{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:00:57Z","timestamp":1777528857813,"version":"3.51.4"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030026097","type":"print"},{"value":"9783030026103","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-02610-3_33","type":"book-chapter","created":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T11:41:17Z","timestamp":1539776477000},"page":"586-603","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Context-Aware Predictive Process Monitoring: The Impact of News Sentiment"],"prefix":"10.1007","author":[{"given":"Anton","family":"Yeshchenko","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Durier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kate","family":"Revoredo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Mendling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flavia","family":"Santoro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,18]]},"reference":[{"issue":"3","key":"33_CR1","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1016\/j.ijinfomgt.2015.10.002","volume":"36","author":"Jan vom Brocke","year":"2016","unstructured":"vom Brocke, J., Zelt, S., Schmiedel, T.: On the role of context in business process management. Int. J. Inf. Manag. 36(3), 486\u2013495 (2016)","journal-title":"International Journal of Information Management"},{"issue":"8","key":"33_CR2","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1016\/j.compind.2014.07.005","volume":"65","author":"T da Cunha Mattos","year":"2014","unstructured":"da Cunha Mattos, T., Santoro, F.M., Revoredo, K., Nunes, V.T.: A formal representation for context-aware business processes. Comput. Ind. 65(8), 1193\u20131214 (2014)","journal-title":"Comput. Ind."},{"key":"33_CR3","unstructured":"Di Francescomarino, C., Dumas, M., Maggi, F.M., Teinemaa, I.: Clustering-based predictive process monitoring. IEEE Trans. Serv. Comput. (2016)"},{"key":"33_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1007\/978-3-319-65000-5_15","volume-title":"Business Process Management","author":"C Di Francescomarino","year":"2017","unstructured":"Di Francescomarino, C., Ghidini, C., Maggi, F.M., Petrucci, G., Yeshchenko, A.: An eye into the future: leveraging a-priori knowledge in predictive business process monitoring. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNCS, vol. 10445, pp. 252\u2013268. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-65000-5_15"},{"key":"33_CR5","doi-asserted-by":"publisher","unstructured":"van Dongen, B.: BPI challenge 2012 (2012). https:\/\/doi.org\/10.4121\/uuid:3926db30-f712-4394-aebc-75976070e91f","DOI":"10.4121\/uuid:3926db30-f712-4394-aebc-75976070e91f"},{"key":"33_CR6","doi-asserted-by":"publisher","unstructured":"van Dongen, B.: BPI challenge 2017 (2017). https:\/\/doi.org\/10.4121\/uuid:5f3067df-f10b-45da-b98b-86ae4c7a310b","DOI":"10.4121\/uuid:5f3067df-f10b-45da-b98b-86ae4c7a310b"},{"key":"33_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-56509-4","volume-title":"Fundamentals of Business Process Management","author":"M Dumas","year":"2018","unstructured":"Dumas, M., Rosa, M.L., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management, 2nd edn. Springer, Heidelberg (2018). https:\/\/doi.org\/10.1007\/978-3-662-56509-4","edition":"2"},{"key":"33_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/978-3-642-33606-5_18","volume-title":"On the Move to Meaningful Internet Systems: OTM 2012","author":"F Folino","year":"2012","unstructured":"Folino, F., Guarascio, M., Pontieri, L.: Discovering context-aware models for predicting business process performances. In: Meersman, R. (ed.) OTM 2012. LNCS, vol. 7565, pp. 287\u2013304. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33606-5_18"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Frey, M., Emrich, A., Fettke, P., Loos, P.: Event entry time prediction in financial business processes using machine learning: a use case from loan applications. In: Proceedings of the 51st Hawaii International Conference on System Sciences 2018, pp. 1386\u20131394. IEEE Computer Society (2018)","DOI":"10.24251\/HICSS.2018.171"},{"key":"33_CR10","unstructured":"Jorbina, K., et al.: Nirdizati: a web-based tool for predictive process monitoring (2017)"},{"key":"33_CR11","unstructured":"Kireyev, K., Palen, L., Anderson, K.: Applications of topics models to analysis of disaster-related twitter data. In: NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler, Canada, vol. 1 (2009)"},{"key":"33_CR12","doi-asserted-by":"publisher","unstructured":"de Leoni, M., Mannhardt, F.: Road traffic fine management process (2015). https:\/\/doi.org\/10.4121\/uuid:270fd440-1057-4fb9-89a9-b699b47990f5","DOI":"10.4121\/uuid:270fd440-1057-4fb9-89a9-b699b47990f5"},{"key":"33_CR13","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139084789","volume-title":"Sentiment Analysis: Mining Opinions, Sentiments, and Emotions","author":"B Liu","year":"2015","unstructured":"Liu, B.: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge University Press, Cambridge (2015)"},{"key":"33_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1007\/978-3-319-07881-6_31","volume-title":"Advanced Information Systems Engineering","author":"FM Maggi","year":"2014","unstructured":"Maggi, F.M., Di Francescomarino, C., Dumas, M., Ghidini, C.: Predictive monitoring of business processes. In: Jarke, M., et al. (eds.) CAiSE 2014. LNCS, vol. 8484, pp. 457\u2013472. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07881-6_31"},{"key":"33_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TSC.2017.2772256","volume":"PP","author":"AE Marquez-Chamorro","year":"2017","unstructured":"Marquez-Chamorro, A.E., Resinas, M., Ruiz-Corts, A.: Predictive monitoring of business processes: a survey. IEEE Trans. Serv. Comput. PP, 1 (2017)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"C","key":"33_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2017.05.069","volume":"87","author":"AE Marquez-Chamorro","year":"2017","unstructured":"Marquez-Chamorro, A.E., Resinas, M., Ruiz-Corts, A., Toro, M.: Run-time prediction of business process indicators using evolutionary decision rules. Expert Syst. Appl. 87(C), 1\u201314 (2017)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"33_CR17","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TSMC.2014.2347265","volume":"45","author":"A Metzger","year":"2015","unstructured":"Metzger, A., et al.: Comparing and combining predictive business process monitoring techniques. IEEE Trans. Syst. Man Cybern.: Syst. 45(2), 276\u2013290 (2015)","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Navarin, N., Vincenzi, B., Polato, M., Sperduti, A.: LSTM networks for data-aware remaining time prediction of business process instances. CoRR (2017)","DOI":"10.1109\/SSCI.2017.8285184"},{"key":"33_CR19","unstructured":"Nielsen, F.