skip to main content
10.1145/2383276.2383288acmotherconferencesArticle/Chapter ViewAbstractPublication PagescompsystechConference Proceedingsconference-collections
research-article

Use of ontology-to-text relation for creating semantic annotation

Published: 22 June 2012 Publication History

Abstract

The paper is focused on the problem of creating new semantic annotations of multimedia objects stored in a digital library. In most cases creating such annotations is a time-consuming and expensive process when it is carried out manually by domain experts. This cumbersome process could be facilitated if a part of the information used for annotating is available in form of natural language texts. In such cases it is possible to apply some Natural Language Processing techniques for extracting needed information and then convert it into desired semantic annotations. The paper describes an approach for solving the task of ontological terms recognition within Bulgarian texts by application of a Natural Language Processing technique called "Ontology-to-Text Relation". All preliminary steps to prepare needed resources for implementation of this technique are discussed.

References

[1]
Dochev D., Agre G., Towards Semantic Web Enhanced Learning, In: Proceedings of the International Conference on Knowledge Management and Information Sharing, Madeira, 2009, pp. 212--217.
[2]
Fellbaum Chr. Editor. WORDNET: an electronic lexical database. MIT Press, 1998.
[3]
Hirst Gr. Ontology and the lexicon. In: Ste←en Staab and Rudi Studer (editors), Handbook on Ontologies. Springer Verlag, Berlin, Germany, 2004, pp 209--229.
[4]
Lenci A., Busa F., Ruimy N., Gola El., Monachini M., Calzolari N., Zampolli A., Guimier E., Recourcé G., Humphreys L, von Rekovsky U., Ogonowski A., McCauley Cl., Peters W., Peters Iv., Gaizauskas R., Villegas M. SIMPLE Work Package 2 - Linguistic Specifications, Deliverable D2.1. ILC-CNR, Pisa, Italy, 2000.
[5]
Pavlova-Draganova L, Georgiev V., Draganov L. Virtual Encyclopaedia of Bulgarian Iconography, Information Technologies and Knowledge, vol.1, No.3, 2007, pp. 267--271.
[6]
Simov K. Ontology-Based Lexicon of Bulgarian. Journal for Language Technology and Computational Linguistics. 2009. Volume 24, Number 2, pp. 40--55.
[7]
Simov K., Z. Peev, M. Kouylekov, A. Simov, M. Dimitrov, A. Kiryakov. CLaRK - an XML-based System for Corpora Development. In: Proceedings of the Corpus Linguistics Conference, 2001, pp. 558--560.
[8]
Simov K. and P. Osenova, Applying Ontology- Based Lexicons to the Semantic Annotation of Learning Objects. In: Proceedings of the Workshop on NLP and Knowledge Represenattion for eLearning Environments, RANLP-2007, pp. 49--55.
[9]
Simov K. and P. Osenova, Language Resources and Tools for Ontology-Based Semantic Annotation, In: Proceedings of OntoLex Workshop at LREC 2008, eds. Al. Oltramari, L. Prévot, Chu-Ren Huang, P. Buitelaar, P. Vossen, 2008, pp. 9--13.
[10]
Staykova K. and I. Hristov, Metadata Models for Technology Enhanced Learning in SINUS Project. In: Proceedings of the International Scientific Conference on Information Communication and Energy Systems and Technologies - 2010 (ICEST 2010), Ohrid, Macedonia, Vol.1, pp. 337--340.
[11]
Vossen P.- Editor. EuroWordNet General Document. Version 3, Final, July 19, 1999, http://www.hum.uva.nl/ewn
[12]
World Wide Web Consortium (W3C), 2011, "W3C Semantic Web Activity", 07.11.2011. Accessed on 10.04.2012.
[13]
{Reference contains Cyrillic text which could not be captured.}

Cited By

View all
  • (2018)Natural Language Generation and Semantic TechnologiesCybernetics and Information Technologies10.2478/cait-2014-001514:2(3-23)Online publication date: 13-Dec-2018
  • (2018)Query Expansion Based on Semantic Related NetworkPRICAI 2018: Trends in Artificial Intelligence10.1007/978-3-319-97310-4_3(19-28)Online publication date: 27-Jul-2018

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies
June 2012
440 pages
ISBN:9781450311939
DOI:10.1145/2383276
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: 22 June 2012

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. lexical entities recognition
  2. ontologies
  3. semantic annotation

Qualifiers

  • Research-article

Funding Sources

Conference

CompSysTech'12

Acceptance Rates

Overall Acceptance Rate 241 of 492 submissions, 49%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2018)Natural Language Generation and Semantic TechnologiesCybernetics and Information Technologies10.2478/cait-2014-001514:2(3-23)Online publication date: 13-Dec-2018
  • (2018)Query Expansion Based on Semantic Related NetworkPRICAI 2018: Trends in Artificial Intelligence10.1007/978-3-319-97310-4_3(19-28)Online publication date: 27-Jul-2018

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media