{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T04:25:52Z","timestamp":1767155152924,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T00:00:00Z","timestamp":1567382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Nature Science Foundation of China","award":["No. 61702462, No.61672470, No. 61802352, No.61866008"],"award-info":[{"award-number":["No. 61702462, No.61672470, No. 61802352, No.61866008"]}]},{"name":"Doctoral Research Fund of Zhengzhou University of Light Industry","award":["2017BSJJ046,2018BSJJ039,13501050045"],"award-info":[{"award-number":["2017BSJJ046,2018BSJJ039,13501050045"]}]},{"name":"Scientific &amp; Technological Project of Henan Province","award":["No.182102210607"],"award-info":[{"award-number":["No.182102210607"]}]},{"name":"Second Education Fund for Industry and Education project \u201cDigital Science and Technology, Wisdom for the Future&quot;","award":["2018A01094"],"award-info":[{"award-number":["2018A01094"]}]},{"name":"Foundation of Henan Province Educational Committee","award":["No.17A520064"],"award-info":[{"award-number":["No.17A520064"]}]},{"name":"Fundamental Research Project of Shenzhen Municipality","award":["No.JCYJ20170817115335418"],"award-info":[{"award-number":["No.JCYJ20170817115335418"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Link prediction in knowledge graph is the task of utilizing the existing relations to infer new relations so as to build a more complete knowledge graph. The inferred new relations plus original knowledge graph is the symmetry of completion knowledge graph. Previous research on link predication only focuses on path or semantic-based features, which can hardly have a full insight of features between entities and may result in a certain ratio of false inference results. To improve the accuracy of link predication, we propose a novel approach named Entity Link Prediction for Knowledge Graph (ELPKG), which can achieve a high accuracy on large-scale knowledge graphs while keeping desirable efficiency. ELPKG first combines path and semantic-based features together to represent the relationships between entities. Then it adopts a probabilistic soft logic-based reasoning method that effectively solves the problem of non-deterministic knowledge reasoning. Finally, the relation between entities is completed based on the entity link prediction algorithm. Extensive experiments on real dataset show that ELPKG outperforms baseline methods on hits@1, hits@10, and MRR.<\/jats:p>","DOI":"10.3390\/sym11091096","type":"journal-article","created":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T03:06:14Z","timestamp":1567479974000},"page":"1096","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["ELPKG: A High-Accuracy Link Prediction Approach for Knowledge Graph Completion"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5181-4045","authenticated-orcid":false,"given":"Jiangtao","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"},{"name":"National Digital Switching System Engineering &amp; Technological R&amp;D Center, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqiong","family":"Qiao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangwu","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shenzhen Institute of Information Technology, Shenzhen 518172, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"},{"name":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoqin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"},{"name":"National Digital Switching System Engineering &amp; Technological R&amp;D Center, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongzhong","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0229-2460","authenticated-orcid":false,"given":"Arun Kumar","family":"Sangaiah","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, VIT University, Vellore 632014, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaiguang","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3485-8470","authenticated-orcid":false,"given":"Hongpo","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, China"},{"name":"Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou 450000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Ren","sequence":"additional","affiliation":[{"name":"Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou 450000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.14778\/3236187.3236192","article-title":"Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition","volume":"11","author":"Zheng","year":"2018","journal-title":"Proc. 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