\u00c5.: AFINN, March 2011. http:\/\/www2.imm.dtu.dk\/pubdb\/p.php?6010"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Polato, M., Sperduti, A., Burattin, A., de Leoni, M.: Data-aware remaining time prediction of business process instances. In: 2014 International Joint Conference on Neural Networks (IJCNN), pp. 816\u2013823, July 2014","DOI":"10.1109\/IJCNN.2014.6889360"},{"key":"33_CR21","unstructured":"Polato, M., Sperduti, A., Burattin, A., de Leoni, M.: Time and activity sequence prediction of business process instances. CoRR (2016)"},{"issue":"4","key":"33_CR22","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.is.2012.11.004","volume":"38","author":"A del R\u00edo-Ortega","year":"2013","unstructured":"del R\u00edo-Ortega, A., Resinas, M., Cabanillas, C., Ruiz-Cort\u00e9s, A.: On the definition and design-time analysis of process performance indicators. Inf. Syst. 38(4), 470\u2013490 (2013)","journal-title":"Inf. Syst."},{"issue":"1","key":"33_CR23","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1504\/IJBPIM.2008.019347","volume":"3","author":"M Rosemann","year":"2008","unstructured":"Rosemann, M., Recker, J., Flender, C.: Contextualisation of business processes. Int. J. Bus. Process. Integr. Manag. 3(1), 47\u201360 (2008)","journal-title":"Int. J. Bus. Process. Integr. Manag."},{"key":"33_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1007\/978-3-319-65000-5_18","volume-title":"Business Process Management","author":"A Senderovich","year":"2017","unstructured":"Senderovich, A., Di Francescomarino, C., Ghidini, C., Jorbina, K., Maggi, F.M.: Intra and inter-case features in predictive process monitoring: a tale of two dimensions. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNCS, vol. 10445, pp. 306\u2013323. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-65000-5_18"},{"key":"33_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1007\/978-3-319-39696-5_35","volume-title":"Advanced Information Systems Engineering","author":"R Sindhgatta","year":"2016","unstructured":"Sindhgatta, R., Ghose, A., Dam, H.K.: Context-aware analysis of past process executions to aid resource allocation decisions. In: Nurcan, S., Soffer, P., Bajec, M., Eder, J. (eds.) CAiSE 2016. LNCS, vol. 9694, pp. 575\u2013589. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-39696-5_35"},{"key":"33_CR26","doi-asserted-by":"publisher","unstructured":"Steeman, W.: BPI challenge 2013 (2013). https:\/\/doi.org\/10.4121\/uuid:a7ce5c55-03a7-4583-b855-98b86e1a2b07","DOI":"10.4121\/uuid:a7ce5c55-03a7-4583-b855-98b86e1a2b07"},{"key":"33_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/978-3-319-45348-4_23","volume-title":"Business Process Management","author":"I Teinemaa","year":"2016","unstructured":"Teinemaa, I., Dumas, M., Maggi, F.M., Di Francescomarino, C.: Predictive business process monitoring with structured and unstructured data. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNCS, vol. 9850, pp. 401\u2013417. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45348-4_23"},{"key":"33_CR28","unstructured":"Teinemaa, I., Dumas, M., Rosa, M.L., Maggi, F.M.: Outcome-oriented predictive process monitoring: review and benchmark. CoRR (2017)"},{"issue":"1","key":"33_CR29","doi-asserted-by":"publisher","first-page":"44","DOI":"10.5430\/air.v2n1p44","volume":"2","author":"E Vargiu","year":"2012","unstructured":"Vargiu, E., Urru, M.: Exploiting web scraping in a collaborative filtering-based approach to web advertising. Artif. Intell. Res. 2(1), 44 (2012)","journal-title":"Artif. Intell. Res."},{"key":"33_CR30","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/978-3-319-42887-1_18","volume-title":"Business Process Management Workshops","author":"I Verenich","year":"2016","unstructured":"Verenich, I., Dumas, M., La Rosa, M., Maggi, F.M., Di Francescomarino, C.: Complex symbolic sequence clustering and multiple classifiers for predictive process monitoring. In: Reichert, M., Reijers, H.A. (eds.) BPM 2015. LNBIP, vol. 256, pp. 218\u2013229. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-42887-1_18"},{"key":"33_CR31","doi-asserted-by":"crossref","unstructured":"Verenich, I., Dumas, M., Rosa, M.L., Maggi, F.M., Teinemaa, I.: Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring. CoRR (2018)","DOI":"10.1145\/3331449"}],"container-title":["Lecture Notes in Computer Science","On the Move to Meaningful Internet Systems. OTM 2018 Conferences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-02610-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:45:42Z","timestamp":1710233142000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-02610-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030026097","9783030026103"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-02610-3_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"18 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"OTM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"OTM Confederated International Conferences \"On the Move to Meaningful Internet Systems\"","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valletta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malta","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 October 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"otm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.otmconferences.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Custom system developed for OTM","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"173","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":"64","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":"22","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":"37% - 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":"0","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":"3,7","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}