{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T23:02:00Z","timestamp":1784934120680,"version":"3.55.0"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"36","license":[{"start":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T00:00:00Z","timestamp":1677801600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T00:00:00Z","timestamp":1677801600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61373160"],"award-info":[{"award-number":["61373160"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2021210003"],"award-info":[{"award-number":["F2021210003"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the research project of Hebei Province Education Department","award":["QN2020197"],"award-info":[{"award-number":["QN2020197"]}]},{"name":"the research project of Hebei science and technology information processing laboratory"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s00521-023-08373-8","type":"journal-article","created":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T17:02:43Z","timestamp":1677862963000},"page":"25131-25141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Ontology construction and mapping of multi-source heterogeneous data based on hybrid neural network and autoencoder"],"prefix":"10.1007","volume":"35","author":[{"given":"Wenbin","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijian","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongrang","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,3]]},"reference":[{"key":"8373_CR1","first-page":"1","volume":"39","author":"CK Ahlem","year":"2021","unstructured":"Ahlem CK, Aliane H, Guessoum A (2021) Ontology learning: grand tour and challenges. Comput Sci Rev 39:1\u201313","journal-title":"Comput Sci Rev"},{"issue":"2","key":"8373_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJSWIS.315600","volume":"18","author":"W Zhao","year":"2022","unstructured":"Zhao W, Huang J, Fan T et al (2022) A novel compressed sensing-based graph isomorphic network for key node recognition and entity alignment. Int J Semant Web Inf Syst 18(2):1\u201317","journal-title":"Int J Semant Web Inf Syst"},{"issue":"2","key":"8373_CR3","first-page":"54","volume":"3","author":"AM Daoud","year":"2021","unstructured":"Daoud AM, Hosny KM, Mohamed ER (2021) Building a new semantic social network using semantic web-based techniques. Fusion Pract Appl 3(2):54\u201365","journal-title":"Fusion Pract Appl"},{"issue":"6","key":"8373_CR4","first-page":"622","volume":"38","author":"W Lou","year":"2019","unstructured":"Lou W, Wang H, Ju Y (2019) An ontology fusion method based on binary similarity calculation. J China Soc Sci Tech Inf 38(6):622\u2013631","journal-title":"J China Soc Sci Tech Inf"},{"issue":"11","key":"8373_CR5","first-page":"1","volume":"1","author":"M Ramezani Mayiami","year":"2021","unstructured":"Ramezani Mayiami M, Hajimirsadeghi M, Skretting K et al (2021) Bayesian topology learning and noise removal from network data. Discov Internet Things 1(11):1\u20137","journal-title":"Discov Internet Things"},{"issue":"2","key":"8373_CR6","first-page":"44","volume":"2","author":"S Sahoo","year":"2021","unstructured":"Sahoo S, Jha S, Prashar D (2021) A novel approach for spam email filtering using machine learning. J Cybersecur Inf Manag 2(2):44\u201357","journal-title":"J Cybersecur Inf Manag"},{"key":"8373_CR7","first-page":"16","volume":"1","author":"Z Xu","year":"2020","unstructured":"Xu Z, Cheng C, Sugumaran V (2020) Big data analytics of crime prevention and control based on image processing upon cloud computing. J Surveill Secur Saf 1:16\u201333","journal-title":"J Surveill Secur Saf"},{"issue":"11","key":"8373_CR8","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.ins.2018.04.071","volume":"36","author":"X Li","year":"2018","unstructured":"Li X, Li J, Ji Y, Deng P, Li D (2018) Investigation on ontology construction based on thesaurus and its semantic relationships. Inf Sci 36(11):83\u201387","journal-title":"Inf Sci"},{"issue":"11","key":"8373_CR9","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.ins.2018.08.048","volume":"37","author":"S Zheng","year":"2019","unstructured":"Zheng S, Huang Q, Zhang G, LIChen YX (2019) A ontology construction method for user generated content. Inf Sci 37(11):43\u201347","journal-title":"Inf Sci"},{"issue":"1","key":"8373_CR10","first-page":"14","volume":"11","author":"V Rajeswari","year":"2020","unstructured":"Rajeswari V, Kavitha M, Varughese DK (2020) Gro and Wego - algorithmic approaches to integrate the heterogeneous databases and enhance the evaluation of ontology mapping systems in the semantic web. Int J Enterp Netw Manag 11(1):14\u201331","journal-title":"Int J Enterp Netw