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.
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References
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)
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)
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)
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)
Manola, F., Miller, E.: RDF Primer, http://www.w3.org/TR/2004/REC-rdf-concepts-20040210/
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)
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)
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)
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)
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)
Haruechaiyasak, C.: Longlexto: Tokenizing Thai texts using longest matching approach (2006)
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/
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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
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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
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