Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
An Approach for Knowledge Extraction Using Ontology Construction and Machine Learning Techniques
Dhanasekaran K, Rajeswari R
Pages - 21 - 31     |    Revised - 15-07-2012     |    Published - 10-08-2012
Volume - 3   Issue - 1    |    Publication Date - October 2012  Table of Contents
Back Propagation, Domain Ontology, Knowledge Extraction, Agricultural Environment
In recent research, Ontology construction plays a major role for transforming raw texts into useful knowledge. The proposed method supports efficient retrieval with the help of ontology and applies combined techniques to train the data before taking into testing process. The proposed approach used the phrase-pairs to extract useful knowledge and utilized data mining techniques and neural network approach to express the knowledge well and also it improves the search speed and accuracy of information retrieval. This method avoids noise generation by analyzing the relevancy of tags to the retrieval process and shows somewhat better recall value compared to other methods. In this approach an optimized reasoner applied to reduce complexity in the key inference problem. The formulated ontology can help clearly expressing its meaning for various concepts and relations. Due to the increasing size of ontology repository, the matching process may take more time. To avoid this, this method forms a hierarchical structure with semantic interpretation of data. The system designed to eliminate domain-dependency with the help of dynamic labeling scheme using ontology as a base. In this paper, our proposed models were presented with ontology description using Ontology Web Language (OWL).
CITED BY (0)  
1 Google Scholar
2 CiteSeerX
3 refSeek
4 Scribd
5 SlideShare
6 PdfSR
1 A.Thunkijjanukij, A.Kawtrakul, S.Panichsakpatana , U.Veesommai.” Lesson learned for ontology construction with Thai rice case study”. “in press”.World Conference on agricultural information and IT,2008,pp.495-502.
2 W.Bi-long , H.Li.”Method of building petroleum exploration and production domain ontology”.“in press” Computer Engineering and Applications, 2009.pp.1-3.
3 Z.Rui-ling, X.Hong-sheng.”Using Bayesian network and neural network constructing domain ontology”.“in press” World Congress on Computer Science and Information Engineering, 2009, IEEE 2008, pp.116-231.
4 Guarino.N. “Formal ontology in information systems”.“in press”, in Proc.IOS,1998.
5 Elena P,Sapozhnikova.” Multi-label classification with art neural networks”. “in press” Second International Workshop on Knowledge Discovery and Data Mining, 2009 IEEE,pp.144-147.
6 X.LI, l.ZHAO, l.WU.”A feature extraction method using base phrase and keyword in Chinese text”. “in press” in Proc. 3rd International Conference on Intelligent System and Knowledge Engineering,pp.680-685, 2008 IEEE.
7 S.Zhao R.Grishman,”Extracting Relations with Integrated Information Using Kernel Methods”, “in press” in Proc.43rd Annual Meeting of the ACL, pp. 419–426, Ann Arbor, Jun.2005.
8 A.Nag!, S. Biswas*, D. Sarkar*, P.P. Sarkar*, B. Gupta**.(2010,Jun.). “A Simple Feature Extraction Technique of a Pattern By Hopfield Network”, “in press” International Journal of Advancements in Technology, ISSN 0976-4860, Vol 1, No 1,pp.45-49.
9 H.Liu1, 3, A.Abraham2, and B.Yue3,” Nature Inspired Multi-Swarm Heuristics for MultiKnowledge Extraction”, “in press” Advances in Machine Learning II, pp. 445–466, 2010.
10 Spyns,P.”EvaLexon:Assessing triples mined from texts”.Technical Report 09,STAR Lab,Brussels,Belgium,2005.
11 Velardi,P.,et al.”Evaluation of OntoLearn,a methodology for automatic learning of domain ontologies.In:Ont.Learning from Text:Methods Evaluation and Applications”.IOS Press,2005.
12 Weng,S.,Tsai,H,Liu,S.,and Hsu,C.”Ontology Construction for information classification,Expert Systems with Applications”,pp.1-12.
13 Christine W. Chan.(2004)“From Knowledge Modeling to Ontology Construction”.International Journal of Software Engineering and Knowledge Engineering (IJSEKE).
14 G.Cui, Q.Lu, W.Li, Y.Chen.Corpus Exploitation from Wikipedia for Ontology Construction:pp.2125-2132.
15 C.Chou, F.Zahedi, H.Zhoa.”Ontology for developing websites for natural disaster management: methodology and implementation”, 2008.
16 Harith Alani.”Position paper: Ontology construction from online ontologies”.in Proc. the 15th international conference on World Wide Web . 2006,pp. 491 - 495.
17 Antonio M. Rinaldi.“An Ontology-Driven Approach for Semantic Information Retrieval on the Web”. In ACM Transactions on Internet Technologies, 2009,Vol. 9, Article 10.
18 X.Binfeng,Luo, Xiaogang P.Cenglin, H.Qian.”Based on ontology: construction and application of medical knowledge base”.IEEE International conference on complex medical engineering, 2007,pp.586- 589.
19 A.Rafea, Hesham A. Hassan, M.Yehia Dahab.”TextOntoEx: Automatic Ontology Construction from Natural English Text”. International conference of Artificial Intelligence and Machine Learning, 2006.
20 A.A. Barforoush, S.Soltani.( 2009).”Web Pages Classification Using Domain Ontology and Clustering”. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI),.
21 A.Moreno and D.Sánchez.(2008).“Learning non-taxonomic relationships from web documents for domain ontology construction”.Intl.jl.of Data and Knowledge Engineering.
22 S. Hubner, H.Neumann, H.Stuckenschmidt, G.Schuster, T.Vogele, U.Visser,H.Wache.”Ontology-Based Integration of Information-A survey of Existing Approaches”.2001.
23 M.A. Ismail, M.Yaacob & S.A.Kareem.”Ontology Construction: An Overview”.Malaysia,2006.
24 Thai National AGRIS Centre,Dept.of Soil Science,Faculty of Agriculture,Kasetsart University,Dept.of Computer Engineering,Kasetsart University,(2009).”Rice Production Knowledge Management:Criteria for Ontology Development”.Thai Journal of Agricultural Science, Thailand.
Mr. Dhanasekaran K
Dr.Mahalingam College of Engineering & Technology,PACET,Info Institute of Engineering - India
Dr. Rajeswari R
- India