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Literature Survey on Web Based Knowledge Extraction

D.SARAVANAN*

* IFHE University, IBS Hyderabad, Telangana, India.

Periodicity:October - December'2015
DOI : https://doi.org/10.26634/jse.10.2.3734

Abstract

Internet users have increased with increase in technology. People use internet for their business need, education, online marketing, social communication and more. For this purpose, users are forced to use the internet for their day-to-day operation effectiveness. But content in the web is also increased due to various factors. Any user from any place can upload any type of file easily, and all the contents today are available in the form of digital data. From this huge repertoire browsing, the correct web page is a really challenging task to the user. Retrieving the effective and correct content is not an easy job, for which a number of research works have been performed in the field of web extraction. This paper reviews some of the web extraction techniques and methods.

Keywords

Text Mining, Data Mining, Information Extraction, Ontologists, Web Browsers.

How to Cite this Article?

Saravanan, D. (2015). Literature Survey on Web Based Knowledge Extraction. i-manager’s Journal on Software Engineering, 10(2), 38-42. https://doi.org/10.26634/jse.10.2.3734

References

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[3]. Zhiqiang Cai, Danielle S. McNamara, Max Louwerse, Xiangen Hu, Mike Rowe, and Arthur C. Graesser “NLS: A Non-Latent Similarity Algorithm”.

[4]. Kyung Soon, Lee W. Bruce, and Croft James Allan, (2004). “A Cluster-Based Resampling Method for Pseudo- Relevance Feedback”.

[5]. Xing Jiang, and Ah-Hwee Tan, (2005). “Mining Ontological Knowledge from Domain-Specific Text Documents”.

[6]. S.E. Middleton, N.R. Shadbolt, and D.C. De Roure, (2004). “Ontological User Profiling in Recommender Systems,” ACM Trans. Information Systems (TOIS), Vol.22, No.1, pp.54-88.

[7]. G.A. Miller and F. Hristea, (2006). “WordNet Nouns: Classes and Instances,” Computational Linguistics, Vol.32, No.1, pp.1-3.

[8]. D.N. Milne, I.H. Witten, and D.M. Nichols, (2007). “A Knowledge-Based Search Engine Powered by Wikipedia,” Proc. 16th ACM Conf. Information and Knowledge Management (CIKM '07), pp.445-454.

[9]. R. Navigli, P. Velardi, and A. Gangemi, (2003). “Ontology Learning and Its Application to Automated Terminology Translation,” IEEE Intelligent Systems, Vol.18, No.1, pp.22-31.

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