K. Kalaiselvi, P. Rajkumar, M. Ananthi, Info Institute of Engineering, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2015.11.18
International Journal of Advanced Information and Communication Technology
Received On : April 10, 2018
Revised On : May 15, 2018
Accepted On : June 08, 2018
Published On : July 05, 2018
Volume 05, Issue 07
Pages : 891-897
Abstract
Extraction of valuable information from web search engines is not an easy task, since information presented in the web service domain consists of several numbers of pages; several numbers of links, querying Web-based application are encoded in the form of HTML pages, etc. In order to easy extraction of information from webpages web service plays a major important role based on the user given query with application programming interface (API) .Consider a example of the web services for identification of named entity of the singer. The major problem of this API of web service is that if the user asked query as songs which belongs to singer, it might not provider song information even if the information is available in database. This asymmetric relation is even added difficult; since it may possibly show in query strategy with the intention of organize numerous Web service functions. In this paper, propose hybrid hidden markov model (HHMM) to extract the information of singer. In the proposed work we use the hybrid hidden markov model based extraction method for named entity recognition (NER) in information extraction phase .The proposed hybrid hidden markov model (HHMM) which combines the procedure of hidden markov model and particle swarm optimization (PSO) .The parameters of the HMM is tuned using PSO which improves IE results of NER for web services that examine information and distinguish entity. The proposed HHMM takes a set of information of singer with user specified query and extract information of singer for user specified query .The proposed HHMM is fully implemented in real-life data of singer and web services show the useful feasibility results with increased performance.
Keywords
Information Extraction, Named Entity Recognition, Hidden Markov Model, Web Services.
Cite this article
K. Kalaiselvi, P. Rajkumar, M. Ananthi, “Hybrid Hidden Markov Model based Named Entity Recognition Information Extraction for Web Services” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.891-897, July 05, 2018.
Copyright
© 2018 K. Kalaiselvi, P. Rajkumar, M. Ananthi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.