Article

Incremental formalization of document annotations through ontology-based paraphrasing

Authors:

Yolanda GilAuthors Info & Claims

WWW '04: Proceedings of the 13th international conference on World Wide Web

Pages 455 - 461

https://doi.org/10.1145/988672.988734

Published: 17 May 2004 Publication History

Abstract

For the manual semantic markup of documents to become wide-spread, usersmust be able to express annotations that conform to ontologies (orschemas) that have shared meaning. However, a typical user is unlikelyto be familiar with the details of the terms as defined by the ontology authors. In addition, the idea to be expressed may not fit perfectly within a pre-defined ontology. The ideal tool should help users find apartial formalization that closely follows the ontology where possiblebut deviates from the formal representation where needed. We describe animplemented approach to help users create semi-structured semantic annotations for a document according to an extensible OWL ontology. In our approach, users enter a short sentence in free text to describe allor part of a document, and the system presents a set of potential paraphrases of the sentence that are generated from valid expressions inthe ontology, from which the user chooses the closest match. We use a combination of off-the-shelf parsing tools and breadth-first search of expressions in the ontology to help users create valid annotations starting from free text. The user can also define new terms to augmentthe ontology, so the potential matches can improve over time.

References

[1]

Amaya 03. http://www.w3.org/Amaya.

[2]

Blythe, J. Integrating expectations from different sources to help end users acquire procedural knowledge. Proceedings of IJCAI'01 (Seattle, WA, August 2001).

Digital Library

[3]

Chklovski, Y., Using Analogy to Acquire Commonsense Knowledge from Human Contributors, Ph.D. Thesis, MIT Artificial Intelligence Laboratory technical report AITR-2003-002, 2003.

[4]

Ciravegna, F., Dingli, A., Petrelli, D. and Wilks, Y., User-System Cooperation in Document Annotation based on Information Extraction. Proceedings of EKAW'02. (2002).

Digital Library

[5]

Dill, S., Eiron, N., Gibson, D., Gruhl, D., Guha, R., Jhingran, A., Kanungo, T., Rajagopalan, S., Tomkins, A., Tomlin, J., and Zien, J. SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation, Proceedings of WWW12, Budapest, 2003.

Digital Library

[6]

Fellbaum, C., Ed. WordNet, an Electronic Lexical Database, MIT Press, 1998.

[7]

Gennari, J., Musen, M., Fergerson, R., Grosso, W., Crubezy, M., Eriksson, H., Noy, N., Tu, S. The Evolution of Protege: An Environment for Knowledge-Based Systems Development International Journal of Human-Computer Studies, 58(1), 2002.

Digital Library

[8]

Gil, Y. and Ratnakar, V. Trusting Information Sources One Citizen at a Time. Proceedings of ISWC'02. (2002a).

Digital Library

[9]

Gil, Y. and Ratnakar, V. TRELLIS: An interactive tool for capturing information analysis and decision making. Proceedings of EKAW'02. (2002b).

Digital Library

[10]

Handschuh, S., Staab, S. and Ciravegna, F., S-CREAM: Semi-automatic CREAtion of Metadata. Proceedings of EKAW'02. (2002).

Digital Library

[11]

Kahan, J. and Koivunen, M., Annotea: An Open RDF Infrastructure for Shared Web Annotations, Proceedings of WWW10, Hong Kong, 2001.

Digital Library

[12]

Klein, D. and Manning, C. Fast Exact Inference with a Factored Model for Natural Language Parsing. Advances in Neural Information Processing Systems 15 (NIPS 2002), 2002.

[13]

McGuinness, D., Fikes, R., Rice, J., Wilder, S. The Chimaera Ontology Environment, Proceedings of AAAI 2000.

Digital Library

[14]

Mihalcea, R. and Moldovan, D. eXtended WordNet: Progress Report, in Proceedings of NAACL Workshop on WordNet and Other Lexical Resources, Pittsburgh, PA, 2001.

[15]

OWL 03. http: //www.w3.org/TR/owl-features/.

[16]

Porter, M., An algorithm for suffix stripping, Program, 14(3): 130--137.

[17]

Singh, P. and Barry, B. Collecting Commonsense Experiences, Proceedings of KCAP'03, 2003.

Digital Library

[18]

Sleator, D. and Termperley D., Parsing English with a link grammar, Proc. International Workshop on Parsing Technologies, 1993.

[19]

Stork, D. The Open Mind Initiative, IEEE Expert Systems and Their Applications, May/June 1999.

[20]

Vargas-Vera, M., Motta, E., Domingue, J, Lanzoni, M., Stutt, A. and Ciravegna, F. MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup, Proceedings of EKAW'02. (2002).

