Abstract
A novel approach is proposed in this paper to aid real-time enterprise ontology evolution in a continuous fashion. Automatic semantic aliasing (ASA) and text mining (TM) are the two collaborating mechanisms (together known as ASA&TM) that support this approach. The text miner finds new knowledge items from open sources (e.g. the web or given repertoires), and the ASA mechanism associates all the canonical knowledge items in the ontology and those found by text mining via their degrees of similarity. Real-time enterprise ontology evolution makes the host system increasingly smarter because it keeps the host system’s ontological knowledge abreast of the contemporary advances. The ASA&TM approach was verified in the Nong’s mobile clinics based pervasive TCM (Traditional Chinese Medicine) clinical telemedicine environment. All the experimental results unanimously indicate that the proposed approach is definitively effective for the designated purpose.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wong, J.H.K., Wong, A., Lin, W.W.K., Dillon, T.S.: Dynamic Buffer Tuning: An Ambience-Intelligent Way for Digital Ecosystem. In: Proc. Of the 2nd IEEE International Conference on Digital Ecosystems and Technologies (IEEE-DEST 2008), Phitsanulok, Thailand (February 2008)
Lin, W.W.K., Wong, J.H.K., Wong, A.K.Y.: Applying Dynamic Buffer Tuning to Help Pervasive Medical Consultation Succeed. In: Proc. of the 1st International Workshop on Pervasive Digital Healthcare (PerCare), IEEE PerCom 2008, Hong Kong, March 2008, pp. 184–191 (2008)
Lacroix, A., Lareng, L., Rossignol, G., Padeken, D., Bracale, M., Ogushi, Y., Wootton, R., Sanders, J., Preost, S., McDonald, I.: G-7 Global Healthcare Applications Sub-project 4, March 1999. Telemedicine Journal (1999)
Kaar, J.F.: International Legal Issues Confronting Telehealth Care. Telemedicine Journal (March 1999)
Rifaieh, R., Benharkat, A.: From Ontology Phobia to Contextual Ontology Use in Enterprise Information System. In: Taniar, D., Rahayu, J. (eds.) Web Semantics & Ontology, Idea Group Inc. (2006)
Uschold, M., King, M., Moralee, S., Zorgios, Y.: The Enterprise Entology, Artificial Intelligence Applications Institute, University of Edinburg, UK, http://citesee.ist.psu.edu/cache/papers/cs/11430/ftp:zSzzSzftp.aiai.ed..ac.ukzSzpubzSzdocumentszSz1998zSz98-ker-ent-ontology.pdf/uschold95enterprise.pdf
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Guarino, N., Giaretta, P.: Ontologies and Knowledge Bases: Towards a Terminological Clarification. In: Towards very large knowledge bases: Knowledge building and knowledge sharing, pp. 25–32. ISO Press, Amsterdam (1995)
Ng, S.C.S., Wong, A.K.Y.: RCR – A Novel Model fro Effective Computer-Aided TCM (Traditional Chinese Medicine) Learning over the Web. In: The International Conference on Information Technology in Education (CITE 2008), Wuhan, China (July 2008)
WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region, World Health Organization (2007) ISBN 978 92 9061 248 7
Holzman, L.E., Fisher, T.A., Galitsky, L.M., Kontostathis, A., Pottenger, W.M.: A Software Infrastructure for Research in Textual Data Mining. The International Journal on Artificial Intelligence Tools 14(4), 829–849 (2004)
Bloehdorn, S., Cimiano, P., Hotho, A., Staab, S.: An Ontology-based Framework for Text Mining. LDV Forum – GLDV Journal for Computational Linguistics and Language Technology 20(1), 87–112 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wong, J.H.K., Lin, W.W.K., Wong, A.K.Y. (2008). Real-Time Enterprise Ontology Evolution to Aid Effective Clinical Telemedicine with Text Mining and Automatic Semantic Aliasing Support. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008. Lecture Notes in Computer Science, vol 5332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88873-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-540-88873-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88872-7
Online ISBN: 978-3-540-88873-4
eBook Packages: Computer ScienceComputer Science (R0)