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Kavram Tabanlı Bilgi Geri Getirim Yaklaşımı

Concept-Based Information Retrieval Approach

Journal Name:

  • Bilgi Dünyası

Publication Year:

  • 2007

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
Search engines become incompetent in tackling with the gap caused by differences in vocabularies used by both the authors of documents and users in expressing their information needs. One way to alleviate this problem is to introduce concept based retrieval of information. In this study, a model that can be regarded as an extension of RUBRIC system in some perspectives, but it has some distinct features especially suited for enabling descriptive-level retrieval was proposed and obtained results were evaluated.
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Abstract (Original Language): 
Arama motorları, hem belgelerin yazarları hem de bilgi ihtiyaçlarını açıklayan kullanıcılar tarafından kullanılan sözlükler arasındaki farklar yüzünden ortaya çıkan uçurumlarla başa çıkmada yetersiz hale gelmişlerdir. Bu problemi azaltmanın bir yolu kavram tabanlı bilgi erişimini ortaya koymaktır. Bu çalışmada, bazı perspektiflerde RUBRIC sisteminin bir uzantısı olarak değerlendirilen ancak betimsel düzeyde erişime uygun farklı özellikler içeren bir erişim modeli önerilmekte ve elde edilen sonuçlar değerlendirilmektedir.
FULL TEXT (PDF): 
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  • 1
49-75
  • Turkish

REFERENCES

References: 

Alsaffar, A., Deogun, J., Raghavan, V.V., ve Sever, H. (1999). Concept
based retrieval by minimal term sets. International Symposium on
Methodologies for Intelligent Systems içinde (ss. 114–122). London:
Springer-Verlag.
Belkin, N., Cool, C., Croft, W. ve Callan, J. (1993). The effect of multiple
query representation on information retrieval system performance.
Proceedings of the 16th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Pittsburg 27
June–1 July 1993 içinde (ss. 339–346). Pennsylvania: ACM Press.
Belkin, N., Kantor, P., Fox, E. ve Shaw, J. (1995). Combining the evidence
of multiple query representations for information retrieval. Information
Processing & Management, 31(3), 431–448.
Bookstein, A. ve W. S. Cooper (1976). General mathematical model for
information retrieval systems. Library Quarterly, 46(2),153–167.
Croft, W. (2000). Combining approaches to information retrieval. Advances
in Information Retrieval. Kluwer Academic Publishers içinde (ss.1–36).
Boston: Kluwer Academic Publishers.
Kavram Tabanlı Bilgi Geri Getirim Yaklaşımı Bilgi Dünyası 2007, 8(1): 49-75
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Gauch, S., Wang, G., Gomez ve Profusion, M. (1996). Intelligent fusion from
multiple, distributed search engines. Journal of Universal Computer
Science, 2(9), 637–649.
Klir, G. J., Clair, U.H. ve Yuan, B. (1997). Fuzzy Set Theory: Foundations
and Applications. New Jersey: Prentice Hall.
Lee, J. H. (1995). Combining multiple evidence from different properties of
weighting schemes. Proceedings of the 18th Annual International
ACM-SIGIR Conference on Research and Development in Information
Retrieval içinde (ss. 180–188). Seattle: ACM Press.
Lu, F., Johnsten, T. D., Raghavan, V. V., ve Traylor, D. (1999). Enhancing
Internet search engines to achieve concept-based retrieval.
InForum'99- Improving the Visibility of R & D Information, 8(1), 30–36.
McCune, B. P., Tong, R. M., Dean, J. S., ve Shapiro, D. G. (1985),
RUBRIC: A system for rule-based information retrieval. IEEE
Transactions on Software Engineering, 11(9), 939–944.
Raghavan, V. V. ve H. Sever. (1995). On the reuse of past optimal queries.
Proceedings of 18th ACM International Conference on Research and
Development in Information Retrieval (SIGIR'95) içinde (ss. 344–351).
Seattle: ACM Press.
Raghavan, V. V. ve Yu, C. T. (1979). Experiments on the determination of
the relationships between terms. ACM Transactions on Database
Systems, 4(2), 240–260.
Salton, G. ve McGill, M. J. (1983). Introduction to modern information
retrieval. New York: McGraw-Hill.
Salton, G. (1984). The use of extended Boolean logic in information retrieval.
SIGMOD Conference içinde (ss. 277–285). Boston: ACM Press.
Salton, G. (1988). Automatic text processing. Reading: Addison-Wesley
Publishing Company.
Salton, G. ve Buckley, C. (1988). Term weighting approaches in automatic text
retrieval. Information Processing and Management, 24(5), 513–523.
Salton, G., Fox, E.A. ve Wu, H. (1983). Extended Boolean information
retrieval. Communications of the ACM, 26(11), 1022–1036.
Saracevic, T. ve Kantor, P. A. (1998). Study of information seeking and
retrieving. III. searchers, searchs, and overlap. Journal of American
Society for Information Science, 39(3), 197–216.
Shannon, C.E. ve Weaver, W. (1964). The mathematical theory of
communication. Urbana: University of Illinois Press.
Silberschatz, A., Jorth, H.F. ve Sudarshan, S. (1997). Database system
concepts. New York: McGraw Hill.
Van Rijsbergen, C. J. (1975). Information retrieval. London: Butterworths.

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