A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs

A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs

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...

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Bibliographic Details
Main Author: Haklae Kim
Format: Article
Language:English
Published: Korea Institute of Science and Technology Information 2018-09-01
Series:Journal of Information Science Theory and Practice
Subjects:
entity consolidation
knowledge extraction
knowledge graph
knowledge creation
knowledge interlinking
Online Access:http://ocean.kisti.re.kr/downfile/volume/kistiisc/E1JSCH/2018/v6n3/E1JSCH_2018_v6n3_6.pdf
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spelling doaj-0818ebb74598485e85c83099605de4722020-11-25T01:28:32ZengKorea Institute of Science and Technology InformationJournal of Information Science Theory and Practice2287-90992287-45772018-09-0163615https://doi.org/10.1633/JISTaP.2018.6.3.1A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge GraphsHaklae Kim0Korea Institute of Science and Technology InformationWith 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.http://ocean.kisti.re.kr/downfile/volume/kistiisc/E1JSCH/2018/v6n3/E1JSCH_2018_v6n3_6.pdfentity consolidationknowledge extractionknowledge graphknowledge creationknowledge interlinking
collection DOAJ
language English
format Article
sources DOAJ
author Haklae Kim
spellingShingle Haklae Kim
A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
Journal of Information Science Theory and Practice
entity consolidation
knowledge extraction
knowledge graph
knowledge creation
knowledge interlinking
author_facet Haklae Kim
author_sort Haklae Kim
title A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
title_short A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
title_full A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
title_fullStr A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
title_full_unstemmed A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs
title_sort combinational method to determining identical entities from heterogeneous knowledge graphs
publisher Korea Institute of Science and Technology Information
series Journal of Information Science Theory and Practice
issn 2287-9099
2287-4577
publishDate 2018-09-01
description 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.
topic entity consolidation
knowledge extraction
knowledge graph
knowledge creation
knowledge interlinking
url http://ocean.kisti.re.kr/downfile/volume/kistiisc/E1JSCH/2018/v6n3/E1JSCH_2018_v6n3_6.pdf
work_keys_str_mv AT haklaekim acombinationalmethodtodeterminingidenticalentitiesfromheterogeneousknowledgegraphs
AT haklaekim combinationalmethodtodeterminingidenticalentitiesfromheterogeneousknowledgegraphs
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