Abstract

The massive amount of statistical and text data available from Federal Agencies has created a set of daunting challenges to both research and analysis communities. These problems include heterogeneity, size, distribution, and control of terminology. We are investigating solutions to three key problems, namely,(1) ontological mappings for terminology standardization;(2) data integration across data bases with high speed query processing; and (3) interfaces for query input and presentation of results. This collaboration between researchers from Columbia University and the Information Sciences Institute of the University of Southern California employs technology developed at both locations, in particular the SENSUS ontology, the SIMS multi-database access planner, the LKB automated dictionary and terminology analysis system, and others. The pilot application targets gasoline data from BLS, EIA, Census, and other agencies.

Metadata

publication

Paper, 1941

year

1941

publication date

1941

authors

Jose-Luis Ambite, Yigal Arens, Luis Gravano, Vasilis Hatzivassiloglou, EH Hovy, JL Klavans, Andrew Philpot, Usha Ramachandran, Jay Sandhaus, Anurag Singla, Brian Whitman

link

https://www.researchgate.net/profile/Eduard-Hovy/publication/228531717_Building_Ontologies_and_Integrating_Data_from_Multiple_Agencies_A_Case_Study_Using_Gasoline/links/0046352557a30ac9e1000000/Building-Ontologies-and-Integrating-Data-from-Multiple-Agencies-A-Case-Study-Using-Gasoline.pdf

resource_link

https://www.researchgate.net/profile/Eduard-Hovy/publication/228531717_Building_Ontologies_and_Integrating_Data_from_Multiple_Agencies_A_Case_Study_Using_Gasoline/links/0046352557a30ac9e1000000/Building-Ontologies-and-Integrating-Data-from-Multiple-Agencies-A-Case-Study-Using-Gasoline.pdf

volume

2000

publisher

Paper