Manag"},{"issue":"1","key":"8373_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJSWIS.300825","volume":"18","author":"S Mani","year":"2022","unstructured":"Mani S, Annadurai S (2022) An improved structural-based ontology matching approach using similarity spreading. Int J Semant Web Inf Syst 18(1):1\u201317","journal-title":"Int J Semant Web Inf Syst"},{"key":"8373_CR12","doi-asserted-by":"publisher","first-page":"8253","DOI":"10.1007\/s00521-019-04043-w","volume":"31","author":"Y Feng","year":"2019","unstructured":"Feng Y, Fan L (2019) Ontology semantic integration based on convolutional neural network. Neural Comput Applic 31:8253\u20138266","journal-title":"Neural Comput Applic"},{"key":"8373_CR13","first-page":"1","volume":"11","author":"E Kafkas","year":"2019","unstructured":"Kafkas E, Hoehndorf R (2019) Ontology based text mining of gene-phenotype associations: application to candidate gene prediction. Database J Biol Databases Curation 11:1\u20139","journal-title":"Database J Biol Databases Curation"},{"key":"8373_CR14","doi-asserted-by":"crossref","unstructured":"Caldarola EG, Rinaldi AM (2018) A multi-strategy approach for ontology reuse through matching and integration techniques. In: Workshop on formal methods integration international conference on information reuse and integration","DOI":"10.1007\/978-3-319-56157-8_4"},{"key":"8373_CR15","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s00521-020-05057-5","volume":"33","author":"J Lin","year":"2021","unstructured":"Lin J, Zhao Y, Huang W et al (2021) Domain knowledge graph-based research progress of knowledge representation. Neural Comput Applic 33:681\u2013690","journal-title":"Neural Comput Applic"},{"key":"8373_CR16","first-page":"261","volume":"16","author":"S Sivasankari","year":"2018","unstructured":"Sivasankari S, Jacob SG (2018) An automated ontology learning for benchmarking classifier models through gain-based relative-non-redundant (GBRNR) feature selection: a case-study with erythemato. Int J Bus Intell Data Min 16:261\u2013278","journal-title":"Int J Bus Intell Data Min"},{"key":"8373_CR17","doi-asserted-by":"publisher","first-page":"2623","DOI":"10.1007\/s10462-018-9632-4","volume":"52","author":"P Ochieng","year":"2019","unstructured":"Ochieng P, Kyanda S (2019) Ontologies\u2019 mappings validation and annotation enrichment through tagging. Artif Intell Rev 52:2623\u20132650","journal-title":"Artif Intell Rev"},{"key":"8373_CR18","doi-asserted-by":"crossref","unstructured":"Lin Z (2017) Terminological ontology learning based on Lda. In: 2017 4th international conference on systems and informatics (ICSAI). IEEE","DOI":"10.1109\/ICSAI.2017.8248539"},{"issue":"1","key":"8373_CR19","first-page":"40","volume":"43","author":"Y Wang","year":"2018","unstructured":"Wang Y, Gao W (2018) Ontology learning algorithm using distance measure computation. J Southwest China Norm Univ 43(1):40\u201346","journal-title":"J Southwest China Norm Univ"},{"issue":"9","key":"8373_CR20","first-page":"2855","volume":"31","author":"D Chen","year":"2020","unstructured":"Chen D, Zhao H, Zhang X (2020) Semantic mapping methods between the expert view and the ontology view. Ruan Jian Xue Bao\/J Softw 31(9):2855\u20132882","journal-title":"Ruan Jian Xue Bao\/J Softw"},{"key":"8373_CR21","first-page":"1","volume":"28","author":"W Zhao","year":"2022","unstructured":"Zhao W, Li Y, Fan T et al (2022) A novel embedding learning framework for relation completion and recommendation based on graph neural network and multi-task learning. Soft Comput 28:1\u201313","journal-title":"Soft Comput"},{"issue":"10","key":"8373_CR22","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s10844-019-00583-8","volume":"55","author":"A Ippolito","year":"2020","unstructured":"Ippolito A, Junior JRDA (2020) a multi-aspect approach to ontology matching based on bayesian cluster ensembles. J Intell Inf Syst 55(10):95\u2013118","journal-title":"J Intell Inf Syst"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08373-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-08373-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08373-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T15:05:44Z","timestamp":1701270344000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-08373-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,3]]},"references-count":22,"journal-issue":{"issue":"36","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["8373"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-08373-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,3]]},"assertion":[{"value":"7 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest with any financial organizations regarding the material reported in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}