Paper Info
Title
Ontology-based approach for identifying the credibility domain in social Big Data.
Abstract
The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyze the social data at two levels: the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.
Year
DOI
Venue
2018
10.1080/10919392.2018.1517481
JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE
Keywords
Field
DocType
Semantic data extraction,ontology,social Big Data,social media,data analytics,Twitter,alchemyapi,Watson
Ontology (information science),Ontology,Social media,Credibility,Data analysis,Domain knowledge,Information retrieval,Computer science,Knowledge management,Big data,Semantics
Journal
Volume
Issue
ISSN
28
4
1091-9392
Citations 
PageRank 
References 
2
0.35
20
Authors
2
Name
Order
Citations
PageRank
Pornpit Wongthongtham111016.07
Bilal Abu-Salih2255.53