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In this field, Data Mining and Knowledge Discovery in Databases (KDD), experts try to find meaningful information from huge collections of data. Because this field deals with lots of data, external sources of information can greatly improve the analysis. Hence, several different techniques have been created to mix Semantic Web data with traditional data mining and knowledge finding processes. Here, we will look into various ways to find information that is usually hidden in different branches of science. With the use of Linked Open Data, the survey also describes how it is possible to set up content-based recommender systems. Even though Semantic Web technologies and Linked Open Data showclear potential, there are not enough applications in data mining and KDD using them.

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Integration of Semantic Web and Linked Open Data in Knowledge Representation Systems: A Summary

  • 会议论文

  • 发表日期：

    2026年

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  • M. P. Karthikeyan,
  • Ankita Agarwal,
  • Sanjay Choudhary,
  • Sheryl Gupta,
  • Sadeq Khudhur Thajeel,
  • Hassa M. Al-Jawahry

摘要

In this field, Data Mining and Knowledge Discovery in Databases (KDD), experts try to find meaningful information from huge collections of data. Because this field deals with lots of data, external sources of information can greatly improve the analysis. Hence, several different techniques have been created to mix Semantic Web data with traditional data mining and knowledge finding processes. Here, we will look into various ways to find information that is usually hidden in different branches of science. With the use of Linked Open Data, the survey also describes how it is possible to set up content-based recommender systems. Even though Semantic Web technologies and Linked Open Data showclear potential, there are not enough applications in data mining and KDD using them.