DocumentCode :
1866898
Title :
Link scientific publications using linked data
Author :
Qingliang Miao ; Yao Meng ; Lu Fang ; Nishino, Fumihito ; Igata, Nobuyuki
Author_Institution :
Fujitsu R&D Center Co., Ltd., Chaoyang, China
fYear :
2015
fDate :
7-9 Feb. 2015
Firstpage :
268
Lastpage :
271
Abstract :
Scientific publication management services are changing drastically. On the one hand, researchers demand intelligent search services to discover scientific publications. On the other hand, publishers need to incorporate semantic information to better organize their digital assets and make publications more discoverable. For this purpose, we investigate how to manage scientific publications using Linked Data and introduce FELinker, an entity linking component that links scientific publications with DBPedia. In particular, this paper introduces advantages of linking scientific publications with Linked Data, discusses major challenges, and outlines the proposed method. Experiment shows the proposed method could get promising performance in scientific publication linkage.
Keywords :
electronic publishing; scientific information systems; semantic Web; DBPedia; FELinker; digital assets; entity linking component; intelligent search services; linked data; scientific publication linkage; scientific publication management services; semantic information; Couplings; Educational institutions; Joining processes; Scheduling; Entity Linking; Linked Data; Scientific Publication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
Type :
conf
DOI :
10.1109/ICOSC.2015.7050818
Filename :
7050818
Link To Document :
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