Challenges in Information Mining from Semantic Web Data
R. Gomathi1, S. Logeswari2
1Dr. R. Gomathi, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
2Dr. S. Logeswari, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 16 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript Published on 09 January 2019 | PP: 456-458 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2043017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The quantity of web pages is growing in our day to day life and quantity of semantic web data on the web is also growing quickly. With the raise in information, the semantic web data also gets increased. This becomes a policy for the researchers to use data mining algorithms to manipulate the semantic web data. Although Semantic web has a wide and extensive selection of applications, there is a less amount of investigation in applying the data mining techniques in semantic web. This manuscript explains the research behaviour in the semantic web applications and data mining. It also addresses the challenges faced in this area of investigation.
Keywords: Semantic Web Data, Internet, Data Mining, RDF Data.
Scope of the Article: Data Mining