CFP last date
22 April 2024
Reseach Article

Loose Method for Pattern Classification in Wikipedia using Duality Theorem for Knowledge Acquisition in Neigbouring Words

by Enikuomehin Toyin, Akerele Olubunmi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 2
Year of Publication: 2015
Authors: Enikuomehin Toyin, Akerele Olubunmi
10.5120/21670-4751

Enikuomehin Toyin, Akerele Olubunmi . Loose Method for Pattern Classification in Wikipedia using Duality Theorem for Knowledge Acquisition in Neigbouring Words. International Journal of Computer Applications. 122, 2 ( July 2015), 4-8. DOI=10.5120/21670-4751

@article{ 10.5120/21670-4751,
author = { Enikuomehin Toyin, Akerele Olubunmi },
title = { Loose Method for Pattern Classification in Wikipedia using Duality Theorem for Knowledge Acquisition in Neigbouring Words },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 2 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 4-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number2/21670-4751/ },
doi = { 10.5120/21670-4751 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:30.064659+05:30
%A Enikuomehin Toyin
%A Akerele Olubunmi
%T Loose Method for Pattern Classification in Wikipedia using Duality Theorem for Knowledge Acquisition in Neigbouring Words
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 2
%P 4-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present an approach for structural classification of taxonomies for knowledge acquisition from Wikipedia using standard loose frameworks. Knowledge mapped from WordNet are assigned to corresponding patterns in Wikipedia such that the syse structure are automatically acquired for related patterns and then used for knowledge generation, achievable through Learning. The paper considers the theory of duality principle as posed in Hilbert spaces to describe the operation of two terms related by their linguistic classifications such as hyponyms. Results show that knowledge can be acquired with well formulated pattern, however a lot of gaps still exist which can be solved using manual approaches as that seems to be more efficient based on the experiment conducted.

References
  1. Roxana, G. , Adriana, B. , Oxana, G. , and Dan, M. (2006). Automatic Discovery of part-whole relations. Computations Linguistics, 32:1.
  2. Enikuomehin, O. , Sadiku, A. , & Egbudin, M. (2014). A Critical Review of the Unguided Loose Search (ULS) Process for Natural Language Based Extraction Technique on Relational Databases. Transactions on Machine Learning and Artificial Intelligence, 2(4), 01-11
  3. Wu, F. , & Weld, D. (2008). Automatically refining the wikipedia infobox ontology. Proceedings of the 17th international conference on World Wide Web, 635-644
  4. Auer, S. , Bizer, C. , Kobilarov, G. , Lehmann, J. , Cyganiak, R. , & Ives, Z. (2007). Dbpedia: A nucleus for a web of open data, 722-735
  5. Genc, Y. , Sakamoto, Y. , & Nickerson, J. , (2011). Discovering context: Classifying tweets through a semantic transform based on Wikipedia. Foundations of Augmented Cognition: Directing the future of Adaptive Systems, HCL International July 9-14, Orlando, FL, 484-492
  6. Sameh, A. (2013). A Twitter analytic tool to measure opinion, influence and trust. Journal of Industrial and Intelligent Information, 1(1).
  7. Van Rijsbergen, C. , (2004). The geometry of information retrieval. Vol. 157. Cambridge: Cambridge University Press, ISBN: 0521838053
  8. Amati, G. , & Van Rijsbergen, C. J. (2002). Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Transactions on Information Systems (TOIS), 20(4), 357-389
  9. Van Rijsbergen, C. J. (1986). A non-classical logic for information retrieval. The computer journal, 29(6), 481-485
  10. Klyuev, V. , & Oleshchuk, V. (2011). Semantic retrieval: an approach to representing, searching and summarising text documents. International Journal of Information Technology, Communications and Convergence, 1(2), 221-234
  11. Haspelmath, M. (1999). Optimality and diachronic adaptation. Zeitschrift für Sprachwissenschaft, 18(2), 180-205
  12. Voutilainen, A. (2003). Part-of-speech tagging. The Oxford handbook of computational linguistics, 219-232
  13. Korenius, T. , Laurikkala, J. , Järvelin, K. , & Juhola, M. (2004). Stemming and lemmatization in the clustering of finish text documents. Proceedings of the thirteenth ACM international conference on Information and knowledge management, 625-633
  14. Suh, B. , Convertino, G. , Chi, E. & Pirolli, P. , (2009). The singularity is not near: slowing growth of Wikipedia. Proceedings of the 5th International Symposium on Wikis and Open Collaboration Article No. 8
  15. Callahan, E. , & Herring, S. , (2011). Cultural bias in Wikipedia content on famous persons. Journal of the American society for information science and technology, 62(10), 1899-1915
  16. Bergman, M. K. (2001). White paper: the deep web: surfacing hidden value. Journal of electronic publishing, 7(1).
  17. Navigli, R. , Velardi, P. , & Faralli, S. (2011). A graph-based algorithm for inducing lexical taxonomies from scratch. In IJCAI, 1872-1877
  18. Kristina, T. & Colin, C. (2009). A global model for joint lemmatization and part-of-speech prediction. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP pp. 486-494
Index Terms

Computer Science
Information Sciences

Keywords

Structural classification taxonomy standard loose framework POS