Automatic embedding of social network profile links into knowledge graphs

Hazimeh, Hussein (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Mugellini, Elena (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Ruffieux, Simon (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Abou Khaled, Omar (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Cudré-Mauroux, Philippe (eXascale Infolab, University of Fribourg, Fribourg, Switzerland)

Recent Knowledge Graphs (KGs) like Wikidata and YAGO are often constructed by incorporating knowledge from semi-structured heterogeneous data resources such as Wikipedia. However, despite their large amount of knowledge, these graphs are still incomplete. In this paper, we posit that Online Social Networks (OSNs) can become prominent data resources comprising abundant knowledge about real-world entities. An entity on an OSN is represented by a profile; the link to this profile is called a social link. In this paper, we propose a KG refinement method for adding missing knowledge to a KG, i.e., social links. We target specific entity types, in the scientific community, such as researchers. Our approach uses both scholarly data resources and existing KG for building knowledge bases. Then, it matches this knowledge with OSNs to detect the corresponding social link(s) for a specific entity. It uses a novel matching algorithm, in combination with supervised and unsupervised learning methods. We empirically validate that our system is able to detect a large number of social links with high confidence.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
HumanTech - Technology for Human Wellbeing Institute
Subject(s):
Economie/gestion
Ingénierie
Publisher:
Da nang City, Viet Nam, 6-7 December 2018
Date:
2018-12
Da nang City, Viet Nam
6-7 December 2018
Pagination:
8 p.
Published in:
Proceedings of the 9th International Symposium on Information and Communication Technology (SoICT 2018), 6-7 December 2018, Da Nang City, Viet Nam
Numeration (vol. no.):
pp. 16-23
DOI:
ISBN:
978-1-4503-6539-0
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-01-22, last modified 2019-04-23

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