{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T04:12:35Z","timestamp":1754194355056,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030284633"},{"type":"electronic","value":"9783030284640"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-28464-0_20","type":"book-chapter","created":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T23:06:24Z","timestamp":1568243184000},"page":"220-233","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Method of Ontology Evolution and Concept Evaluation Based on Knowledge Discovery in the Heavy Haul Railway Risk System"],"prefix":"10.1007","author":[{"given":"Tiancheng","family":"Cao","sequence":"first","affiliation":[]},{"given":"Wenxin","family":"Mu","sequence":"additional","affiliation":[]},{"given":"Aur\u00e9lie","family":"Montarnal","sequence":"additional","affiliation":[]},{"given":"Anne-Marie","family":"Barthe-Delano\u00eb","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,15]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Zhang, C., He, L., Mao, Y., Xiao, B.: Knowledge discovery of network public opinion in the concept of smart city. In: Industrial Electronics and Applications, pp. 1197\u20131202 (2015)","DOI":"10.1109\/ICIEA.2015.7334289"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Chowdhury, T., Chakraborty, S., Setua, S.K.: Knowledge extraction from big data using MapReduce-based parallel-reduct algorithm. In: International Conference on Computer Science and Network Technology, pp. 240\u2013246 (2017)","DOI":"10.1109\/ICCSNT.2016.8070156"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Miao, Q., Meng, Y., Zhang, B.: Chinese enterprise knowledge graph construction based on linked data. In: IEEE International Conference on Semantic Computing, pp. 153\u2013154 (2015)","DOI":"10.1109\/ICOSC.2015.7050795"},{"key":"20_CR4","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1007\/s10796-016-9637-y","volume":"19","author":"Y Li","year":"2017","unstructured":"Li, Y., Thomas, M.A., Osei-Bryson, K.-M.: Ontology-based data mining model management for self-service knowledge discovery. Inf. Syst. Front. 19, 925\u2013943 (2017)","journal-title":"Inf. Syst. Front."},{"key":"20_CR5","first-page":"145","volume":"14","author":"X Wang","year":"2014","unstructured":"Wang, X., Liu, J., Sheng, F.: Analysis of hotspots in the field of domestic knowledge discovery based on co-word analysis method. Cybern. Inf. Technol. 14, 145\u2013158 (2014)","journal-title":"Cybern. Inf. Technol."},{"key":"20_CR6","first-page":"338","volume":"11","author":"SJ Soundappan","year":"2016","unstructured":"Soundappan, S.J., Sugumar, R.: Optimal knowledge extraction technique based on hybridisation of improved artificial bee colony algorithm and cuckoo search algorithm. Int. J. Bus. Intell. Data Min. 11, 338 (2016)","journal-title":"Int. J. Bus. Intell. Data Min."},{"key":"20_CR7","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.engappai.2017.01.012","volume":"60","author":"HC Liu","year":"2017","unstructured":"Liu, H.C., You, J.X., Li, Z.W., Tian, G.: Fuzzy Petri nets for knowledge representation and reasoning. Eng. Appl. Artif. Intell. 60, 45\u201356 (2017)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"20_CR8","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/978-3-642-54897-0_2","volume-title":"Artificial Intelligence for Knowledge Management","author":"A Lig\u0119za","year":"2014","unstructured":"Lig\u0119za, A., Potempa, T.: Artificial intelligence for knowledge management with BPMN and rules. In: Mercier-Laurent, E., Boulanger, D. (eds.) AI4KM 2012. IAICT, vol. 422, pp. 19\u201337. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-54897-0_2"},{"key":"20_CR9","doi-asserted-by":"publisher","first-page":"1140","DOI":"10.1016\/j.infsof.2008.06.004","volume":"51","author":"YM Ha","year":"2009","unstructured":"Ha, Y.M., Park, S., Kim, S.W., Won, J.I., Yoon, J.H.: A stock recommendation system exploiting rule discovery in stock databases. Inf. Softw. Technol. 51, 1140\u20131149 (2009)","journal-title":"Inf. Softw. Technol."},{"key":"20_CR10","unstructured":"Abu Muntalib, S., Sidi, F., Jabar, M.A., Ishak, I.: Big data trend: knowledge discovery on the unstructured data (2014)"},{"key":"20_CR11","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.dss.2014.02.001","volume":"61","author":"J Hao","year":"2014","unstructured":"Hao, J., Yan, Y., Gong, L., Wang, G., Lin, J.: Knowledge map-based method for domain knowledge browsing. Decis. Support Syst. 61, 106\u2013114 (2014)","journal-title":"Decis. Support Syst."},{"key":"20_CR12","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.eswa.2018.05.035","volume":"112","author":"WLJ Lee","year":"2018","unstructured":"Lee, W.L.J., Parra, D., Munoz-Gama, J., Sep\u00falveda, M.: Predicting process behavior meets factorization machines. Expert Syst. Appl. 112, 87\u201398 (2018)","journal-title":"Expert Syst. Appl."