DC FieldValueLanguage
dc.contributor.authorVassilakis, Costas-
dc.contributor.authorManiataki, Dimitra-
dc.contributor.authorLepouras, George-
dc.contributor.authorAntoniou, Angeliki-
dc.contributor.authorSpiliotopoulos, Dimitris-
dc.contributor.authorPoulopoulos, Vassilis-
dc.contributor.authorWallace, Manolis-
dc.contributor.authorMargaris, Dionisis-
dc.date.accessioned2023-10-24T06:24:30Z-
dc.date.available2023-10-24T06:24:30Z-
dc.date.issued2020-
dc.identifierscopus-85103695087-
dc.identifier.isbn9781728110561-
dc.identifier.other85103695087-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/608-
dc.description.abstractEvery day, many people use at least one social network (or social media) account. This development has been boosted by the rapid growth of technology, making both smartphones and mobile data much more accessible and inexpensive. Therefore, the number of social networks users is growing rapidly, accounting more than 1 billion active users worldwide. The ease of use, as well as the ability to communicate without spatial and temporal restrictions underpinned the rapid increase of the popularity of social networks, as well as their wide acceptance by the general public. This popularity influences people's opinion on many issues, shapes consumer habits and behaviour, mood, etc. The work of many scientists across multiple disciplines has focused on studying social media from various perspectives, including marketing, journalism and sociology. This paper investigates how trending information from social media can be used to match topics of interest from cultural database indices. Matches identified in this process are then presented to cultural venue curators, who can then review matches, mark them as useful or reject them, and exploit them for various tasks, and most notably for the promotion of the venue and its content. More specifically, we have developed an application, which collects the 10 most popular twitter trends and then matches their content with the contents of a given cultural database. Using the results of this match, items from the database that may be related to current issues may be recommended to the user. As a result, these matches, after being inspected and approved by the administrator, can be used to attract the interest of the target audience, highlighting the correlation of current issues with the database's items.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020en_US
dc.subjectApplicationen_US
dc.subjectBusiness Intelligenceen_US
dc.subjectExtractionen_US
dc.subjectKnowledge Enrichmenten_US
dc.subjectProcessingen_US
dc.subjectSocial Networksen_US
dc.subjectTrending Topicsen_US
dc.titleDatabase Knowledge Enrichment Utilizing Trending Topics from Twitteren_US
dc.typeConference Paperen_US
dc.relation.conference2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020en_US
dc.identifier.doi10.1109/ASONAM49781.2020.9381421en_US
dc.identifier.scopus2-s2.0-85103695087-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage870en_US
dc.identifier.epage876en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-3452-1168-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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