{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T18:08:12Z","timestamp":1783447692032,"version":"3.55.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030494605","type":"print"},{"value":"9783030494612","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-49461-2_7","type":"book-chapter","created":{"date-parts":[[2020,5,26]],"date-time":"2020-05-26T23:26:23Z","timestamp":1590535583000},"page":"105-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets"],"prefix":"10.1007","author":[{"given":"Ewelina","family":"Dera","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8031-758X","authenticated-orcid":false,"given":"Flavius","family":"Frasincar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kim","family":"Schouten","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,27]]},"reference":[{"key":"7_CR1","volume-title":"Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit","author":"S Bird","year":"2009","unstructured":"Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit. O\u2019Reilly Media, Inc., Sebastopol (2009)"},{"issue":"2","key":"7_CR2","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/MIS.2016.31","volume":"31","author":"E Cambria","year":"2016","unstructured":"Cambria, E.: Affective computing and sentiment analysis. IEEE Intell. Syst. 31(2), 102\u2013107 (2016)","journal-title":"IEEE Intell. Syst."},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Capelle, M., Frasincar, F., Moerland, M., Hogenboom, F.: Semantics-based news recommendation. In: 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS 2012), p. 27. ACM (2012)","DOI":"10.1145\/2254129.2254163"},{"key":"7_CR4","unstructured":"Cesarano, C., Dorr, B., Picariello, A., Reforgiato, D., Sagoff, A., Subrahmanian, V.: OASYS: an opinion analysis system. In: AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs (CAAW 2006), pp. 21\u201326. AAAI Press (2006)"},{"key":"7_CR5","unstructured":"Craggs, D.J.: An analysis and comparison of predominant word sense disambiguation algorithms. Edith Cowan University (2011)"},{"issue":"1","key":"7_CR6","doi-asserted-by":"publisher","first-page":"75","DOI":"10.3233\/AIC-180752","volume":"31","author":"Mauro Dragoni","year":"2018","unstructured":"Dragoni, M., da Costa Pereira, C., Tettamanzi, A.G.B., Villata, S.: Combining argumentation and aspect-based opinion mining: the SMACk system. AI Commun. 31(1), 75\u201395 (2018)","journal-title":"AI Communications"},{"key":"7_CR7","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-319-46565-4_11","volume-title":"Semantic Web Challenges","author":"M Federici","year":"2016","unstructured":"Federici, M., Dragoni, M.: A knowledge-based approach for aspect-based opinion mining. In: Sack, H., Dietze, S., Tordai, A., Lange, C. (eds.) SemWebEval 2016. CCIS, vol. 641, pp. 141\u2013152. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46565-4_11"},{"key":"7_CR8","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/11908678_8","volume-title":"Semantics, Web and Mining","author":"B Fortuna","year":"2006","unstructured":"Fortuna, B., Mladeni\u010d, D., Grobelnik, M.: Semi-automatic construction of topic ontologies. In: Ackermann, M., et al. (eds.) EWMF\/KDO 2005. LNCS (LNAI), vol. 4289, pp. 121\u2013131. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11908678_8"},{"key":"7_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-211-77280-5_4","volume-title":"Information and Communication Technologies in Tourism 2008","author":"U Gretzel","year":"2008","unstructured":"Gretzel, U., Yoo, K.H.: Use and impact of online travel reviews. In: O\u2019Connor, P., Hopken, W., Gretzel, U. (eds.) Information and Communication Technologies in Tourism 2008. Springer, Vienna (2008). https:\/\/doi.org\/10.1007\/978-3-211-77280-5_4"},{"key":"7_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/978-3-319-38791-8_18","volume-title":"Web Engineering","author":"R Hoogervorst","year":"2016","unstructured":"Hoogervorst, R., et al.: Aspect-based sentiment analysis on the web using rhetorical structure theory. In: Bozzon, A., Cudre-Maroux, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9671, pp. 317\u2013334. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-38791-8_18"},{"key":"7_CR11","unstructured":"Kietz, J.U., Maedche, A., Volz, R.: A method for semi-automatic ontology acquisition from a corporate intranet. In: 12th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2000) (2000)"},{"key":"7_CR12","unstructured":"Kilgarriff, A., Rosenzweig, J.: English senseval: report and results. In: 2nd International Conference on Language Resources and Evaluation (LREC 2000). ELRA (2000)"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Q., Zhang, H., Zeng, Y., Huang, Z., Wu, Z.: Content attention model for aspect based sentiment analysis. In: 27th International World Wide Web Conference (WWW 2018), pp. 1023\u20131032. ACM (2018)","DOI":"10.1145\/3178876.3186001"},{"key":"7_CR14","unstructured":"Maedche, A., Staab, S.: Semi-automatic engineering of ontologies from text. In: 12th International Conference on Software Engineering and Knowledge Engineering (SEKE 2000), pp. 231\u2013239 (2000)"},{"key":"7_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/978-3-642-19400-9_14","volume-title":"Computational Linguistics and Intelligent Text Processing","author":"CD Manning","year":"2011","unstructured":"Manning, C.D.: Part-of-speech tagging from 97% to 100%: is it time for some linguistics? In: Gelbukh, A.F. (ed.) CICLing 2011. LNCS, vol. 6608, pp. 171\u2013189. