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