%0 Journal Article %1 martin2011 %A Martin, A. %A Maladhy, D. %A Venkatesan, V. Prasanna %D 2011 %K business ontology rdf semantic_web %T A Framework for Business Intelligence Application using Ontological Classification %U http://arxiv.org/ftp/arxiv/papers/1109/1109.1088.pdf %X Every business needs knowledge about their competitors to survive better. One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence.

@article{martin2011, abstract = { Every business needs knowledge about their competitors to survive better. One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence. }, added-at = {2011-09-07T09:14:16.000+0200}, author = {Martin, A. and Maladhy, D. and Venkatesan, V. Prasanna}, biburl = {https://www.bibsonomy.org/bibtex/20713b9012149504d03f72adecb075f74/maxirichter}, description = {A Framework for Business Intelligence Application using Ontological Classification}, interhash = {509c7f7a699caa09500e7d96100d3956}, intrahash = {0713b9012149504d03f72adecb075f74}, keywords = {business ontology rdf semantic_web}, note = {cite arxiv:1109.1088Comment: Classification, Ontology, Business Intelligence, Datamining, Inverted Index, Ontology Tree Index}, timestamp = {2012-01-16T12:39:49.000+0100}, title = {A Framework for Business Intelligence Application using Ontological Classification}, url = {http://arxiv.org/ftp/arxiv/papers/1109/1109.1088.pdf}, year = 2011 }