Article

Armadillo: harvesting information for the semantic web

Authors:

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

Page 598

https://doi.org/10.1145/1008992.1009141

Published: 25 July 2004 Publication History

Get Access

Abstract

No abstract available.

References

[1]

Fabio Ciravegna, Sam Chapman, Alexiei Dingli, and Yorick Wilks. Learning to harvest information for the semantic web. In Proc. ESWS2004, May 2004. Crete.

Crossref

Google Scholar

[2]

Stephen Dill, Nadav Eiron, David Gibson, Daniel Gruhl, R. Guha, Anant Jhingran, Tapas Kanungo, Sridhar Rajagopalan, Andrew Tomkins, John A. Tomlin, and Jason Y. Zien. Semtag and seeker: Bootstrapping the semantic web via automated semantic annotation. In Intl. Conf. WWW2003, May 2003. Budapest, Hungary.

Digital Library

Google Scholar

Cited By

View all

Liao XZhao Z(2019)Unsupervised Approaches for Textual Semantic Annotation, A SurveyACM Computing Surveys10.1145/332447352:4(1-45)Online publication date: 30-Aug-2019
https://dl.acm.org/doi/10.1145/3324473
Omari AShoham SYahav EDillon LVisser WWilliams L(2016)Cross-supervised synthesis of web-crawlersProceedings of the 38th International Conference on Software Engineering10.1145/2884781.2884842(368-379)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2884781.2884842
Tao CSong DSharma DChute C(2013)SemantatorJournal of Biomedical Informatics10.1016/j.jbi.2013.07.00346:5(882-893)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1016/j.jbi.2013.07.003
Show More Cited By

Index Terms

Armadillo: harvesting information for the semantic web
1. Information systems

Recommendations

Reasoning about Textual Similarity in a Web-Based Information Access System

The degree to which information sources are pre-processed by Web-based information systems varies greatly. In search engines like Altavista, little pre-processing is done, while in “knowledge integration” systems, complex site-specific “wrappers” are ...
Research and Applications in Web Intelligence, Mining, and Semantics
WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

The Web has an enormous influence on our everyday life. Thus, more efficient intelligent approaches and technologies are needed to realize the Web's full potential. Intelligence can be achieved by making the Web aware of the semantics of its own ...
Find this for me: mobile information retrieval on the open web
IUI '11: Proceedings of the 16th international conference on Intelligent user interfaces

With all the information available on the web, there is a growing need to provide mobile access to this information for the large, growing population of mobile internet users. In this paper, we propose a solution to the problem of open web mobile ...

Comments

Information & Contributors

Information

Published In

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

July 2004

624 pages

ISBN:1581138814

DOI:10.1145/1008992

General Chair:
Mark Sanderson
University of Sheffield (UK)
,
Program Chairs:
Kalervo Järvelin
University of Tampere (Finland)
,
James Allan
University of Massachusetts (USA)
,
Peter Bruza
Distributed Systems Technology Centre (Australia)

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 July 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

SIGIR04

Sponsor:

SIGIR04: The 27th ACM/SIGIR International Symposium on Information Retrieval 2004

July 25 - 29, 2004

Sheffield, United Kingdom

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
442
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 13 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Liao XZhao Z(2019)Unsupervised Approaches for Textual Semantic Annotation, A SurveyACM Computing Surveys10.1145/332447352:4(1-45)Online publication date: 30-Aug-2019
https://dl.acm.org/doi/10.1145/3324473
Omari AShoham SYahav EDillon LVisser WWilliams L(2016)Cross-supervised synthesis of web-crawlersProceedings of the 38th International Conference on Software Engineering10.1145/2884781.2884842(368-379)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2884781.2884842
Tao CSong DSharma DChute C(2013)SemantatorJournal of Biomedical Informatics10.1016/j.jbi.2013.07.00346:5(882-893)Online publication date: 1-Oct-2013
https://dl.acm.org/doi/10.1016/j.jbi.2013.07.003
Pipitone APirrone R(2012)Cognitive Linguistics as the Underlying Framework for Semantic AnnotationProceedings of the 2012 IEEE Sixth International Conference on Semantic Computing10.1109/ICSC.2012.48(52-59)Online publication date: 19-Sep-2012
https://dl.acm.org/doi/10.1109/ICSC.2012.48
Kurz TSchaffert SBurger T(2011)LMFProceedings of the 2011 Workshop on Multimedia on the Web10.1109/MMWeb.2011.22(16-20)Online publication date: 8-Sep-2011
https://dl.acm.org/doi/10.1109/MMWeb.2011.22
Wong TLam W(2009)An unsupervised method for joint information extraction and feature mining across different Web sitesData & Knowledge Engineering10.1016/j.datak.2008.08.00968:1(107-125)Online publication date: 1-Jan-2009
https://dl.acm.org/doi/10.1016/j.datak.2008.08.009
McDowell LCafarella M(2008)Ontology-driven, unsupervised instance populationWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2008.04.0026:3(218-236)Online publication date: 1-Sep-2008
https://dl.acm.org/doi/10.1016/j.websem.2008.04.002
Hu BHu B(2006)Tower of Babel: interoperability of ontologies for pervasive computing2006 First International Symposium on Pervasive Computing and Applications10.1109/SPCA.2006.297511(690-695)Online publication date: Aug-2006
https://doi.org/10.1109/SPCA.2006.297511
McDowell LCafarella M(2006)Ontology-driven information extraction with ontosyphonProceedings of the 5th international conference on The Semantic Web10.1007/11926078_31(428-444)Online publication date: 5-Nov-2006
https://dl.acm.org/doi/10.1007/11926078_31
Uren VMotta EDzbor MCimiano PClark PSchreiber G(2005)Browsing for information by highlighting automatically generated annotationsProceedings of the 3rd international conference on Knowledge capture10.1145/1088622.1088637(75-82)Online publication date: 2-Oct-2005
https://dl.acm.org/doi/10.1145/1088622.1088637

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Reasoning about Textual Similarity in a Web-Based Information Access System

Research and Applications in Web Intelligence, Mining, and Semantics

Find this for me: mobile information retrieval on the open web