DocumentCode :
1866306
Title :
Chinese enterprise knowledge graph construction based on Linked Data
Author :
Qingliang Miao ; Yao Meng ; Bo Zhang
Author_Institution :
Fujitsu R&D Center Co., Ltd., Beijing, China
fYear :
2015
fDate :
7-9 Feb. 2015
Firstpage :
153
Lastpage :
154
Abstract :
Enterprise knowledge graph is crucial for both enterprises and their management agencies. However, enterprise knowledge graph construction faces several challenges such as heterogeneous taxonomies, knowledge inconsistencies or conflicts and lack of semantic links. In this paper, we use Linked Data paradigm to construct enterprise knowledge graph by integrating heterogeneous enterprise data itself as well as link enterprise data with external data. Preliminary experiment on real world dataset shows the proposed approach is effective.
Keywords :
business data processing; data integration; knowledge management; Chinese enterprise knowledge graph construction; enterprise data integration; heterogeneous enterprise data; heterogeneous taxonomies; knowledge conflicts; knowledge inconsistencies; linked data paradigm; semantic links; Joining processes; Patents; Enterprise Data Integration; Entity Linking; Knowledge Validation; Linked Data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Computing (ICSC), 2015 IEEE International Conference on
Conference_Location :
Anaheim, CA
Type :
conf
DOI :
10.1109/ICOSC.2015.7050795
Filename :
7050795
Link To Document :
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