Notice of Violation of IEEE Publication Principles: Contemporary semantic search using Natural Language processing

Notice of Violation of IEEE Publication Principles

"Contemporary Semantic Search using Natural Language Processing"
by N. Anish Kumar, Senduru Srinivasulu, M.N. Dinesh Kanna
in the Proceedings of the International Conference on Smart Technology and Management for Computing, Communication, Controls, Energy and Materials, May 2015, pp. 30-38

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper reuses text and figures from the paper cited below. The original content was reused without sufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

"SWSNL: Semantic Web Search Using Natural Language"
by Ivan Habernal, Miloslav Konopik
in Expert Systems with Applications, 40, Elsevier, 2013, pp. 3649-3664


In advanced search engines queries are being expressed in natural language as it seems to be the next step for developing future systems. Hence, users can express what they are searching for in a sentence form. The Semantic Web framework is our chosen field. This approach is to build a complete and meaningful Web Search using a Natural Language system. The process is complete when it covers pre-processing, Semantic analysis, semantic interpretation, and the way of executing a SPARQL query in order to obtain the results. The domain deals with the existing portal of accommodation. A corpus of different queries is being used from the facebook campaign. Furthermore, the Natural Language Understanding (NLU) module is evaluated with respect to another domain (public transportation) and a language (English). The performance of Semantic web enhances a decently sized knowledge base and also others.