timeliness are required for a Knowledge discovery process.The present state -of -the-art purpose of the research work is to deal on data quality issues at all the aforementioned stages of data warehousing 1) Data sources, 2) Data integration 3) Data staging, 4) Data warehouse modelling and schematic design and to formulate descriptive classification of these causes. The discovered knowledge is used to repair the data deficiencies.This work proposes a framework for quality of extraction transformation and loading of data into a warehouse.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The work by P. Saravanan [1] provided a integrated unit for imputing missing values for the right attribute. The kernel based iterative non-parametric estimators work for both continuous and discrete values.…”

Section: Related Workmentioning

confidence: 99%

A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment

Gill

Singh²

2014

JOTITT

View full text Add to dashboard Cite

show abstract

A Frame Work for XML Ontology to STEP-PDM from Express Entities: A String Matching Approach

Cited by 1 publication

References 26 publications

A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment

A Review of Contemporary Data Quality Issues in Data Warehouse ETL Environment

Contact Info

Product

Resources

About