Ontology-based extraction and structuring of information from data-rich unstructured documents

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Ontology-based extraction and structuring of information from data-rich unstructured documents

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Conference on Information and Knowledge Management archive
Proceedings of the seventh international conference on Information and knowledge management table of contents

Bethesda, Maryland, United States

Pages: 52 - 59

Year of Publication: 1998

ISBN:1-58113-061-9

Authors

David W. Embley	Department of Computer Science, Brigham Young University, Prova, Utah
Douglas M. Campbell	Department of Computer Science, Brigham Young University, Prova, Utah
Randy D. Smith	Department of Computer Science, Brigham Young University, Prova, Utah
Stephen W. Liddle	School of Accountancy and information Syatems, Brigham Young University, Prova, Utah

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
SIGMIS: ACM Special Interest Group on Management Information Systems

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 11, Downloads (12 Months): 78, Citation Count: 14

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	Stephen W. Liddle , Douglas M. Campbell , Chad Crawford, Automatically extracting structure and data from business reports, Proceedings of the eighth international conference on Information and knowledge management, p.86-93, November 02-06, 1999, Kansas City, Missouri, United States
	D. W. Embley , Y. Jiang , Y.-K. Ng, Record-boundary discovery in Web documents, ACM SIGMOD Record, v.28 n.2, p.467-478, June 1999
	Alberto H. F. Laender , Berthier Ribeiro-Neto , Altigran S. da Silva, DEByE - Date extraction by example, Data & Knowledge Engineering, v.40 n.2, p.121-154, February 2002
	Frederique Laforest , André Flory, Using weakly structured documents at the user-interface level to fill in a classical database, Advanced topics in database research vol. 1, Idea Group Publishing, Hershey, PA, 2003
	I. V. Ramakrishnan , Amanda Stent , Guizhen Yang, Hearsay: enabling audio browsing on hypertext content, Proceedings of the 13th international conference on World Wide Web, May 17-20, 2004, New York, NY, USA
	Chih-Ping Wei , Yen-Hsien Lee, Event detection from online news documents for supporting environmental scanning, Decision Support Systems, v.36 n.4, p.385-401, March 2004
	Dawn G. Gregg , Steven Walczak, Adaptive web information extraction, Communications of the ACM, v.49 n.5, p.78-84, May 2006
	Xu-Bin Deng , Yang-Yong Zhu, L-tree match: a new data extraction model and algorithm for huge text stream with noises, Journal of Computer Science and Technology, v.20 n.6, p.763-773, November 2005
	Hasan Davulcu , Srinivas Vadrevu , Saravanakumar Nagarajan, OntoMiner: automated metadata and instance mining from news websites, International Journal of Web and Grid Services, v.1 n.2, p.196-221, December 2005
	Shiren Ye , Tat-Seng Chua, Learning Object Models from Semistructured Web Documents, IEEE Transactions on Knowledge and Data Engineering, v.18 n.3, p.334-349, March 2006
	Saikat Mukherjee , I. V. Ramakrishnan, Automated Semantic Analysis of Schematic Data, World Wide Web, v.11 n.4, p.427-464, December 2008
	Ching-Song D. Wei , Sam Y. Sung , Simon J. Doong , Peter A. Ng, Integration Of Structured And Unstructured Text Data In A Clinical Information System, Journal of Integrated Design & Process Science, v.10 n.3, p.61-77, August 2006
	Nathanael Chambers , James Allen , Lucian Galescu , Hyuckchul Jung , William Taysom, Using semantics to identify web objects, proceedings of the 21st national conference on Artificial intelligence, p.1259-1264, July 16-20, 2006, Boston, Massachusetts
	Róbert Novotny , Peter Vojtas , Dušan Maruscak, Information Extraction from Web Pages, Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, p.121-124, September 15-18, 2009