Fuzzification of Web Objects: A Semantic Web Mining Approach
Web Mining is becoming essential to support the web administrators and web users in multi-ways such as information retrieval; website performance management; web personalization; web marketing and website designing. Due to uncontrolled exponential growth in web data, knowledge base retrieval has become a very challenging task. The one viable solution to the problem is the merging of conventional web mining with semantic web technologies. This merging process will be more beneficial to web users by reducing the search space and by providing information that is more relevant. Key web objects play significant role in this process. The extraction of key web objects from a website is a challenging task. In this paper, we have proposed a framework, which extracts the key web objects from web log file and apply a semantic web to mine actionable intelligence. This proposed framework can be applied to non-semantic web for the extraction of key web objects. We also have defined an objective function to calculate key web object from users perspective. We named this function as key web object function. KWO function helps to fuzzify the extracted key web objects into three categories as Most Interested, Interested, and Least Interested. Fuzzification of web objects helps us to accommodate the uncertainty among the web objects of being user attractive. We also have validated the proposed scheme with the help of a case study.
Keywords: Semantic Web Mining, Web Mining, Key web Objects, Website Ontology, Web Log File, Object Objective Function, Fuzzification.
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ABOUT THE AUTHORS
Tasawar Hussain
Mr. Tasawar Hussain received his MS(CS) degree from the Department of Computer Sciences, Muhammad Ali Jinnah University, Islamabad, Pakistan in 2010. Previously, he obtained the M.Sc degree in Mathematics from Peshawar University, Peshawar, Pakistan in 1995. Currently, Mr. Hussain is a PhD (CS) scholar at Muhammad Ali Jinnah University, Islamabad, Pakistan. His research activities are in the areas of data mining, web mining, semantic web mining and constraint base mining.
Muhammad Abdul Qadir
Dr Muhammad Abdul Qadir is a professor in Faculty of Engineering & Sciences at Mohammad Ali Jinnah University, Islamabad, Pakistan. He is the head of the CDSC (Center for Distributed & Semantic Computing) research group http://www.cdsc.jinnah.edu.pk). Dr. M.A. Qadir received the MSc degree in electronics from Quaid-i-Azam University Islamabad, Pakistan, and the PhD degree from University of Surrey, UK in parallel processing/distributed computing. His research activities are in the areas of grid computing, parallel processing, distributed computing and context aware computing. Dr. M.A. Qadir is a member of IEEE.
Sohail Asghar
Dr. Sohail. Asghar is a Director at University Institute Information Technology, University of Arid Agriculture, Rawalpindi, Pakistan. Previously he was Associate Professor in Department of Computer Sciences at the Mohammad Ali Jinnah University, Islamabad, Pakistan and was Assistant Professor of Information Technology and Head of R&D, Faculty of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan. Formerly he was Research Associate and Assistant Lecturer in Clayton School of Information Technology, Faculty of Information Technology at Monash University, Melbourne, Australia. In 1994, he graduated with honors in Computer Science from the University of Wales, United Kingdom. From 1994 to 2002, he worked as a Senior Software Engineer in a software company in Islamabad. He then obtained his PhD in Information Technology at Monash University, Melbourne Australia in 2006. http://sohailasghar.wordpress.com
Tasawar Hussain
Mr. Tasawar Hussain received his MS(CS) degree from the Department of Computer Sciences, Muhammad Ali Jinnah University, Islamabad, Pakistan in 2010. Previously, he obtained the M.Sc degree in Mathematics from Peshawar University, Peshawar, Pakistan in 1995. Currently, Mr. Hussain is a PhD (CS) scholar at Muhammad Ali Jinnah University, Islamabad, Pakistan. His research activities are in the areas of data mining, web mining, semantic web mining and constraint base mining.
Muhammad Abdul Qadir
Dr Muhammad Abdul Qadir is a professor in Faculty of Engineering & Sciences at Mohammad Ali Jinnah University, Islamabad, Pakistan. He is the head of the CDSC (Center for Distributed & Semantic Computing) research group http://www.cdsc.jinnah.edu.pk). Dr. M.A. Qadir received the MSc degree in electronics from Quaid-i-Azam University Islamabad, Pakistan, and the PhD degree from University of Surrey, UK in parallel processing/distributed computing. His research activities are in the areas of grid computing, parallel processing, distributed computing and context aware computing. Dr. M.A. Qadir is a member of IEEE.
Sohail Asghar
Dr. Sohail. Asghar is a Director at University Institute Information Technology, University of Arid Agriculture, Rawalpindi, Pakistan. Previously he was Associate Professor in Department of Computer Sciences at the Mohammad Ali Jinnah University, Islamabad, Pakistan and was Assistant Professor of Information Technology and Head of R&D, Faculty of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan. Formerly he was Research Associate and Assistant Lecturer in Clayton School of Information Technology, Faculty of Information Technology at Monash University, Melbourne, Australia. In 1994, he graduated with honors in Computer Science from the University of Wales, United Kingdom. From 1994 to 2002, he worked as a Senior Software Engineer in a software company in Islamabad. He then obtained his PhD in Information Technology at Monash University, Melbourne Australia in 2006. http://sohailasghar.wordpress.com
