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Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval

by Riya A. Gandhi, VimalKumar B. Vaghela
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 10
Year of Publication: 2017
Authors: Riya A. Gandhi, VimalKumar B. Vaghela
10.5120/ijca2017913726

Riya A. Gandhi, VimalKumar B. Vaghela . Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval. International Journal of Computer Applications. 163, 10 ( Apr 2017), 25-29. DOI=10.5120/ijca2017913726

@article{ 10.5120/ijca2017913726,
author = { Riya A. Gandhi, VimalKumar B. Vaghela },
title = { Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 10 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number10/27432-2017913726/ },
doi = { 10.5120/ijca2017913726 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:50.545550+05:30
%A Riya A. Gandhi
%A VimalKumar B. Vaghela
%T Novel approach to Case Based Reasoning System by aggregating Semantic Similarity Measures using Fuzzy Aggregation for Case Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 10
%P 25-29
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Natural language Search is used in Case Based Reasoning Systems for searching the solution to the novel problem. This paper presets the model of case based reasoning system that uses the semantic based case retrieval agent to compare two short texts. The proposed method include algorithms which calculate semantic similarity evaluated using different wordnet based semantic similarity measures and fuzzy aggregation. Based on the result, the proposed approach outperforms the results of previous approaches.

References
  1. J.L. Kolodner, An introduction to case-based reasoning, Artif. Intell. Rev. 6 (1) (1992) 3–34.
  2. A. El-Fakdi, F. Gamero, J. Mele´ ndez, V. Auffret, P. Haigron, eXiTCDSS: a framework for a workflow-based CBR for interventional clinical decision support systems and its application to TAVI, Expert Syst. Appl. 41 (2) (2014) 284–294.
  3. A. Aamodt, E. Plaza, Case-based reasoning: foundational issues, methodological variations, and system approaches, AI Commun. 7 (1) (1994) 39–59.
  4. Jia Wei Chang , Ming Che Lee b, Tzone I Wang, “Integrating a semantic-based retrieval agent into case-based reasoning systems: A case study of an online bookstore,” 2015 Elsevier,pp. 15–64.
  5. A. Islam, D. Inkpen, Semantic text similarity using corpus-based word similarity and string similarity, ACM Trans. Knowl. Discov. Data 2 (2) (2008) 1–25. G. Tsatsaronis, I. Varlamis, M. Vazirgiannis, Text relatedness based on a word thesaurus, J. Artif. Intell. Res. 37 (1) (2010) 1–39..
  6. Y. Li, D. McLean, Z.A. Bandar, J.D. O’Shea, K. Crockett, Sentence similarity based on semantic nets and corpus statistics, IEEE Trans. Knowl. Data Eng. 18 (8) (2006) 1138–1150.
  7. J. Oliva, J.I. Serrano, M.D. del Castillo, A´. Iglesias, SyMSS: a syntax-based measure for short-text semantic similarity, Data Knowl. Eng. 70 (4) (2011) 390–405.
  8. G. Tsatsaronis, I. Varlamis, M. Vazirgiannis, Text relatedness based on a word thesaurus, J. Artif. Intell. Res. 37 (1) (2010) 1–39.
  9. R. Rada, H. Mili, E. Bicknell, M. Blettner, Development and application of a metric on semantic nets, IEEE Transactions on Systems, Man and Cybernetics 19 (1)(1987)17–30.
  10. J. Jiang, D. Conrath, Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy, Proceedings on International Conference on Research in computational Linguistics, 1997, pp. 19–33.
  11. P. Resnik, Using Information Content to Evaluate Semantic Similarity in a Taxonomy, Proceedings of the 14th International Joint Conference on Artificial Intelligence, 1995, pp. 448–453.
  12. D. Lin, Using Syntactic Dependency as a Local Context to Resolve Word Sense Ambiguity, Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, 1997, pp. 64–71.
  13. M.P. Marcus, M.A. Marcinkiewicz, B. Santorini, Building a large annotated corpus of English: the Penn Treebank, Comput. Linguist. 19 (2) (1993) 313–330.
  14. Phuc H.Duong, Hien T. Nguyen, Ngoc-Tu Huynh, Measuring Similarity for Short Text on Social Media, Springer 2016.
  15. Jorge Martinez-Gil, CoTo:A novel Approach for fuzzy Aggregation of semantic Similarity Measures, ELSVIER 2016.
  16. J. Vanicˇek, I. Vrana , S. Aly, Fuzzy aggregation and averaging for group decision making:A generalization and survey, 2008 Elsevier, Knowledge-Based Systems 22 (2009) 79–84.
  17. Nasir Bedewi Siraj, Moataz Omar, Aminah Robinson Fayek, Combined Fuzzy Aggregation and Consensus Process for Multi-Criteria Group Decision Making Problems, IEEE 2016, 978-1-5090-4492.
Index Terms

Computer Science
Information Sciences

Keywords

Case Based Reasoning Systems(CBR) Wordnet based semantic similarity measures PATH LCH WUP RES JSN LIN Fuzzy Aggregation.

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