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Ontology Implementation and Methodology Revisited Using Topic Maps based Medical Information Retrieval System

토픽맵 기반 의학 정보 검색 시스템 구축을 통한 온톨로지 구축 및 방법론 연구

  • Yi, Myong-Ho (School of Library and Information Studies, Texas Woman's University)
  • Received : 2010.05.12
  • Accepted : 2010.07.18
  • Published : 2010.09.30

Abstract

Emerging Web 2.0 services such as Twitter, Blogs, and Wikis alongside the poorlystructured and immeasurable growth of information requires an enhanced information organization approach. Ontology has received much attention over the last 10 years as an emerging approach for enhancing information organization. However, there is little penetration into current systems. The purpose of this study is to propose ontology implementation and methodology. To achieve the goal of this study, limitations of traditional information organization approaches are addressed and emerging information organization approaches are presented. Two ontology data models, RDF/OW and Topic Maps, are compared and then ontology development processes and methodology with topic maps based medical information retrieval system are addressed. The comparison of two data models allows users to choose the right model for ontology development.

트위터, 블로그, 위키 등과 같은 web 2.0 서비스는 구조화가 덜 되어 있고, 정보량 폭증을 감당하기 어렵다는 한계를 갖고 있는 기존의 정보조직 방법을 향상시킬 것을 요구하고 있다. 이 같은 정보조직 방법을 향상시킬 수 있는 방안의 하나로 지난 10년간 온톨로지가 연구자의 주목을 받았음에도 불구하고 현행 시스템에까지 이것이 적극 활용되고 있지는 않은 것으로 보인다. 이 연구는 온톨로지 구축 및 방법론을 제안함으로써 향후 온톨로지의 방향성을 제시하는 것을 목적으로 한다. 이를 위해 이 연구는 기존의 정보조직 방법론의 한계점을 살펴보고, 온톨로지 표현을 위한 데이터 모델을 서로 비교하고 분석하였다. 또한 토픽맵 기반 의학 정보시스템을 통해 온톨로지 구축 단계 및 방법론을 기술하였다.

