Novel similarity calculation method of multisource ontology based on graph convolution network
In the information age, the amount of data is growing exponentially.However, different data sources are heterogeneous, which makes it inconvenient to share and multiplex data.With the rapid development of semantic network, ontology mapping is an effective method to solve this problem.The core of ont...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2021-10-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021071 |
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| author | Liuqian SUN Yuliang WEI Bailing WANG |
| author_facet | Liuqian SUN Yuliang WEI Bailing WANG |
| author_sort | Liuqian SUN |
| collection | DOAJ |
| description | In the information age, the amount of data is growing exponentially.However, different data sources are heterogeneous, which makes it inconvenient to share and multiplex data.With the rapid development of semantic network, ontology mapping is an effective method to solve this problem.The core of ontology mapping is ontology similarity calculation.Therefore, a calculation method based on graph convolution network was proposed.Firstly, ontologiesare modeled as a heterogeneous graph network, then the graph convolution network was used to learn the text embedding rules, which made ontologies were definedin global unified representation.Lastly, multisource data fusion was completed.The experimental results show that the accuracy of the proposed method is higher than other methods, and the accuracy of multi-source data fusion was effectively improved. |
| format | Article |
| id | doaj-art-f919238684854963aecb7f0094cec44d |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2021-10-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-f919238684854963aecb7f0094cec44d2025-01-15T03:15:16ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2021-10-01714915559569096Novel similarity calculation method of multisource ontology based on graph convolution networkLiuqian SUNYuliang WEIBailing WANGIn the information age, the amount of data is growing exponentially.However, different data sources are heterogeneous, which makes it inconvenient to share and multiplex data.With the rapid development of semantic network, ontology mapping is an effective method to solve this problem.The core of ontology mapping is ontology similarity calculation.Therefore, a calculation method based on graph convolution network was proposed.Firstly, ontologiesare modeled as a heterogeneous graph network, then the graph convolution network was used to learn the text embedding rules, which made ontologies were definedin global unified representation.Lastly, multisource data fusion was completed.The experimental results show that the accuracy of the proposed method is higher than other methods, and the accuracy of multi-source data fusion was effectively improved.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021071heterogeneous data fusiongraph convolution networkontology mappingsimilarity calculation |
| spellingShingle | Liuqian SUN Yuliang WEI Bailing WANG Novel similarity calculation method of multisource ontology based on graph convolution network 网络与信息安全学报 heterogeneous data fusion graph convolution network ontology mapping similarity calculation |
| title | Novel similarity calculation method of multisource ontology based on graph convolution network |
| title_full | Novel similarity calculation method of multisource ontology based on graph convolution network |
| title_fullStr | Novel similarity calculation method of multisource ontology based on graph convolution network |
| title_full_unstemmed | Novel similarity calculation method of multisource ontology based on graph convolution network |
| title_short | Novel similarity calculation method of multisource ontology based on graph convolution network |
| title_sort | novel similarity calculation method of multisource ontology based on graph convolution network |
| topic | heterogeneous data fusion graph convolution network ontology mapping similarity calculation |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021071 |
| work_keys_str_mv | AT liuqiansun novelsimilaritycalculationmethodofmultisourceontologybasedongraphconvolutionnetwork AT yuliangwei novelsimilaritycalculationmethodofmultisourceontologybasedongraphconvolutionnetwork AT bailingwang novelsimilaritycalculationmethodofmultisourceontologybasedongraphconvolutionnetwork |