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Data Engineering for Smart Systems pp 159–172Cite as

A Review: Web Content Mining Techniques

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 238)

Abstract

World Wide Web provides a powerful platform that stores and retrieves mass information. It becomes a time-consuming and uncomfortable task to search the information due to its unstructured and heterogeneous nature of data on the World Wide Web. Web mining is one of the popular techniques of data mining that is used to discover and extract useful information from web documents and its services. Web usage mining, web structure, and web content are three different categories of web data mining. Each of these categories has various methods, tools, and approaches to excerpt data from volume of information over the web. This review paper states various issues, while encountering information from the web and also states various problems occurred while finding appropriate information from the web. This paper also introduces different techniques and approaches of web content mining for different types of data. This paper also states various applications of web content mining.

Keywords

  • Web mining
  • Web content mining
  • Web structure mining
  • Web usage mining

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Author information

Authors and Affiliations

  1. Kadi Sarva Vishwavidyalaya University, Gandhinagar, 382021, India

    Priyanka Shah

  2. P.G. Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Anand, 388120, India

    Hardik B. Pandit

Authors
  1. Priyanka Shah
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  2. Hardik B. Pandit
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Editor information

Editors and Affiliations

  1. School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia

    Prof. Priyadarsi Nanda

  2. Manipal University Jaipur, Jaipur, Rajasthan, India

    Prof. Vivek Kumar Verma

  3. Manipal University Jaipur, Jaipur, Rajasthan, India

    Dr. Sumit Srivastava

  4. Manipal University Jaipur, Jaipur, Rajasthan, India

    Rohit Kumar Gupta

  5. Department of Computer Science and Engineering, Malviya National Institute of Technology, Jaipur, Rajasthan, India

    Prof. Arka Prokash Mazumdar

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Cite this paper

Shah, P., Pandit, H.B. (2022). A Review: Web Content Mining Techniques. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2641-8_15

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