Malik Javed Akhtar1, Zahur Ahmad1, Rashid Amin1, *, Sultan H. Almotiri2, Mohammed A. Al Ghamdi2, Hamza Aldabbas3
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2639-2663, 2020, DOI:10.32604/cmc.2020.011485
Abstract A large amount of data is present on the web which can be used for useful
purposes like a product recommendation, price comparison and demand forecasting for a
particular product. Websites are designed for human understanding and not for machines.
Therefore, to make data machine-readable, it requires techniques to grab data from web
pages. Researchers have addressed the problem using two approaches, i.e., knowledge
engineering and machine learning. State of the art knowledge engineering approaches use
the structure of documents, visual cues, clustering of attributes of data records and text
processing techniques to identify data records on a web page.… More >
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