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-19400-9_14"},{"key":"7_CR16","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.dss.2014.03.006","volume":"62","author":"K Meijer","year":"2014","unstructured":"Meijer, K., Frasincar, F., Hogenboom, F.: A semantic approach for extracting domain taxonomies from text. Decis. Support Syst. 62, 78\u201393 (2014)","journal-title":"Decis. Support Syst."},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Meskele, D., Frasincar, F.: ALDONA: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalised domain ontology and a neural attention model. In: 34th Symposium on Applied Computing (SAC 2019), pp. 2489\u20132496. ACM (2019)","DOI":"10.1145\/3297280.3297525"},{"key":"7_CR18","unstructured":"Mihalcea, R.: SemCor 3.0 (2019). https:\/\/web.eecs.umich.edu\/~mihalcea\/downloads.html#semcor"},{"key":"7_CR19","unstructured":"Ramos, J., et al.: Using TF-IDF to determine word relevance in document queries. In: 1st instructional Conference on Machine Learning (iCML 2003), vol. 242, pp. 133\u2013142 (2003)"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Sanderson, M., Croft, W.B.: Deriving concept hierarchies from text. In: 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1999), pp. 206\u2013213. ACM (1999)","DOI":"10.1145\/312624.312679"},{"key":"7_CR21","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/978-3-319-25518-7_19","volume-title":"Semantic Web Evaluation Challenges","author":"K Schouten","year":"2015","unstructured":"Schouten, K., Frasincar, F.: The benefit of concept-based features for sentiment analysis. In: Gandon, F., Cabrio, E., Stankovic, M., Zimmermann, A. (eds.) SemWebEval 2015. CCIS, vol. 548, pp. 223\u2013233. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-25518-7_19"},{"issue":"3","key":"7_CR22","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1109\/TKDE.2015.2485209","volume":"28","author":"K Schouten","year":"2016","unstructured":"Schouten, K., Frasincar, F.: Survey on aspect-level sentiment analysis. IEEE Trans. Knowl. Data Eng. 28(3), 813\u2013830 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"7_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1007\/978-3-319-93417-4_39","volume-title":"The Semantic Web","author":"K Schouten","year":"2018","unstructured":"Schouten, K., Frasincar, F.: Ontology-driven sentiment analysis of product and service aspects. In: Gangemi, A., et al. (eds.) ESWC 2018. LNCS, vol. 10843, pp. 608\u2013623. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93417-4_39"},{"key":"7_CR24","unstructured":"Vasilescu, F., Langlais, P., Lapalme, G.: Evaluating variants of the lesk approach for disambiguating words. In: 4th International Conference on Language Resources and Evaluation (LREC 2004). ELRA (2004)"},{"key":"7_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/978-3-030-21348-0_24","volume-title":"The Semantic Web","author":"O Wallaart","year":"2019","unstructured":"Wallaart, O., Frasincar, F.: A hybrid approach for aspect-based sentiment analysis using a lexicalized domain ontology and attentional neural models. In: Hitzler, P., et al. (eds.) ESWC 2019. LNCS, vol. 11503, pp. 363\u2013378. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21348-0_24"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Zafar, B., Cochez, M., Qamar, U.: Using distributional semantics for automatic taxonomy induction. In: 14th International Conference on Frontiers of Information Technology (FIT 2016), pp. 348\u2013353. IEEE (2016)","DOI":"10.1109\/FIT.2016.070"},{"key":"7_CR27","unstructured":"Zheng, S., Xia, R.: Left-center-right separated neural network for aspect-based sentiment analysis with rotatory attention. arXiv preprint arXiv:1802.00892 (2018)"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-49461-2_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T22:02:37Z","timestamp":1748296957000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-49461-2_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030494605","9783030494612"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-49461-2_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"27 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ESWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Heraklion, Crete","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"esws2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2020.eswc-conferences.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","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":"166","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":"39","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":"23% - 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","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":"2","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)"}},{"value":"Authors could choose to opt in or opt out of being known by the reviewers (i.e., submissions could be anonymous) while reviewers could choose to opt in or opt out of being known by the authors (i.e., reviews could be anonymous). The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","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"}]}}