{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:00:51Z","timestamp":1743120051073,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031780899"},{"type":"electronic","value":"9783031780905"}],"license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78090-5_23","type":"book-chapter","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T11:44:44Z","timestamp":1733226284000},"page":"277-282","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Method for Integrating Heterogeneous Data into a Knowledge Graph"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6659-8947","authenticated-orcid":false,"given":"Christoph","family":"G\u00f6pfert","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7981-8504","authenticated-orcid":false,"given":"Sheeba","family":"Samuel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6729-2912","authenticated-orcid":false,"given":"Martin","family":"Gaedke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101817","volume":"103","author":"L Li","year":"2020","unstructured":"Li, L., et al.: Real-world data medical knowledge graph: construction and applications. Artif. Intell. Med. 103, 101817 (2020)","journal-title":"Artif. Intell. Med."},{"key":"23_CR2","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.cageo.2017.12.007","volume":"112","author":"C Wang","year":"2018","unstructured":"Wang, C., et al.: Information extraction and knowledge graph construction from geoscience literature. Comput. Geosci. 112, 112\u2013120 (2018)","journal-title":"Comput. Geosci."},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Nayak, A., et al.: Knowledge graph based automated generation of test cases in software engineering. In: Proceedings of the 7th ACM IKDD CoDS and 25th COMAD. pp. 289\u2013295. ACM, New York, NY, USA (2020)","DOI":"10.1145\/3371158.3371202"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Tama\u0161auskait\u0117, G., Groth, P.: Defining a knowledge graph development process through a systematic review. ACM Trans. Softw. Eng. Methodol. 32, 27:1\u201327:40 (2023)","DOI":"10.1145\/3522586"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Al-Zaidy, R.A., Giles, C.L.: Automatic knowledge base construction from scholarly documents. In: Proceedings of the 2017 ACM Symposium on Document Engineering. pp. 149\u2013152. Association for Computing Machinery, New York, NY, USA (2017)","DOI":"10.1145\/3103010.3121043"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Ye, H. et al.: Generative knowledge graph construction: a review (2023)","DOI":"10.18653\/v1\/2022.emnlp-main.1"},{"key":"23_CR7","unstructured":"Kommineni, V.K., et al.: From human experts to machines: an LLM supported approach to ontology and knowledge graph construction (2024)"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Asprino, L., et al.: Knowledge graph construction with a fa\u00e7ade: a unified method to access heterogeneous data sources on the web. ACM Trans Internet Technol. 23 (2023)","DOI":"10.1145\/3555312"},{"key":"23_CR9","unstructured":"Bravo, M. et al.: Methodology for ontology design and construction. Contad. Adm. (2019)"},{"key":"23_CR10","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1007\/s11390-017-1718-y","volume":"32","author":"Z-Q Lin","year":"2017","unstructured":"Lin, Z.-Q., et al.: Intelligent development environment and software knowledge graph. J. Comput. Sci. Technol. 32, 242\u2013249 (2017)","journal-title":"J. Comput. Sci. Technol."},{"key":"23_CR11","first-page":"1869","volume":"118","author":"Z Zhao","year":"2018","unstructured":"Zhao, Z., et al.: Architecture of knowledge graph construction techniques. IJPAM 118, 1869\u20131883 (2018)","journal-title":"IJPAM"},{"key":"23_CR12","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s11704-016-5228-9","volume":"12","author":"J Yan","year":"2018","unstructured":"Yan, J., et al.: A retrospective of knowledge graphs. Front. Comput. Sci. 12, 55\u201374 (2018)","journal-title":"Front. Comput. Sci."},{"key":"23_CR13","unstructured":"Kontokostas, D., Knublauch, H.: Shapes Constraint Language (SHACL) (2017)"},{"key":"23_CR14","doi-asserted-by":"publisher","first-page":"489","DOI":"10.3233\/SW-160218","volume":"8","author":"H Paulheim","year":"2016","unstructured":"Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods. Semantic Web. 8, 489\u2013508 (2016)","journal-title":"Semantic Web."},{"key":"23_CR15","doi-asserted-by":"publisher","first-page":"3245","DOI":"10.3390\/su10093245","volume":"10","author":"T Wu","year":"2018","unstructured":"Wu, T., et al.: A survey of techniques for constructing chinese knowledge graphs and their applications. Sustainability. 10, 3245 (2018). https:\/\/doi.org\/10.3390\/su10093245","journal-title":"Sustainability."},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Liang, J., et al.: How to keep a knowledge base synchronized with its encyclopedia source. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. pp. 3749\u20133755. Melbourne, Australia (2017)","DOI":"10.24963\/ijcai.2017\/524"},{"key":"23_CR17","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1007\/978-3-319-38791-8_13","volume-title":"Web Engineering","author":"S Faisal","year":"2016","unstructured":"Faisal, S., et al.: Co-evolution of RDF datasets. In: Bozzon, A., et al. (eds.) Web Engineering, pp. 225\u2013243. Springer International Publishing, Cham (2016)"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Conlon, M., et al.: VIVO: a system for research discovery. J. Open Source Softw. 4 (2019)","DOI":"10.21105\/joss.01182"}],"container-title":["Lecture Notes in Computer Science","Information Integration and Web Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78090-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T12:09:16Z","timestamp":1733227756000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78090-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"ISBN":["9783031780899","9783031780905"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78090-5_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"4 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"iiWAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Integration and Web Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bratislava","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Slovakia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iiwas2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}