@inproceedings{Curry2008,
abstract = {Content integration is a key challenge within an organizations Enterprise Content Management (ECM) strategy. In this paper we present the challenges associated with the integration of information sources within a ECM. Content analytics is a viable approach to the integration of structured and unstructured sources. This paper provides an overview of a semantically powered integration approach to , structured and unstructured relationships between the structured and unstructured content. This is achieved using information association using ontology-based entity detection discover and disambiguation. The commercial potential of the technology is discussed in terms of its business value proposition and the market positing of potential products and services.},
address = {Bangkok, Thailand},
author = {Curry, Edward and McDaniel, Bill and Shingarev, Dmitry and Caires, Milena C and Riain, Sean O and Flannery, Karl and Kirrane, Sabrina and Green, Christopher and Walsh, Brendan and Morain, Liam O},
booktitle = {Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web (Industrial Track)},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Curry et al. - 2008 - A Business Case for Enterprise Content Integration using Ontology-based Content Analytics.pdf:pdf},
keywords = {content analytics,content integration,ecm,enterprise content management,enterprise information,management},
pages = {1--6},
title = {{A Business Case for Enterprise Content Integration using Ontology-based Content Analytics}},
url = {http://www.edwardcurry.org/publications/Serneity_aswc_08_ST_v4.pdf},
year = {2008}
}