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공공누리This item is licensed Korea Open Government License

Title
A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
Author(s)
Kim, Haklae
Publisher
KISTI
Publication Year
2018-09-30
Abstract
With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia. In particular, open knowledge bases play an important role for constructing a new knowledge base by serving as a reference data source. However, identifying the same entities among heterogeneous knowledge sources is not trivial. This study focuses on extracting and determining exact and precise entities, which is essential for merging and fusing various knowledge sources. To achieve this, several algorithms for extracting the same entities are proposed and then their performance is evaluated using real-world knowledge sources.
Keyword
entity consolidation; knowledge extraction; knowledge graph; knowledge creation; knowledge interlinking
Journal Title
Journal of Information Science Theory and Practice;Volume 6 Issue 3
ISSN
2287-4577
DOI
10.1633/JISTaP.2018.6.3.1
Files in This Item:
Thumbnail Kim_v6n3_6-15.pdf1.8 MBDownload
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 6 - No. 3
Type
Article
URI
https://repository.kisti.re.kr/handle/10580/13528
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