},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Huanyu, Z., Xin, L.: Research on the application of knowledge discovery in digital library service (2017)","DOI":"10.2991\/snce-17.2017.166"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Kazemzadeh, R.S., Sartipi, K.: Interoperability of data and knowledge in distributed health care systems. In: IEEE International Workshop on Software Technology & Engineering Practice (2005)","DOI":"10.1109\/STEP.2005.15"},{"issue":"2","key":"20_CR15","first-page":"142","volume":"58","author":"C Schmidt","year":"2016","unstructured":"Schmidt, C., Sun, W.N.: Synthesizing agile and knowledge discovery: case study results. J. Comput. Inf. Syst. 58(2), 142\u2013150 (2016)","journal-title":"J. Comput. Inf. Syst."},{"issue":"6","key":"20_CR16","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1080\/17460441.2018.1455659","volume":"13","author":"M Allarakhia","year":"2018","unstructured":"Allarakhia, M.: Evolving models of collaborative drug discovery: managing intellectual capital assets. Expert Opin. Drug Discov. 13(6), 473\u2013476 (2018)","journal-title":"Expert Opin. Drug Discov."},{"key":"20_CR17","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1108\/JKM-11-2017-0517","volume":"22","author":"A Usai","year":"2018","unstructured":"Usai, A., Pironti, M., Mital, M., Mejri, C.A.: Knowledge discovery out of text data: a systematic review via text mining. J. Knowl. Manag. 22, 1471\u20131488 (2018)","journal-title":"J. Knowl. Manag."},{"key":"20_CR18","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.envsoft.2018.06.003","volume":"108","author":"Y Sermet","year":"2018","unstructured":"Sermet, Y., Demir, I.: An intelligent system on knowledge generation and communication about flooding. Environ. Model Softw. 108, 51\u201360 (2018)","journal-title":"Environ. Model Softw."},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Grira, J., B\u00e9dard, Y., Roche, S., Devillers, R.: Towards a collaborative knowledge discovery system for enriching semantic information about risks of geospatial data, vol. 40, pp. 53\u201358 (2013)","DOI":"10.5194\/isprsarchives-XL-2-W1-53-2013"},{"key":"20_CR20","unstructured":"Verma, A., Fiasch\u00e9, M., Cuzzola, M., Morabito, F.C., Irrera, G.: Knowledge discovery and risk prediction for chronic diseases: an integrated approach. In: Engineering Applications of Neural Networks - INNS EANN-SIG International Conference, EANN 2011 and IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, 15\u201318 September 2011, Proceedings, pp. 270\u2013279 (2011)"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Qu, M., Chang, Y., Reddy, Y.V., Reddy, S.: A behavior centric service discovery model for building knowledge advantage machine. In: Advanced Information Technology, Electronic and Automation Control Conference, pp. 630\u2013634 (2017)","DOI":"10.1109\/IAEAC.2017.8054092"},{"key":"20_CR22","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.1109\/TLA.2018.8362163","volume":"16","author":"CR Woszezenki","year":"2018","unstructured":"Woszezenki, C.R., Goncalves, A.L., de Souza, J.A.: A knowledge discovery model based on semantic and temporal associations between textual elements. IEEE Lat. Am. Trans. 16, 1243\u20131249 (2018)","journal-title":"IEEE Lat. Am. Trans."},{"key":"20_CR23","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1109\/ACCESS.2015.2472355","volume":"3","author":"Q Chen","year":"2015","unstructured":"Chen, Q., Fan, Z., Kaleshi, D., Armour, S.: Rule induction-based knowledge discovery for energy efficiency. IEEE Access 3, 1423\u20131436 (2015)","journal-title":"IEEE Access"},{"issue":"2","key":"20_CR24","first-page":"116","volume":"28","author":"LY Peng","year":"2018","unstructured":"Peng, L.Y., Feng, Y.Q., Gou, J.Q., Li, X.W.: Heavy haul railway safety factors selection and weight analysis. China Saf. Sci. J. 28(2), 116\u2013121 (2018)","journal-title":"China Saf. Sci. J."}],"container-title":["IFIP Advances in Information and Communication Technology","Collaborative Networks and Digital Transformation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-28464-0_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T12:28:55Z","timestamp":1710332935000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-28464-0_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030284633","9783030284640"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-28464-0_20","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"15 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRO-VE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Working Conference on Virtual Enterprises","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pro-ve2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.pro-ve.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"141","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.16","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}