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A domain-independent, ontology-agnostic approach to leveraging unstructured data sources

Authors:

Christine Le,

Srini Ramaswamy,

Coskun BayrakAuthors Info & Claims

ACMSE '08: Proceedings of the 46th annual ACM Southeast Conference

Pages 122 - 126

https://doi.org/10.1145/1593105.1593137

Published: 28 March 2008 Publication History

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Abstract

The vast accumulation of unstructured data within various types of documents in recent years has escalated the need for more efficient and effective management of available data. An effective tool for unstructured data management can vastly benefit business enterprises as well as support the understanding of volumes of scientific data in academic and scholarly works. This paper presents a simple tool that would make such data more actionable by allowing for an automated mechanism to support sifting through vast amounts of data and understand simplistic correlations between the data sources. The system is designed to extract meaning from data sources in a user-directed fully automated approach. Flexibility and robustness was incorporated by allowing for the accommodation of multiple data source types and leveraging the WordNet ontology for subsequent data analysis.

References

[1]

G. Weglarz, "Two Worlds of Data -- Unstructured and Structured," {Online Document}, {2007 Sep 15}, Available at http://www.dmreview.com/article_sub.cfm?articleId=100916 1.

Google Scholar

[2]

A. Adshead, "Unearth The Benefits of Buried Data," {Online Document}, June 2007, {2007 Sep 10}, Available at http://www.computerweekly.com/Articles/2007/06/15/224787/unearth-the-benefits-of-buried-data.htm.

Google Scholar

[3]

R. Rao, "From Unstructured Data to Actionable Intelligence," {Online Document}, Nov 2003 {2007 Sep 18}, Available at http://www.ramanarao.com/papers/rao-itpro-2003-11.pdf.

Google Scholar

[4]

M. Hepp, Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies. IEEE Internet Computing, 2007. 11(7): p. 90--96.

Digital Library

Google Scholar

[5]

A. Maedche and S. Staab. 2000a. Discovering conceptual relations from text. In Proceedings of ECAI-2000. IOS Press, Amsterdam.

Google Scholar

[6]

N. Roy and M. Musen, "PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment," {Online Document}, {2007 Oct 16}, Available at http://smi.stanford.edu/smi-web/reports/SMI-2000-0831.pdf.

Google Scholar

[7]

Buneman, P., Davidson, S., Hillebrand, G., and Suciu, D. 1996. A query language and optimization techniques for unstructured data. In Proceedings of the 1996 ACM SIGMOD international Conference on Management of Data (Montreal, Quebec, Canada, June 04--06, 1996). J. Widom, Ed. SIGMOD '96. ACM, New York, NY, 505--516.

Digital Library

Google Scholar

[8]

Losee, R. M. 2006. Browsing mixed structured and unstructured data. Information Processing and Management 42, 2 (March 2006), 440--452.

Crossref

Google Scholar

[9]

J. Mazon and J. Tullion, "Using WordNet Ontology to Automatically Enrich Dimension Hierarchies in a Data Warehouse," {Online Document}, {2007 Oct 4}, Available at http://www.i3s.unice.fr/odbis2005/Using%20WordNet%20Ontology%20.pdf

Google Scholar

[10]

M. Collins, C. Reynolds, C. Le, C. Varol and C. Bayrak. Automated Data Verification in a Format-Free Environment. ACM SIGSOFT Software Engineering Notes, Volume 31, Issue 2, March 2006. p. 1--4.

Digital Library

Google Scholar

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Ghosh SDubey ARamaswamy S(2011)C-FaRM: A collaborative and context aware framework for requirements management2011 4th International Workshop on Managing Requirements Knowledge10.1109/MARK.2011.6046560(29-30)Online publication date: Aug-2011
https://doi.org/10.1109/MARK.2011.6046560

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A domain-independent, ontology-agnostic approach to leveraging unstructured data sources

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ACMSE '08: Proceedings of the 46th annual ACM Southeast Conference

March 2008

548 pages

ISBN:9781605581057

DOI:10.1145/1593105

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 March 2008

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ACM SE08: ACM Southeast Regional Conference

March 28 - 29, 2008

Alabama, Auburn

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Ghosh SDubey ARamaswamy S(2011)C-FaRM: A collaborative and context aware framework for requirements management2011 4th International Workshop on Managing Requirements Knowledge10.1109/MARK.2011.6046560(29-30)Online publication date: Aug-2011
https://doi.org/10.1109/MARK.2011.6046560

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An automatic approach to classify web documents using a domain ontology

Towards a System for Ontology-Based Information Extraction from PDF Documents

Domain-independent sentence type classification: examining the scenarios of scientific abstracts and scrum protocols

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