Skip to main content

Towards Automatic Semantic Annotation of Thai Official Correspondence: Leave of Absence Case Study

  • Conference paper
Recent Advances in Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 265))

Abstract

The realization of semantic web depended on the availability of web of data associated with knowledge and information in the real world. The first stage for web of data preparation is semantic annotation. However framing such manual semantic annotation is inappropriate for inexperienced users because they require specialist knowledge of ontology and syntax. To address this problem, this paper proposes an approach of automatic semantic annotation based on the integration between natural language processing techniques and semantic web technology. A case study on leave of absence correspondence in Thai language is chosen as the domain of interest. Our study shows that the proposed approach verified the effectiveness of semantic annotation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Strasunskas, D., Tomassen, S.L.: A Role of Ontology in Enhancing Semantic Search: the EvOQS Framework and its Initial Validation. International Journal of Knowledge and Learning 4, 398–414 (2009)

    Article  Google Scholar 

  2. Qu, Y., Cheng, G.: Falcons Concept Search: A Practical Search Engine for Web Ontologies. IEEE Transaction on Systems, Man, and Cybernetic—Part A: Systems and Humans 41 (2011)

    Article  Google Scholar 

  3. Kiyavitskayaa, N., Zenic, N., Cordy, J.R., Michc, L., Mylopoulosa, J.: Cerno: Light-weight tool support for semantic annotation of textual documents. Data & Knowledge Engineering 68, 1470–1492 (2009)

    Article  Google Scholar 

  4. Urena, V., Cimianob, P., Iriac, J., Handschuhd, S., Vargas-Veraa, M., Mottaa, E., Ciravegnac, F.: Semantic annotation for knowledge management: Requirements and a survey of the state of the art. Web Semantics: Science, Services and Agents on the World Wide Web 4, 14–28 (2006)

    Article  Google Scholar 

  5. Manola, F., Miller, E.: RDF Primer, http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/

  6. Handschuh, S., Staab, S., Studer, R.: Leveraging metadata creation for the Semantic Web with CREAM. In: Günter, A., Kruse, R., Neumann, B. (eds.) KI 2003. LNCS (LNAI), vol. 2821, pp. 19–33. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  7. Torres, D., Diaz, A., Skaf-Molli, H., Molli, P.: Semdrops: A Social Semantic Tagging Approach for Emerging Semantic Data. In: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011 (2011)

    Google Scholar 

  8. Kiryakov, A., Popov, B., Terziev, I., Manov, D., Ognyanoff, D.: Semantic annotation, indexing, and retrieval. Web Semantics: Science, Services and Agents on the World Wide Web 2, 49–79 (2004)

    Article  Google Scholar 

  9. Smine, B., Faiz, R., Descles, J.P.: Extracting Relevant Learning Objects Using a Semantic Annotation Method. In: International Conference on Education and e-Learning Innovation (2012)

    Google Scholar 

  10. Albukhitan, S., Helmy, T.: Automatic Ontology-Based Annotation of Food, Nutrition and Health Arabic Web Content. In: The 4th International Conference on Ambient Systems, Networks and Technologies, ANT 2013 (2013)

    Article  Google Scholar 

  11. Haruechaiyasak, C.: Longlexto: Tokenizing Thai texts using longest matching approach (2006)

    Google Scholar 

  12. Mccarthy, P.: Introduction to Jena: Use RDF Models in Your Java Applications with the Jena Semantic Web Framework, http://www.ibm.com/developerworks/xml/library/j-jena/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Siraya Sitthisarn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Sitthisarn, S., Bahoh, B. (2014). Towards Automatic Semantic Annotation of Thai Official Correspondence: Leave of Absence Case Study. In: Boonkrong, S., Unger, H., Meesad, P. (eds) Recent Advances in Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-319-06538-0_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06538-0_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06537-3

  • Online ISBN: 978-3-319-06538-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics