{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T21:41:29Z","timestamp":1775252489365,"version":"3.50.1"},"publisher-location":"Cham","reference-count":42,"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_11","type":"book-chapter","created":{"date-parts":[[2018,10,17]],"date-time":"2018-10-17T11:41:17Z","timestamp":1539776477000},"page":"189-206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Utilizing Twitter Data for Identifying and Resolving Runtime Business Process Disruptions"],"prefix":"10.1007","author":[{"given":"Alia","family":"Ayoub","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amal","family":"Elgammal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,10,18]]},"reference":[{"key":"11_CR1","first-page":"152","volume":"3","author":"F Almeida","year":"2012","unstructured":"Almeida, F.: Web 2. 0 technologies and social networking security fears in enterprises. Int. J. Adv. Comput. Sci. Appl. 3, 152\u2013156 (2012)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1145\/1232722.1232727","volume":"1","author":"J Leskovec","year":"2007","unstructured":"Leskovec, J., Adamic, L.A., Huberman, B.A.: The dynamics of viral marketing. ACM Trans. Web. 1, 39 (2007)","journal-title":"ACM Trans. Web."},{"key":"11_CR3","unstructured":"Kumar, M., Bala, A.: Analyzing Twitter sentiments through big data. In: 3rd International Conference on Computing for Sustainable Global Development (INDIACom). IEEE (2016)"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Troussas, C., Virvou, M., Espinosa, K.J., Llaguno, K., Caro, J.: Sentiment analysis of Facebook statuses using Naive Bayes classifier for language learning. In: 2013 Fourth International Information, Intelligence, Systems and Applications (IISA) (2013)","DOI":"10.1109\/IISA.2013.6623713"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Isah, H., Trundle, P., Neagu, D.: Social media analysis for product safety using text mining and sentiment analysis. In: 2014 14th UK Workshop on Computational Intelligence (UKCI). IEEE (2014)","DOI":"10.1109\/UKCI.2014.6930158"},{"key":"11_CR6","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1007\/s11704-016-5198-y","volume":"10","author":"T Wang","year":"2016","unstructured":"Wang, T., Chen, Y.: The power of comments: fostering social interactions in microblog networks. Front. Comput. Sci. 10, 889\u2013907 (2016)","journal-title":"Front. Comput. Sci."},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1016\/j.ijinfomgt.2013.01.001","volume":"33","author":"W He","year":"2013","unstructured":"He, W., Zha, S., Li, L.: Social media competitive analysis and text mining: a case study in the pizza industry. Int. J. Inf. Manag. 33, 464\u2013472 (2013)","journal-title":"Int. J. Inf. Manag."},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Moseley, N., Alm, C.O., Rege, M.: Toward inferring the age of Twitter users with their use of nonstandard abbreviations and lexicon. In: IEEE 15th International Conference on Information Reuse and Integration, IRI 2014, pp. 219\u2013226 (2014)","DOI":"10.1109\/IRI.2014.7051893"},{"key":"11_CR9","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139084789","volume-title":"Sentiment Analysis","author":"B Liu","year":"2015","unstructured":"Liu, B.: Sentiment Analysis. Cambridge University Press, Cambridge (2015)"},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.chb.2015.07.061","volume":"54","author":"H Shad Manaman","year":"2016","unstructured":"Shad Manaman, H., Jamali, S., Aleahmad, A.: Online reputation measurement of companies based on user-generated content in online social networks. Comput. Hum. Behav. 54, 94\u2013100 (2016)","journal-title":"Comput. Hum. Behav."},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1504\/IJEB.2014.057905","volume":"11","author":"M Salampasis","year":"2013","unstructured":"Salampasis, M., Paltoglou, G., Giachanou, A.: Using social media for continuous monitoring and mining of consumer behaviour. Int. J. Electron. Bus. 11, 85 (2013)","journal-title":"Int. J. Electron. Bus."},{"key":"11_CR12","first-page":"44","volume":"112","author":"E Younis","year":"2015","unstructured":"Younis, E.: Sentiment analysis and text mining for social media microblogs using open source tools: an empirical study. Int. J. Comput. Appl. 112, 44\u201348 (2015)","journal-title":"Int. J. Comput. Appl."},{"key":"11_CR13","first-page":"497","volume":"3","author":"UT G\u00fcrsoy","year":"2017","unstructured":"G\u00fcrsoy, U.T., Bulut, D., Yi\u011fit, C.: Social media mining and sentiment analysis for brand management. Glob. J. Emerg. Trends e-Business, Mark. Consum. Psychol. Online Int. Res. J. 3, 497\u2013511 (2017)","journal-title":"Glob. J. Emerg. Trends e-Business, Mark. Consum. Psychol. Online Int. Res. J."