%0 Journal Article %1 BansalKagemann15computer %A Bansal, Srividya K. %A Kagemann, Sebastian %D 2015 %J Computer %K v1500 ieee paper ai data analysis enterprise information management semantic zzz.big %N 3 %P 42--50 %R 10.1109/MC.2015.76 %T Integrating Big Data: A Semantic Extract-Transform-Load Framework %V 48 %X Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow, not on generating meaningful semantic relationships to integrate data from multiple, heterogeneous sources. A proposed semantic ETL framework applies semantics to various data fields and so allows richer data integration.

@article{BansalKagemann15computer, abstract = {Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow, not on generating meaningful semantic relationships to integrate data from multiple, heterogeneous sources. A proposed semantic ETL framework applies semantics to various data fields and so allows richer data integration.}, added-at = {2015-03-31T17:53:11.000+0200}, author = {Bansal, Srividya K. and Kagemann, Sebastian}, biburl = {https://www.bibsonomy.org/bibtex/2a41619c0b2df2930eb83220daec5ff7c/flint63}, doi = {10.1109/MC.2015.76}, file = {IEEE Digital Library:2015/BansalKagemann15computer.pdf:PDF}, groups = {public}, interhash = {f0fb5536f1d08dcaa353542c5ac7411f}, intrahash = {a41619c0b2df2930eb83220daec5ff7c}, issn = {0018-9162}, journal = {Computer}, keywords = {v1500 ieee paper ai data analysis enterprise information management semantic zzz.big}, month = {#mar#}, number = 3, pages = {42--50}, timestamp = {2018-04-16T11:36:20.000+0200}, title = {Integrating Big Data: A Semantic Extract-Transform-Load Framework}, username = {flint63}, volume = 48, year = 2015 }