Web Mining Techniques Applicable for Cultural Heritage Observations


  • Emanuela Mitreva Sofia University St. Kliment Ohridski, Sofia, Bulgaria
  • Alexandra Nikolova Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
  • Vladimir Georgiev Department of Computer Science, American University in Bulgaria, Blagoevgrad, Bulgaria




Data Mining, Recommendation Systems, Cultural Heritage, Data Collection


The rapid digitalization in the cultural domain generated enormous amounts of data. But that data is not personalized or processed, thus the benefit for different users is limited, due to the variety of users – people learn through different methods. However if techniques used in the last decade to personalize web content are applied to cultural content more users could easily absorb and process the cultural heritage knowledge. Also techniques could be applied to cluster and extract useful knowledge.


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How to Cite

Mitreva, E., Nikolova, A., & Georgiev, V. (2021). Web Mining Techniques Applicable for Cultural Heritage Observations. Digital Presentation and Preservation of Cultural and Scientific Heritage, 11, 253–260. https://doi.org/10.55630/dipp.2021.11.22

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