Web Mining Techniques Applicable for Cultural Heritage Observations
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...
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Format: | Article |
Language: | English |
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Bulgarian Academy of Sciences, Institute of Mathematics and Informatics
2021-09-01
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Series: | Digital Presentation and Preservation of Cultural and Scientific Heritage |
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Online Access: | https://dipp.math.bas.bg/dipp/article/view/88 |
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author | Emanuela Mitreva Alexandra Nikolova Vladimir Georgiev |
author_facet | Emanuela Mitreva Alexandra Nikolova Vladimir Georgiev |
author_sort | Emanuela Mitreva |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-12T01:15:50Z |
format | Article |
id | doaj.art-c9b9d9658a8b424b92f1dfc38ec351a5 |
institution | Directory Open Access Journal |
issn | 1314-4006 2535-0366 |
language | English |
last_indexed | 2024-04-12T01:15:50Z |
publishDate | 2021-09-01 |
publisher | Bulgarian Academy of Sciences, Institute of Mathematics and Informatics |
record_format | Article |
series | Digital Presentation and Preservation of Cultural and Scientific Heritage |
spelling | doaj.art-c9b9d9658a8b424b92f1dfc38ec351a52022-12-22T03:53:59ZengBulgarian Academy of Sciences, Institute of Mathematics and InformaticsDigital Presentation and Preservation of Cultural and Scientific Heritage1314-40062535-03662021-09-011110.55630/dipp.2021.11.22Web Mining Techniques Applicable for Cultural Heritage ObservationsEmanuela Mitreva0Alexandra Nikolova1Vladimir Georgiev2Sofia University St. Kliment Ohridski, Sofia, BulgariaInstitute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, BulgariaDepartment of Computer Science, American University in Bulgaria, Blagoevgrad, BulgariaThe 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.https://dipp.math.bas.bg/dipp/article/view/88Data MiningRecommendation SystemsCultural HeritageData Collection |
spellingShingle | Emanuela Mitreva Alexandra Nikolova Vladimir Georgiev Web Mining Techniques Applicable for Cultural Heritage Observations Digital Presentation and Preservation of Cultural and Scientific Heritage Data Mining Recommendation Systems Cultural Heritage Data Collection |
title | Web Mining Techniques Applicable for Cultural Heritage Observations |
title_full | Web Mining Techniques Applicable for Cultural Heritage Observations |
title_fullStr | Web Mining Techniques Applicable for Cultural Heritage Observations |
title_full_unstemmed | Web Mining Techniques Applicable for Cultural Heritage Observations |
title_short | Web Mining Techniques Applicable for Cultural Heritage Observations |
title_sort | web mining techniques applicable for cultural heritage observations |
topic | Data Mining Recommendation Systems Cultural Heritage Data Collection |
url | https://dipp.math.bas.bg/dipp/article/view/88 |
work_keys_str_mv | AT emanuelamitreva webminingtechniquesapplicableforculturalheritageobservations AT alexandranikolova webminingtechniquesapplicableforculturalheritageobservations AT vladimirgeorgiev webminingtechniquesapplicableforculturalheritageobservations |