{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:40Z","timestamp":1750220680725,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1145\/3444757.3485110","type":"proceedings-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T11:16:14Z","timestamp":1636456574000},"page":"49-56","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Learn2Construct"],"prefix":"10.1145","author":[{"given":"Ahmed","family":"Khemiri","sequence":"first","affiliation":[{"name":"VPNC Lab., FSJEGJ, University of Jendouba Jendouba, Tunisia"}]},{"given":"Amani","family":"Drissi","sequence":"additional","affiliation":[{"name":"VPNC Lab., FSJEGJ, University of Jendouba Jendouba, Tunisia"}]},{"given":"Anis","family":"Tissaoui","sequence":"additional","affiliation":[{"name":"VPNC Lab., FSJEGJ, University of Jendouba Jendouba, Tunisia"}]},{"given":"Salma","family":"Sassi","sequence":"additional","affiliation":[{"name":"VPNC Lab., FSJEGJ, University of Jendouba Jendouba, Tunisia"}]},{"given":"Richard","family":"Chbeir","sequence":"additional","affiliation":[{"name":"Univ Pau & Pays Adour, E2S UPPA, LIUPPA Anglet, France"}]}],"member":"320","published-online":{"date-parts":[[2021,11,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/EITech.2015.7162980"},{"key":"e_1_3_2_1_2_1","first-page":"2","article-title":"Automatic ontology construction from text: a review from shallow to deep learning trend","volume":"28","author":"Al-Aswadi Fatima N.","year":"2019","unstructured":"Fatima N. Al-Aswadi , Huah Yong Chan , and Keng Hoon . 2019 . Automatic ontology construction from text: a review from shallow to deep learning trend . Springer 28 , 2 (November 2019), 5--6. https:\/\/link.springer.com\/article\/10.1007\/s10462-019-09782-9 Fatima N. Al-Aswadi, Huah Yong Chan, and Keng Hoon. 2019. Automatic ontology construction from text: a review from shallow to deep learning trend. Springer 28, 2 (November 2019), 5--6. https:\/\/link.springer.com\/article\/10.1007\/s10462-019-09782-9","journal-title":"Springer"},{"volume-title":"A Survey of Topic Modeling in Text Mining. (IJACSA) International Journal of Advanced Computer Science and Applications","author":"Alghamdi Rubayyi","key":"e_1_3_2_1_3_1","unstructured":"Rubayyi Alghamdi and Khalid Alfalqi . 2015. A Survey of Topic Modeling in Text Mining. (IJACSA) International Journal of Advanced Computer Science and Applications , Vol. 6 , No. 1, 2015. 7 (2015). Rubayyi Alghamdi and Khalid Alfalqi. 2015. A Survey of Topic Modeling in Text Mining. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 1, 2015. 7 (2015)."},{"key":"e_1_3_2_1_4_1","volume-title":"Kye Hyun Kim, and Kyung-Sup Kwak","author":"Ali Farman","year":"2019","unstructured":"Farman Ali , Daehan Kwak , Pervez Khan , Shaker El-Sappagh , Amjad Ali , Sana Ullah , Kye Hyun Kim, and Kyung-Sup Kwak . 2019 . Transportation sentiment analysis using word embedding and ontology-based topic modeling. ELSEVIER 17 (2019). https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0950705119300942 Farman Ali, Daehan Kwak, Pervez Khan, Shaker El-Sappagh, Amjad Ali, Sana Ullah, Kye Hyun Kim, and Kyung-Sup Kwak. 2019. Transportation sentiment analysis using word embedding and ontology-based topic modeling. ELSEVIER 17 (2019). https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0950705119300942"},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016)","author":"Alvarez-Melis David","year":"2016","unstructured":"David Alvarez-Melis and Martin Saveski . 2016 . Topic Modeling in Twitter: Aggregating Tweets by Conversations . Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016) 4 (2016). https:\/\/www.aaai.org\/ocs\/index.php\/ICWSM\/ICWSM16\/paper\/viewFile\/13162\/12778 David Alvarez-Melis and Martin Saveski. 2016. Topic Modeling in Twitter: Aggregating Tweets by Conversations. Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016) 4 (2016). https:\/\/www.aaai.org\/ocs\/index.php\/ICWSM\/ICWSM16\/paper\/viewFile\/13162\/12778"},{"key":"e_1_3_2_1_6_1","unstructured":"V. S. Anoop S. Asharaf and P. Deepak. 2016. Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach. Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016); ELSEVIER. 9 (2016).  V. S. Anoop S. Asharaf and P. Deepak. 2016. Unsupervised Concept Hierarchy Learning: A Topic Modeling Guided Approach. Twelfth International Multi-Conference on Information Processing-2016 (IMCIP-2016); ELSEVIER. 9 (2016)."},{"key":"e_1_3_2_1_7_1","volume-title":"Radhika M Pai, and Rahul Kulkarni.","author":"Attigeri Girija","year":"2018","unstructured":"Girija Attigeri , Manohara Pai M M , Radhika M Pai, and Rahul Kulkarni. 2018 . Knowledge Base Ontology Building For Fraud Detection Using Topic Modeling. ELSEVIER 8 (2018). Girija Attigeri, Manohara Pai M M, Radhika M Pai, and Rahul Kulkarni. 2018. Knowledge Base Ontology Building For Fraud Detection Using Topic Modeling. ELSEVIER 8 (2018)."},{"key":"e_1_3_2_1_8_1","volume-title":"Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints. Education and Management Engineering. 34","author":"Bastani Kaveh","year":"2019","unstructured":"Kaveh Bastani , Hamed Namavari , and Jeffry Shaffer . 2019. Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints. Education and Management Engineering. 34 ( 2019 ). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S095741741930154X Kaveh Bastani, Hamed Namavari, and Jeffry Shaffer. 2019. Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints. Education and Management Engineering. 34 (2019). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S095741741930154X"},{"key":"e_1_3_2_1_9_1","volume-title":"Mulvenna","author":"Blair Stuart J.","year":"2019","unstructured":"Stuart J. Blair , Yaxin Bi , and Maurice D . Mulvenna . 2019 . Aggregated topic models for increasing social media topic coherence. Springer 19 (2019). Stuart J. Blair, Yaxin Bi, and Maurice D. Mulvenna. 2019. Aggregated topic models for increasing social media topic coherence. Springer 19 (2019)."},{"key":"e_1_3_2_1_10_1","volume-title":"Evaluation and Applications. Computational Linguistics","volume":"32","author":"Buitelaar Paul","year":"2005","unstructured":"Paul Buitelaar , Philipp Cimiano , and Bernado Magnini . 2005 . Ontology Learning from Text: Methods , Evaluation and Applications. Computational Linguistics , Volume 32 , Number 4. 4 (2005). Paul Buitelaar, Philipp Cimiano, and Bernado Magnini. 2005. Ontology Learning from Text: Methods, Evaluation and Applications. Computational Linguistics, Volume 32, Number 4. 4 (2005)."},{"key":"e_1_3_2_1_11_1","volume-title":"36th International Symposium on Automation and Robotics in Construction (ISARC 2019","author":"Chowdhury S.","year":"2019","unstructured":"S. Chowdhury and J. Zhu . 2019. Towards the Ontology Development for Smart Transportation Infrastructure Planning via Topic Modeling . 36th International Symposium on Automation and Robotics in Construction (ISARC 2019 ). 10 ( 2019 ). S. Chowdhury and J. Zhu. 2019. Towards the Ontology Development for Smart Transportation Infrastructure Planning via Topic Modeling. 36th International Symposium on Automation and Robotics in Construction (ISARC 2019). 10 (2019)."},{"key":"e_1_3_2_1_12_1","unstructured":"Euthymios Drymonas Kalliopi Zervanou and Euripides G.M. Petrakis. [n.d.]. ResearchGate ([n. d.]).  Euthymios Drymonas Kalliopi Zervanou and Euripides G.M. Petrakis. [n.d.]. ResearchGate ([n. d.])."},{"key":"e_1_3_2_1_13_1","volume-title":"Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining","author":"Frisoni Giacomo","year":"2020","unstructured":"Giacomo Frisoni , Gianluca Moro , and Antonella Carbonaro . 2020. Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining . Scitepress 12 ( 2020 ). Giacomo Frisoni, Gianluca Moro, and Antonella Carbonaro. 2020. Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining. Scitepress 12 (2020)."},{"key":"e_1_3_2_1_14_1","volume-title":"IMPACT OF TOPIC MODELLING METHODS AND TEXT CLASSIFICATION TECHNIQUES IN TEXT MINING: A SURVEY. International Journal of Advances in Electronics and Computer Science, ISSN: 2393--2835 6 (March","author":"George MINO","year":"2017","unstructured":"MINO George , P. BEAULAH SOUNDARABAI, and KARTHIK KRISHNAMURTHI. 2017 . IMPACT OF TOPIC MODELLING METHODS AND TEXT CLASSIFICATION TECHNIQUES IN TEXT MINING: A SURVEY. International Journal of Advances in Electronics and Computer Science, ISSN: 2393--2835 6 (March 2017). http:\/\/www.iraj.in\/journal\/journal_file\/journal_pdf\/12-351-149622472172-77.pdf MINO George, P. BEAULAH SOUNDARABAI, and KARTHIK KRISHNAMURTHI. 2017. IMPACT OF TOPIC MODELLING METHODS AND TEXT CLASSIFICATION TECHNIQUES IN TEXT MINING: A SURVEY. International Journal of Advances in Electronics and Computer Science, ISSN: 2393--2835 6 (March 2017). http:\/\/www.iraj.in\/journal\/journal_file\/journal_pdf\/12-351-149622472172-77.pdf"},{"key":"e_1_3_2_1_15_1","volume-title":"Unsupervised Domain Ontology Learning From Text. ResearchGate 16","author":"Harissh V Sree","year":"2017","unstructured":"V Sree Harissh , M Vignesh , U Kodaikkaavirinaadan , and T V Geetha . 2017. Unsupervised Domain Ontology Learning From Text. ResearchGate 16 ( 2017 ). V Sree Harissh, M Vignesh, U Kodaikkaavirinaadan, and T V Geetha. 2017. Unsupervised Domain Ontology Learning From Text. ResearchGate 16 (2017)."},{"key":"e_1_3_2_1_16_1","volume-title":"Topic Modeling: A Comprehensive Review. Researchgate 17 (July","author":"Kherwa Pooja","year":"2018","unstructured":"Pooja Kherwa and Poonam Bansal . 2018 . Topic Modeling: A Comprehensive Review. Researchgate 17 (July 2018). https:\/\/www.researchgate.net\/publication\/334667298_Topic_Modeling_A_Comprehensive_Review Pooja Kherwa and Poonam Bansal. 2018. Topic Modeling: A Comprehensive Review. Researchgate 17 (July 2018). https:\/\/www.researchgate.net\/publication\/334667298_Topic_Modeling_A_Comprehensive_Review"},{"key":"e_1_3_2_1_17_1","unstructured":"Rinaldo Lima Bernard Espinasse and Fred Freitas. [n.d.]. Engineering2019 ([n.d.]).  Rinaldo Lima Bernard Espinasse and Fred Freitas. [n.d.]. Engineering2019 ([n.d.])."},{"key":"e_1_3_2_1_18_1","unstructured":"Monika Rani Amit Kumar Dhar and O. P. Vyas. [n.d.]. Semi-Automatic Terminology Ontology Learning Based on Topic Modeling. SEMANTIC SCHOLAR 35 ([n.d.]). https:\/\/www.semanticscholar.org\/paper\/Semi-automatic-terminology-ontology-learning-based-Rani-Dhar\/4948d5f16cd1f6733f2d989577119fdd18c83d02  Monika Rani Amit Kumar Dhar and O. P. Vyas. [n.d.]. Semi-Automatic Terminology Ontology Learning Based on Topic Modeling. SEMANTIC SCHOLAR 35 ([n.d.]). https:\/\/www.semanticscholar.org\/paper\/Semi-automatic-terminology-ontology-learning-based-Rani-Dhar\/4948d5f16cd1f6733f2d989577119fdd18c83d02"},{"key":"e_1_3_2_1_19_1","volume-title":"ONTOLOGY LEARNING PROCEDURES BASED ON WEB MINING TECHNIQUES. ResearchGate 7","author":"Singh Satyaveer","year":"2019","unstructured":"Satyaveer Singh and Mahendra Singh . 2019. ONTOLOGY LEARNING PROCEDURES BASED ON WEB MINING TECHNIQUES. ResearchGate 7 ( 2019 ). Satyaveer Singh and Mahendra Singh. 2019. ONTOLOGY LEARNING PROCEDURES BASED ON WEB MINING TECHNIQUES. ResearchGate 7 (2019)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/2390948.2391052"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-16-S13-S8"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2017.18"}],"event":{"name":"MEDES '21: International Conference on Management of Digital EcoSystems","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Virtual Event Tunisia","acronym":"MEDES '21"},"container-title":["Proceedings of the 13th International Conference on Management of Digital EcoSystems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444757.3485110","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3444757.3485110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:20Z","timestamp":1750197800000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3444757.3485110"}},"subtitle":["An automatic ontology construction based on LDA from texual data"],"short-title":[],"issued":{"date-parts":[[2021,11]]},"references-count":22,"alternative-id":["10.1145\/3444757.3485110","10.1145\/3444757"],"URL":"https:\/\/doi.org\/10.1145\/3444757.3485110","relation":{},"subject":[],"published":{"date-parts":[[2021,11]]},"assertion":[{"value":"2021-11-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}