},{"key":"11_CR14","doi-asserted-by":"publisher","first-page":"4065","DOI":"10.1016\/j.eswa.2013.01.001","volume":"40","author":"E Kontopoulos","year":"2013","unstructured":"Kontopoulos, E., Berberidis, C., Dergiades, T., Bassiliades, N.: Ontology-based sentiment analysis of twitter posts. Expert Syst. Appl. 40, 4065\u20134074 (2013)","journal-title":"Expert Syst. Appl."},{"key":"11_CR15","first-page":"1","volume":"8","author":"KV Ruba","year":"2015","unstructured":"Ruba, K.V., Venkatesan, D.: Building a custom sentiment analysis tool based on an ontology for Twitter posts. Indian J. Sci. Technol. 8, 1\u20135 (2015)","journal-title":"Indian J. Sci. Technol."},{"key":"11_CR16","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.trc.2017.01.014","volume":"77","author":"F Ali","year":"2017","unstructured":"Ali, F., Kwak, D., Khan, P., Islam, S.M.R., Kim, K.H., Kwak, K.S.: Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling. Transp. Res. Part C Emerg. Technol. 77, 33\u201348 (2017)","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"11_CR17","doi-asserted-by":"crossref","unstructured":"Zehra, S., Wasi, S., Jami, I., Nazir, A., Khan, A., Waheed, N.: Ontology-based sentiment analysis model for recommendation systems. In: 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KEOD 2017), pp. 155\u2013160 (2017)","DOI":"10.5220\/0006491101550160"},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Ryota, K., Tomoharu, N.: Stock market prediction based on interrelated time series data. In: IEEE Symposium on Computers and Informatics, ISCI 2012, pp. 17\u201321 (2012)","DOI":"10.1109\/ISCI.2012.6222660"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Pagolu, V.S., Challa, K.N.R., Panda, G., Majhi, B.: Sentiment analysis of Twitter data for predicting stock market movements. In: International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1\u20136 (2016)","DOI":"10.1109\/SCOPES.2016.7955659"},{"key":"11_CR20","first-page":"521","volume":"115","author":"R Pimprikar","year":"2017","unstructured":"Pimprikar, R., Ramachandran, S., Senthilkumar, K.: Use of machine learning algorithms and twitter sentiment analysis for stock market prediction. Int. J Pure Appl. Math. 115, 521\u2013526 (2017)","journal-title":"Int. J Pure Appl. Math."},{"key":"11_CR21","doi-asserted-by":"publisher","first-page":"1604","DOI":"10.1108\/IMDS-04-2015-0145","volume":"115","author":"DD Gaikar","year":"2015","unstructured":"Gaikar, D.D., Marakarkandy, B., Dasgupta, C.: Using Twitter data to predict the performance of Bollywood movies. Ind. Manag. Data Syst. 115, 1604\u20131621 (2015)","journal-title":"Ind. Manag. Data Syst."},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Sumner, C., Byers, A., Boochever, R., Park, G.J.: Predicting dark triad personality traits from Twitter usage and a linguistic analysis of tweets. In: 11th International Conference on Machine Learning and Applications. IEEE (2012)","DOI":"10.1109\/ICMLA.2012.218"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Golbeck, J., Robles, C., Turner, K.: Predicting personality with social media. In: CHI EA 2011 CHI 2011 Extended Abstracts on Human Factors in Computing Systems, pp. 253\u2013262. ACM (2011)","DOI":"10.1145\/1979742.1979614"},{"key":"11_CR24","doi-asserted-by":"crossref","unstructured":"Hauder, M.: Bridging the gap between social software and business process management\u202f: a research agenda. In: Seventh International Conference on Research Challenges in Information Science (RCIS), pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/RCIS.2013.6577729"},{"key":"11_CR25","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/j.lrp.2009.12.005","volume":"43","author":"M Yunus","year":"2010","unstructured":"Yunus, M., Moingeon, B., Lehmann-Ortega, L.: Building social business models: lessons from the Grameen experience. Long Range Plan. 43, 308\u2013325 (2010)","journal-title":"Long Range Plan."},{"key":"11_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/978-3-319-22885-3_38","volume-title":"Service-Oriented Computing - ICSOC 2014 Workshops","author":"Z Maamar","year":"2015","unstructured":"Maamar, Z., Sakr, S., Faci, N., Boukhebouze, M., Barnawi, A.: SUPER: social-based business process management framework. In: Toumani, F., et al. (eds.) ICSOC 2014. LNCS, vol. 8954, pp. 413\u2013417. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-22885-3_38"},{"key":"11_CR27","doi-asserted-by":"crossref","unstructured":"Maamar, Z., Bur\u00e9gio, V., Sellami, M.: Collaborative enterprise applications based on business and social artifacts. In: 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 150\u2013155 (2015)","DOI":"10.1109\/WETICE.2015.12"},{"key":"11_CR28","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1007\/978-3-642-02161-9_3","volume-title":"Software Engineering for Self-Adaptive Systems","author":"Y Brun","year":"2009","unstructured":"Brun, Y., et al.: Engineering self-adaptive systems through Feedback loops. In: Cheng, Betty H.C., de Lemos, R., Giese, H., Inverardi, P., Magee, J. (eds.) Software Engineering for Self-Adaptive Systems. LNCS, vol. 5525, pp. 48\u201370. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-02161-9_3"},{"key":"11_CR29","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/MC.2003.1160055","volume":"36","author":"JO Kephart","year":"2003","unstructured":"Kephart, J.O., Chess, D.M.: The vision of autonomic computing. IEEE Comput. Soc. 36, 41\u201350 (2003). Home Community Technology Leaders","journal-title":"IEEE Comput. Soc."},{"key":"11_CR30","unstructured":"IBM: An architectural blueprint for autonomic computing. IBM (2005)"},{"issue":"2","key":"11_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1516533.1516538","volume":"4","author":"Mazeiar Salehie","year":"2009","unstructured":"Salehie, M., Tahvildari, L.: Self-adaptive software: landscape and research challenges. ACM Trans. Auton. Adapt. Syst. 4, Article no. 14 (2009)","journal-title":"ACM Transactions on Autonomous and Adaptive Systems"},{"key":"11_CR32","volume-title":"The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems","author":"D Luckham","year":"2001","unstructured":"Luckham, D.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley Longman Publishing Co., Inc., Boston (2001)"},{"key":"11_CR33","doi-asserted-by":"crossref","unstructured":"Awad, A., Barnawi, A., Elgammal, A., Elshawi, R., Almalaise, A., Sakr, S.: Runtime detection of business process compliance violations: an approach based on anti patterns. In: Proceedings of the 30th Annual ACM Symposium on Applied Computing, pp. 1203\u20131210. ACM (2015)","DOI":"10.1145\/2695664.2699488"},{"key":"11_CR34","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.1007\/s10586-015-0494-0","volume":"18","author":"A Barnawi","year":"2015","unstructured":"Barnawi, A., Awad, A., Elgammal, A., El Shawi, R., Almalaise, A., Sakr, S.: Runtime self-monitoring approach of business process compliance in cloud environments. Clust. Comput. 18, 1503\u20131526 (2015)","journal-title":"Clust. Comput."},{"key":"11_CR35","doi-asserted-by":"crossref","unstructured":"Zou, L., Song, W.W.: LDA-TM: a two-step approach to Twitter topic data clustering. In: IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016, pp. 342\u2013347 (2016)","DOI":"10.1109\/ICCCBDA.2016.7529581"},{"key":"11_CR36","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support vector networks. Mach. Learn. 20, 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"11_CR37","unstructured":"Louppe, G.: Understanding random forests from theory to practice (2014)"},{"key":"11_CR38","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, 276\u2013290 (2015)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"11_CR39","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1007\/978-981-10-5041-1_57","volume-title":"Advanced Multimedia and Ubiquitous Engineering","author":"S Xu","year":"2017","unstructured":"Xu, S., Li, Y., Wang, Z.: Bayesian multinomial Na\u00efve Bayes classifier to text classification. In: Park, James J.(Jong Hyuk), Chen, S.-C., Raymond Choo, K.-K. (eds.) MUE\/FutureTech -2017. LNEE, vol. 448, pp. 347\u2013352. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-5041-1_57"},{"key":"11_CR40","unstructured":"Costa, E.P., Lorena, A.C., Carvalho, A.C.P.L.F., Freitas, A.A.: A Review of performance evaluation measures for hierarchical classifiers. In: Evaluation Methods for Machine Learning II: Papers from AAAI-2007 Work, pp. 1\u20136 (2007)"},{"key":"11_CR41","unstructured":"Allahyari, M., Trippe, E.D., Gutierrez, J.B.: A brief survey of text mining\u202f: classification, clustering and extraction techniques. ArXiv: 1 (2017)"},{"key":"11_CR42","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1177\/0002764214540510","volume":"59","author":"NB Ellison","year":"2015","unstructured":"Ellison, N.B., Gibbs, J.L., Weber, M.S.: The use of enterprise social network sites for knowledge sharing in distributed organizations. Am. Behav. Sci. 59, 103\u2013123 (2015)","journal-title":"Am. Behav. Sci."}],"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_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T20:28:09Z","timestamp":1775248089000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-02610-3_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030026097","9783030026103"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-02610-3_11","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)"}}]}}