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...

Full description

Bibliographic Details
Main Authors: Emanuela Mitreva, Alexandra Nikolova, Vladimir Georgiev
Format: Article
Language:English
Published: Bulgarian Academy of Sciences, Institute of Mathematics and Informatics 2021-09-01
Series:Digital Presentation and Preservation of Cultural and Scientific Heritage
Subjects:
Online Access:https://dipp.math.bas.bg/dipp/article/view/88
_version_ 1811197498119684096
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