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Kalpana Ramanujam

Work place: Pondicherry Engineering College, Pillaichavady, Puducherry, India

E-mail: rkalpana@pec.edu

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Research Interests: Computer systems and computational processes, Autonomic Computing, Distributed Computing, Parallel Computing

Biography

Kalpana Ramanujam is currently working as Professor in the Department of Computer Science and Engineering at Pondicherry Engineering College, Puducherry, India. She received her B.Tech. degree in Computer Science and Engineering from Pondicherry University, Puducherry, India in the year 1996 and M. Tech. degree in Computer Science and Engineering from Pondicherry University, Puducherry in1998. She completed her Ph.D in Computer Science & Engineering in the year 2013 in the field of Parallel Computing Systems. She joined as Lecturer in Department of Computer Science & Engineering, Pondicherry Engineering College, Puducherry in the year 2000. Subsequently she was promoted as Assistant Professor in the Department of Computer Science & Engineering, Pondicherry Engineering College, Puducherry in the year 2007 and elevated as Associate Professor in the year 2010. She is presently holding the post of Professor. Her areas of interest include Parallel Computing Systems, High Performance Computing, Web services and Distributed Computing. She has published more than 30 research papers in International Journals / Conferences. She is also a member of ISTE.

Author Articles
Web Data Extraction from Scientific Publishers’ Website Using Heuristic Algorithm

By Umamageswari Kumaresan Kalpana Ramanujam

DOI: https://doi.org/10.5815/ijisa.2017.10.04, Pub. Date: 8 Oct. 2017

WWW is a huge repository of information and the amount of information available on the web is growing day by day in an exponential manner. End users make use of search engines like Google, Yahoo, and Bingo etc. for retrieving information. Search engines use web crawlers or spiders which crawl through a sequence of web pages in order to locate the relevant pages and provide a set of links ordered by relevancy. Those indexed web pages are part of surface web. Getting data from deep web requires form submission and is not performed by search engines. Data analytics and data mining applications depend on data from deep web pages and automatic extraction of data from deep web is cumbersome due to diverse structure of web pages. In the proposed work, a heuristic algorithm for automatic navigation and information extraction from journal’s home page has been devised. The algorithm is applied to many publishers website such as Nature, Elsevier, BMJ, Wiley etc. and the experimental results show that the heuristic technique provides promising results with respect to precision and recall values.

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