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공공누리This item is licensed Korea Open Government License

dc.contributor.author
Kim, Haklae
dc.date.accessioned
2019-08-27T07:19:07Z
dc.date.available
2019-08-27T07:19:07Z
dc.date.issued
2018-09-30
dc.identifier.issn
2287-4577
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/13528
dc.description.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.
dc.format
application/pdf
dc.language.iso
kor
dc.publisher
KISTI
dc.relation.ispartofseries
Journal of Information Science Theory and Practice;Volume 6 Issue 3
dc.title
A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
dc.type
Article
dc.identifier.doi
10.1633/JISTaP.2018.6.3.1
dc.citation.endPage
15
dc.citation.endPage
15
dc.citation.startPage
6
dc.citation.startPage
6
dc.contributor.approver
KOAR, ADMIN
dc.date.dateaccepted
2019-08-27T07:19:07Z
dc.date.datesubmitted
2019-08-27T07:19:07Z
dc.identifier.bibliographicCitation
page. 6 - 15
dc.subject.keyword
entity consolidation
dc.subject.keyword
knowledge extraction
dc.subject.keyword
knowledge graph
dc.subject.keyword
knowledge creation
dc.subject.keyword
knowledge interlinking
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 6 - No. 3
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