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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2021-10-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2021071 |
| _version_ | 1818138330853801984 |
|---|---|
| author | SUN Liuqian, WEI Yuliang, WANG Bailing |
| author_facet | SUN Liuqian, WEI Yuliang, WANG Bailing |
| author_sort | SUN Liuqian, WEI Yuliang, WANG Bailing |
| 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. |
| first_indexed | 2024-12-11T10:10:29Z |
| format | Article |
| id | doaj.art-b33283d75fbc46d3b20cd9781ec4b1f8 |
| institution | Directory Open Access Journal |
| issn | 2096-109X |
| language | English |
| last_indexed | 2024-12-11T10:10:29Z |
| 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-b33283d75fbc46d3b20cd9781ec4b1f82022-12-22T01:11:46ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2021-10-017514915510.11959/j.issn.2096-109x.2021071Novel similarity calculation method of multisource ontology based on graph convolution networkSUN Liuqian, WEI Yuliang, WANG Bailing0School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, ChinaIn 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.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2021071heterogeneous data fusiongraph convolution networkontology mappingsimilarity calculation |
| spellingShingle | SUN Liuqian, WEI Yuliang, WANG Bailing 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.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2021071 |
| work_keys_str_mv | AT sunliuqianweiyuliangwangbailing novelsimilaritycalculationmethodofmultisourceontologybasedongraphconvolutionnetwork |