%0 Book Section %1 citeulike:4039798 %A Saggion, Horacio %A Funk, Adam %A Maynard, Diana %A Bontcheva, Kalina %D 2008 %J The Semantic Web %K aswc07, iswc07 %P 843--856 %R http://dx.doi.org/10.1007/978-3-540-76298-0\_61 %T Ontology-Based Information Extraction for Business Intelligence %U http://dx.doi.org/10.1007/978-3-540-76298-0\_61 %X Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.

@incollection{citeulike:4039798, abstract = {Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.}, added-at = {2009-02-13T13:22:04.000+0100}, author = {Saggion, Horacio and Funk, Adam and Maynard, Diana and Bontcheva, Kalina}, biburl = {https://www.bibsonomy.org/bibtex/2c10e33a5d4ad271a6395c29f475b4d4d/conchuir}, citeulike-article-id = {4039798}, doi = {http://dx.doi.org/10.1007/978-3-540-76298-0\_61}, interhash = {234eb5275edf4290976041114a087ff2}, intrahash = {c10e33a5d4ad271a6395c29f475b4d4d}, journal = {The Semantic Web}, keywords = {aswc07, iswc07}, pages = {843--856}, posted-at = {2009-02-12 18:11:51}, priority = {2}, timestamp = {2009-02-13T13:22:05.000+0100}, title = {Ontology-Based Information Extraction for Business Intelligence}, url = {http://dx.doi.org/10.1007/978-3-540-76298-0\_61}, year = 2008 }