About: Social media mining for smart cities and smart villages research

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Social media mining for smart cities and smart villages research
Creator	Jussila, Jari Lytras, Miltiadis Visvizi, Anna
Source	Medline; PMC
abstract	The imperative of well-being and improved quality of life in smart cities context can only be attained if the smart services, so central to the concept of smart cities, correspond with the needs, expectations and skills of cities’ inhabitants. Considering that social media generate and/or open real-time entry points to vast amounts of data pertinent to well-being and quality of life, such as citizens’ expectations, opinions, as well as to recent developments related to regulatory frameworks, debates, political decisions and policymaking, the big question is how to exploit the potential inherent in social media and use it to enhance the value added smart cities generate. Social mining is traditionally understood as the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data. In the context of smart cities, this special issue focuses on how social media data, also potentially combined with other data, can be used to optimize the efficiency of city operations and services, and thereby contribute more efficiently to citizens’ well-being and quality of life.
has issue date	2020-06-08(xsd:dateTime)
bibo:doi	10.1007/s00500-020-05084-3
bibo:pmid	32837290
has license	no-cc
sha1sum (hex)	24c8de119db1508a42f1c2f2671d7aee9aeaa58c
schema:url	https://doi.org/10.1007/s00500-020-05084-3
resource representing a document's title	Social media mining for smart cities and smart villages research
has PubMed Central identifier	PMC7278232
has PubMed identifier	32837290
schema:publication	Soft comput
resource representing a document's body	covid:24c8de119db1508a42f1c2f2671d7aee9aeaa58c#body_text
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