Digital Library

[21]

Wojcik, R. The Boeing Simplified English Checker, 2002, http://www.boeing.com/assocproducts/sechecker

Cited By

Ben Ellefi MBellahsene ZBreslin JDemidova EDietze SSzymański JTodorov K(2018)RDF dataset profiling – a survey of features, methods, vocabularies and applicationsSemantic Web10.3233/SW-1802949:5(677-705)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/SW-180294
Gil Y(2015)Human Tutorial Instruction in the RawACM Transactions on Interactive Intelligent Systems10.1145/25319205:1(1-29)Online publication date: 25-Mar-2015
https://dl.acm.org/doi/10.1145/2531920
Gandon FBuffa MCabrio ECorby OFaron-Zucker CGiboin ALe Thanh NMirbel ISander PTettamanzi AVillata S(2014)Challenges in Bridging Social Semantics and Formal Semantics on the WebEnterprise Information Systems10.1007/978-3-319-09492-2_1(3-15)Online publication date: 25-Jul-2014
https://doi.org/10.1007/978-3-319-09492-2_1
Show More Cited By

Index Terms

Incremental formalization of document annotations through ontology-based paraphrasing
1. Information systems
  1. Information retrieval
    1. Document representation

Recommendations

An Ontology-Based Reasoning Approach for Document Annotation
ICSC '13: Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing

Information management has become an important challenge, especially when most of their relevant and strategic documents are available on the Web only for human interpretation. Annotating documents rises as an interesting strategy to diminish the hard ...
Ontology based document annotation: trends and open research problems

Metadata is used to describe documents and applications, improving information seeking and retrieval and its understanding and use. Metadata can be expressed in a wide variety of vocabularies and languages, and can be created and maintained with a ...
Ontology augmentation: combining semantic web and text resources
K-CAP '11: Proceedings of the sixth international conference on Knowledge capture

This work investigates the process of selecting, extracting and reorganizing content from Semantic Web information sources, to produce an ontology meeting the specifications of a particular domain and/or task. The process is combined with traditional ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

WWW '04: Proceedings of the 13th international conference on World Wide Web

May 2004

754 pages

ISBN:158113844X

DOI:10.1145/988672

Conference Chairs:
Stuart Feldman
IBM Research
,
Mike Uretsky
New York University
,
Program Chairs:
Marc Najork
Microsoft Research
,
Craig Wills
Worcester Polytechnic Institute

Copyright © 2004 ACM.

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]

Sponsors

ACM: Association for Computing Machinery

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

WWW04

Sponsor:

ACM

WWW04: The 2004 World Wide Web Conference ( in conjunction with ACM Conference on Electronic Commerce [EC'04])

May 17 - 20, 2004

NY, New York, USA

Acceptance Rates

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

18
Total Citations
View Citations
846
Total Downloads

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

Reflects downloads up to

Other Metrics

View Author Metrics

Citations

Cited By

Ben Ellefi MBellahsene ZBreslin JDemidova EDietze SSzymański JTodorov K(2018)RDF dataset profiling – a survey of features, methods, vocabularies and applicationsSemantic Web10.3233/SW-1802949:5(677-705)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/SW-180294
Gil Y(2015)Human Tutorial Instruction in the RawACM Transactions on Interactive Intelligent Systems10.1145/25319205:1(1-29)Online publication date: 25-Mar-2015
https://dl.acm.org/doi/10.1145/2531920
Gandon FBuffa MCabrio ECorby OFaron-Zucker CGiboin ALe Thanh NMirbel ISander PTettamanzi AVillata S(2014)Challenges in Bridging Social Semantics and Formal Semantics on the WebEnterprise Information Systems10.1007/978-3-319-09492-2_1(3-15)Online publication date: 25-Jul-2014
https://doi.org/10.1007/978-3-319-09492-2_1
Schneider JGroza TPassant A(2013)A review of argumentation for the Social Semantic WebSemantic Web10.5555/2590215.25902184:2(159-218)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.5555/2590215.2590218
Wu LYang LYu NHua XQuemada JLeón GMaarek YNejdl W(2009)Learning to tagProceedings of the 18th international conference on World wide web10.1145/1526709.1526758(361-370)Online publication date: 20-Apr-2009
https://dl.acm.org/doi/10.1145/1526709.1526758
Liu CChen HJain JChen J(2009)Semi-Automatic Annotation System for OWL-Based Semantic Search2009 International Conference on Complex, Intelligent and Software Intensive Systems10.1109/CISIS.2009.82(475-480)Online publication date: Mar-2009
https://doi.org/10.1109/CISIS.2009.82
Riabov ABoillet EFeblowitz MLiu ZRanganathan AHuai JChen RHon HLiu YMa WTomkins AZhang X(2008)Wishful searchProceedings of the 17th international conference on World Wide Web10.1145/1367497.1367602(775-784)Online publication date: 21-Apr-2008
https://dl.acm.org/doi/10.1145/1367497.1367602
Han LChen GXie L(2007)AASAJournal of Information Science10.1177/016555150607216433:4(435-450)Online publication date: 1-Aug-2007
https://dl.acm.org/doi/10.1177/0165551506072164
El-Beltagy SHazman MRafea ACho YWainwright RHaddad HShin SKoo Y(2007)Ontology based annotation of text segmentsProceedings of the 2007 ACM symposium on Applied computing10.1145/1244002.1244296(1362-1367)Online publication date: 11-Mar-2007
https://dl.acm.org/doi/10.1145/1244002.1244296
Handschuh S(2007)Semantic Annotation of Resources in the Semantic WebSemantic Web Services10.1007/3-540-70894-4_5(135-155)Online publication date: 2007
https://doi.org/10.1007/3-540-70894-4_5
Show More Cited By

View Options

Get Access

Login options

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

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents