Article

Towards web information extraction using extraction ontologies and (indirectly) domain ontologies

Authors:

Martin Labsky,

Marek Nekvasil,

Vojtech SvatekAuthors Info & Claims

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

Pages 201 - 202

https://doi.org/10.1145/1298406.1298454

Published: 28 October 2007 Publication History

Get Access

Abstract

Extraction ontologies allow to swiftly proceed from initial domain modelling to running a functional prototype of a web information extraction application. We investigate the possibility of semi-automatically deriving extraction ontologies from third-party domain ontologies.

References

[1]

D. W. Embley, C. Tao, and S. W. Liddle. Automatically extracting ontologically specified data from HTML tables of unknown structure. In Proc. ER 2002, pages 322--337, 2002.

Digital Library

Google Scholar

[2]

M. Labsky, V. Svatek, M. Nekvasil, and D. Rak. Information extraction using extraction ontologies. In Proc. PriCKL 2007, ECML/PKDD Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery, Warsaw, Poland, 2007.

Google Scholar

Cited By

View all

Adrian BHees JVan Elst LDengel A(2009)iDocumentProceedings of the 32nd annual German conference on Advances in artificial intelligence10.5555/1814110.1814147(249-256)Online publication date: 15-Sep-2009
https://dl.acm.org/doi/10.5555/1814110.1814147
Jirkovský VJelínek I(2009)Proposing of modular system for web information extractionProceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing10.1145/1731740.1731847(1-4)Online publication date: 18-Jun-2009
https://dl.acm.org/doi/10.1145/1731740.1731847
Adrian BHees Jvan Elst LDengel A(2009)iDocument: Using Ontologies for Extracting and Annotating Information from Unstructured TextKI 2009: Advances in Artificial Intelligence10.1007/978-3-642-04617-9_32(249-256)Online publication date: 2009
https://doi.org/10.1007/978-3-642-04617-9_32

Index Terms

Towards web information extraction using extraction ontologies and (indirectly) domain ontologies
1. Information systems
  1. Information retrieval

Recommendations

Using multiple ontologies in information extraction
CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

Ontology-Based Information Extraction (OBIE) has recently emerged as a subfield of Information Extraction (IE). Here, ontologies - which provide formal and explicit specifications of conceptualizations - play a crucial role in the information extraction ...
Use of ontologies in information extraction
CreaDO -- A Methodology to Create Domain Ontologies Using Parameter-Based Ontology Merging Techniques
MICAI '11: Proceedings of the 2011 10th Mexican International Conference on Artificial Intelligence

Nowadays, ontologies have become a key mechanism to represent the knowledge of a specific domain. Domain ontologies can be used for different purposes, one of them is the development of semantic search engines that obtain precise results by considering ...

Comments

Information & Contributors

Information

Published In

K-CAP '07: Proceedings of the 4th international conference on Knowledge capture

October 2007

216 pages

ISBN:9781595936431

DOI:10.1145/1298406

Editors:
Derek Sleeman
University of Aberdeen, UK
,
Ken Barker
University of Texas at Austin

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: 28 October 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

K-CAP07

Sponsor:

K-CAP07: International Conference on Knowledge Capture 2007

October 28 - 31, 2007

BC, Whistler, Canada

Acceptance Rates

Overall Acceptance Rate 55 of 198 submissions, 28%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
296
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 05 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Adrian BHees JVan Elst LDengel A(2009)iDocumentProceedings of the 32nd annual German conference on Advances in artificial intelligence10.5555/1814110.1814147(249-256)Online publication date: 15-Sep-2009
https://dl.acm.org/doi/10.5555/1814110.1814147
Jirkovský VJelínek I(2009)Proposing of modular system for web information extractionProceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing10.1145/1731740.1731847(1-4)Online publication date: 18-Jun-2009
https://dl.acm.org/doi/10.1145/1731740.1731847
Adrian BHees Jvan Elst LDengel A(2009)iDocument: Using Ontologies for Extracting and Annotating Information from Unstructured TextKI 2009: Advances in Artificial Intelligence10.1007/978-3-642-04617-9_32(249-256)Online publication date: 2009
https://doi.org/10.1007/978-3-642-04617-9_32

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

Using multiple ontologies in information extraction

Use of ontologies in information extraction

CreaDO -- A Methodology to Create Domain Ontologies Using Parameter-Based Ontology Merging Techniques

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Using multiple ontologies in information extraction

Use of ontologies in information extraction

CreaDO -- A Methodology to Create Domain Ontologies Using Parameter-Based Ontology Merging Techniques

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations