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Return to IR and Data Visualization
While text has long been the bulk of the volume of enterprise information, it is the (smaller) volume of transactional data that has always held the bulk of the value. We argue that there are two principal technical challenges to bridging this gap: (1) extracting structure from unstructured text and (2) exploiting this structure to deliver value to the enterprise. This talk will focus on these two challenges and how their solution could lead to a new class of content-driven applications, much as the advent of the relational database gave rise to a new class of enterprise transaction-driven applications.
@inproceedings {DBLP:conf/sigmod/Raghavan03, author = {Prabhakar Raghavan}, booktitle = {SIGMOD Conference}, title = {Extracting and Exploiting Structure in Text Search.}, pages = {635}, year = {2003}, url = {db/conf/sigmod/sigmod2003.html#Raghavan03}, ee = {http://www.acm.org/sigmod/sigmod03/eproceedings/papers/ind00.pdf}, crossref = {conf/sigmod/2003}, bibsource = {DBLP, http://dblp.uni-trier.de} }  ©2004 Association for Computing Machinery |