Keywords

References

  1. Aitchison, J., A. Gilchrist, and D. Bawden, 2000. Thesaurus Construction and Use: A Practical Manual (4th ed.). Chicago: Fitzroy Dearborn.
  2. ANSI/NISO Z39.19-2005. 2005. Guidelines for the Construction, Format, and Management of Monolingual Controlled Vocabularies. Bethesda, MD: NISO Press.
  3. Bean, C. A. 1998(August 25-29). The Semantics of Hierarchy: Explicit Parent-Child Relationships in MeSH Tree Structures. Paper presented at the Proceedings of the 5th International ISKO Conference, Wurzburg, Germany.
  4. Berners-Lee, T. 1998. What the Semantic Web can represent. Retrieved March 5, 2004, from .
  5. Bush, V. 1945. As We May Think. The Atlantic Monthly.
  6. Cardoso, J. 2008. Developing Course Management Systems Using the Semantic Web Semantic Web and Beyond Computing for Human Experience (6: 169-188): Springer.
  7. Demo, B. and A. Angius. 2007. E-learning: Coupling Course Management Systems and Dynamic Taxonomies. Paper presented at the FIND’07 Workshop on Dynamic Taxonomies and Faceted Search, Regensburg, Germany.
  8. Efthimiadis, E. N. 1996. Query Expansion. In M. E. Williams (Ed.), Annual Review of Information Science and Technology (ARIST) (31: 121-187). Medford: Learned Information, Inc.
  9. Fonseca, F. 2007. “The double role of ontologies in information science research.” Journal of the American Society for Information Science and Technology, 58(6): 786-793. https://doi.org/10.1002/asi.20565
  10. Freeman, R. T. 2006. “Topological tree clustering of web search results.” Intelligent Data Engineering and Automated Learning - Ideal 2006, Proceedings, 4224: 789-797. https://doi.org/10.1007/11875581_95
  11. Furnas, G. W., T. K. Landauer, L. M. Gomez, and S. T. Dumais. 1987. “The Vocabulary Problem in Human-System Communication.” Communications of the ACM, 30(11): 964-971. https://doi.org/10.1145/32206.32212
  12. Garshol, L. M. 2002. What Are Topic Maps. Retrieved February 12, 2006, from. .
  13. Garshol, L. M. 2004. “Metadata? Thesauri? Taxonomies? Topic Maps! Making sense of it all.” Journal of Information Science, 30(4): 378-391. https://doi.org/10.1177/0165551504045856
  14. Greenberg, J. 2001. “Optimal query expansion (QE) processing methods with semantically encoded structured thesauri terminology.” Journal of the American Society for Information Science and Technology, 52(6): 487-498. https://doi.org/10.1002/asi.1093
  15. Gruber, T. 1993. What is an Ontology? Retrieved December 12, 2004, from. .
  16. Guarino, N. 1998. Formal ontology and information systems. In N. Guarino (Ed.), Formal ontology and information systems (3-15). Amsterdam: IOS Press.
  17. Gulbrandsen, A. 2006. Conceptual Modeling of Topic Maps with ORM Versus UML. In L. Maicher & J. Park (Eds.), Charting the Topic Maps Research and Applications Landscape (3873: 93-106). Berlin/Heidelberg: Springer.
  18. Guo, Y., Z. Pan, and J. Heflin. 2004. An Evaluation of Knowledge Base Systems for Large OWL Datasets. Paper presented at the Third International Semantic Web Conference, Hiroshima, Japan.
  19. Hearst, M. A. 2006. “Clustering versus faceted categories for information exploration.” Communications of the ACM, 49(4): 59-61.
  20. Hearst, M. A. (n.d). Nobel Prize Winners. Retrieved February 12, 2008, from. .
  21. Ian Horrocks, Bijan Parsia, Patel-Schneider, Peter and J. Hendler. 2005. Semantic Web Architecture: Stack or Two Towers? In Francois Fages & S. Soliman (Eds.), Principles and Practice of Semantic Web Reasoning (37-41). Dagstuhl Castle: Springer.
  22. Jansen, B. J., A. Spink, and T. Saracevic. 2000. “Real life, real users, and real needs: a study and analysis of user queries on the web.” Information Processing & Management, 36(2): 207-227. https://doi.org/10.1016/S0306-4573(99)00056-4
  23. Jonassen, D. H. and B. L. Grabowski. 1993. Hand-Book of Individual Differences: Learning and Instruction. Hillsdale, NJ: Lawrence Erlbaum.
  24. Jun, W. 2006. “Automatic thesaurus development: Term extraction from title metadata.” Journal of the American Society for Information Science and Technology, 57(7): 907-920. https://doi.org/10.1002/asi.20352
  25. Khan, M. and S. Khor. 2004. “Enhanced Web document retrieval using automatic query expansion.” Journal of the American Society for Information Science and Technology, 55(1): 29-40. https://doi.org/10.1002/asi.10341
  26. Kim, H. 2005. “ONTOWEB: Implementing an ontology-based Web retrieval system.” Journal of the American Society for Information Science and Technology, 56(11): 1167-1176. https://doi.org/10.1002/asi.20220
  27. Kim, H., S. Rieh, T. Ahn, and W. Chang. 2004. Implementing an Ontology-Based Knowledge Management System in the Korean Financial Firm Environment. Paper presented at the ASIST AM 04, Providence, Rhode Island.
  28. Kim, J. M., H. Shin, and H. J. Kim. 2007. “Schema and constraints-based matching and merging of Topic Maps.” Information Processing & Management, 43(4): 930-945. https://doi.org/10.1016/j.ipm.2006.08.012
  29. Krishnamurthy, M. 2006. “Library portals: Ontological representation of knowledge on the web.” Information Studies, 12(2): 75-84.
  30. La Barre, K. 2007. “Faceted navigation and browsing features in new OPACs: Robust support for scholarly information seeking?” Knowledge Organization, 34: 78-90.
