In Databases one of the active research fields is mapping relational databases (RDB) into Resource
Description Framework (RDF). An enormous data is kept in the form of relational databases and accessing
of data is done in the semantic web. The data stored in RDB is to be efficiently mapped to the semantic web
or RDF for data availability to the users. There is a definite need for improvement in technologies for
efficient mapping languages from RDB to RDF in semantic web. This paper presents an up-to-date survey
of different RDB to RDF mapping languages proposed in recent times. It outlines the main features or
characteristics to be considered for efficient mapping in different scenarios. The main objective of this
content, pictures identification of limitations existing in the mapping languages. It also enhances the
comparisons between each language and helps researchers to propose further better proposals in their
future scope of work to improve better mapping techniques.
%0 Journal Article
%1 noauthororeditor
%A V.Sitharamulu,
%A Babu, Dr. B. Raveendra
%D 2016
%J International Journal on Foundations of Computer Science & Technology (IJFCST)
%K (RDB) Characteristic Comparison Data Mapping RDB RDF Semantic Web bases databases relational to
%N 2
%P 8
%R 10.5121/ijfcst.2016.6203
%T A Review on RDB to RDF Mapping for Semantic Web
%U https://wireilla.com/papers/ijfcst/V6N2/6216ijfcst03.pdf
%V 6
%X In Databases one of the active research fields is mapping relational databases (RDB) into Resource
Description Framework (RDF). An enormous data is kept in the form of relational databases and accessing
of data is done in the semantic web. The data stored in RDB is to be efficiently mapped to the semantic web
or RDF for data availability to the users. There is a definite need for improvement in technologies for
efficient mapping languages from RDB to RDF in semantic web. This paper presents an up-to-date survey
of different RDB to RDF mapping languages proposed in recent times. It outlines the main features or
characteristics to be considered for efficient mapping in different scenarios. The main objective of this
content, pictures identification of limitations existing in the mapping languages. It also enhances the
comparisons between each language and helps researchers to propose further better proposals in their
future scope of work to improve better mapping techniques.
@article{noauthororeditor,
abstract = {In Databases one of the active research fields is mapping relational databases (RDB) into Resource
Description Framework (RDF). An enormous data is kept in the form of relational databases and accessing
of data is done in the semantic web. The data stored in RDB is to be efficiently mapped to the semantic web
or RDF for data availability to the users. There is a definite need for improvement in technologies for
efficient mapping languages from RDB to RDF in semantic web. This paper presents an up-to-date survey
of different RDB to RDF mapping languages proposed in recent times. It outlines the main features or
characteristics to be considered for efficient mapping in different scenarios. The main objective of this
content, pictures identification of limitations existing in the mapping languages. It also enhances the
comparisons between each language and helps researchers to propose further better proposals in their
future scope of work to improve better mapping techniques.},
added-at = {2023-03-02T11:38:53.000+0100},
author = {V.Sitharamulu and Babu, Dr. B. Raveendra},
biburl = {https://www.bibsonomy.org/bibtex/200ff5944efdf7f54723c75563d64b1ee/devino},
doi = {10.5121/ijfcst.2016.6203},
interhash = {2442ed4fe7bded05fa51a8c4e59312f8},
intrahash = {00ff5944efdf7f54723c75563d64b1ee},
issn = {1839-7662},
journal = {International Journal on Foundations of Computer Science & Technology (IJFCST)},
keywords = {(RDB) Characteristic Comparison Data Mapping RDB RDF Semantic Web bases databases relational to},
language = {ENGLISH},
month = mar,
number = 2,
pages = 8,
timestamp = {2023-03-02T11:38:53.000+0100},
title = {A Review on RDB to RDF Mapping for Semantic Web},
url = {https://wireilla.com/papers/ijfcst/V6N2/6216ijfcst03.pdf},
volume = 6,
year = 2016
}