  31. Leroy, G., and Chen, H. 2005. “Genescene: An ontology-enhanced integration of linguistic and co-occurrence based relations in biomedical texts.” Journal of the American Society for Information Science and Technology, 56(5): 457-468. https://doi.org/10.1002/asi.20135
  32. Leuenberger, M., S. Grossmann, N. Stettler, and J. Herget. 2006. Topic Maps for Image Collections. In L. Maicher & J. Park (Eds.), Charting the Topic Maps Research and Applications Landscape (3873: 107-111). Berlin/Heidelberg: Springer.
  33. Miller, G. A. 1995. “WORDNET - A LEXICAL DATABASE FOR ENGLISH.” Communications of the ACM, 38(11): 39-41.
  34. Molholt, P. 1996. Standardization of Inter-concept Links and their Usage. Paper presented at the 4th International ISKO Conference, Washington, DC.
  35. Muller, H.-M., E. E. Kenny, and P. W. Sternberg. 2004. “Textpresso: An ontology-based information retrieval and extraction system for biological literature.” PLoS Biology, 2(11): 1984-1998.
  36. Naing, M.-M., E.-P. Lim, and R. H. L. Chiang. 2006. “Extracting link chains of relationship instances from a Web site.” Journal of the American Society for Information Science and Technology, 57(12): 1590-1605. https://doi.org/10.1002/asi.20469
  37. Novak, J. D. and B. D. Gowin. 1984. Learning How to Learn. New York: Cambridge University Press.
  38. Ohlms, C. 2002. The Business Potential of Ontology-based Knowledge Management. New York: McKinsey & Company.
  39. Otwell, A. 2002. Comparison of Content Organization Methods Retrieved January 12, 2008, from. .
  40. Pepper, S. 2002. The TAO of Topic Maps. Retrieved January 12, 2006, from. .
  41. Perreault, J. 1965. “Categories and relators: a new schema.” Revue Internationale De La Documentation, 32(4): 136-144.
  42. Peterson, D. 2009. Obama’s Groundbreaking use of the Semantic Web. Retrieved July 1, 2010, from. .
  43. Qin, J. and N. Hernandez. 2006. “Building interoperable vocabulary and structures for learning objects.” Journal of the American Society for Information Science and Technology, 57(2): 280-292. https://doi.org/10.1002/asi.20276
  44. Ramalho, J., G. Librelotto, and P. Henriques. 2006. Metamorphosis - A Topic Maps Based Environment to Handle Heterogeneous Information Resources. In L. Maicher & J. Park (Eds.), Charting the Topic Maps Research and Applications Landscape (3873: 14-25). Berlin/Heidelberg: Springer.
  45. Ras, Z. W. and A. Dardzinska. 2004. “Ontology-based distributed autonomous knowledge systems.” Information Systems, 29(1): 47-58. https://doi.org/10.1016/S0306-4379(03)00033-4
  46. Rice, D. C., J. M. Ryan, and S. M. Samson. 1998. “Using concept maps to assess student learning in the science classroom: Must different methods compete?” Journal of Research in Science Teaching, 35(10): 1103-1127. https://doi.org/10.1002/(SICI)1098-2736(199812)35:10<1103::AID-TEA4>3.0.CO;2-P
  47. Rolletschek, G. 2007. How Search can Profit from Dynamic Taxonomies. Paper presented at the FIND’07 Workshop on Dynamic Taxonomies and Faceted Search, Regensburg, Germany.
  48. Ross, K. A. and A. Janevski. 2005. “Querying faceted databases.” Semantic Web and Databases, 3372: 199-218. https://doi.org/10.1007/978-3-540-31839-2_15
  49. Roth, W. M. and A. Roychoudhury. 1993. “The Concept Map as a Tool for the Collaborative Construction of Knowledge - a Microanalysis of High-school Physics Students.” Journal of Research in Science Teaching, 30(5): 503-534. https://doi.org/10.1002/tea.3660300508
  50. Sacco, G. M. 2007. Research Results in Dynamic Taxonomy and Faceted Search Systems. Paper presented at the FIND’07 Workshop on Dynamic Taxonomies and Faceted Search, Regensburg, Germany.
  51. Schmitz-Esser, W. 1999. “Thesaurus and beyond. An advanced formula for linguistic engineering and information retrieval.” Knowledge Organization, 26(1): 10-29.
  52. Shiri, A. and C. Revie. 2006. “Query expansion behavior within a thesaurus-enhanced search environment: A user-centered evaluation.” Journal of the American Society for Information Science and Technology, 57(4): 462-478. https://doi.org/10.1002/asi.20319
  53. Smith, G., M. Czerwinski, B. Meyers, D. Robbins, G. Robertson, and D. S. Tan. 2006. “FacetMap: A scalable search and browse visualization.” Ieee Transactions on Visualization and Computer Graphics, 12(5): 797-804. https://doi.org/10.1109/TVCG.2006.142
  54. Tseng, Y. 2002. “Automatic thesaurus generation for Chinese documents.” Journal of the American Society for Information Science and Technology, 53(13): 1130-1138. https://doi.org/10.1002/asi.10146
  55. Tzitzikas, Y. 2006. “Revising faceted taxonomies and CTCA expressions.” Advances in Artificial Intelligence, Proceedings, 3955: 600-604. https://doi.org/10.1007/11752912_78
  56. Tzitzikas, Y. 2007. “Evolution of faceted taxonomies and CTCA expressions.” Knowledge and Information Systems, 13: 337-365. https://doi.org/10.1007/s10115-006-0048-0
  57. Williams, C. G. 1998. “Using concept maps to assess conceptual knowledge of function.” Journal for Research in Mathematics Education, 29(4): 414-421. https://doi.org/10.2307/749858
  58. Yi, M. 2006. Ontology as a Technology of Convertgence: Developing a Classification of the ITWF Using Topic Maps. Paper presented at the Annual Conference of the Association of Internet Researchers (AoIR), Brisbane, Australia.
  59. Zeng, M. L. 2005. “Using software to teach thesaurus development and indexing in graduate programs of LIS and IAKM.” Bulletin of the American Society for Information Science and Technology, 11-13.