{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T22:06:26Z","timestamp":1767650786123,"version":"3.40.3"},"publisher-location":"Cham","reference-count":52,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030495589"},{"type":"electronic","value":"9783030495596"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-49559-6_9","type":"book-chapter","created":{"date-parts":[[2020,6,25]],"date-time":"2020-06-25T16:04:55Z","timestamp":1593101095000},"page":"178-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards a Term Clustering Framework for Modular Ontology Learning"],"prefix":"10.1007","author":[{"given":"Ziwei","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mounira","family":"Harzallah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabrice","family":"Guillet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryutaro","family":"Ichise","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,26]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_4","volume-title":"Mining Text Data","author":"CC Aggarwal","year":"2012","unstructured":"Aggarwal, C.C., Zhai, C.: A survey of text clustering algorithms. In: Aggarwal, C., Zhai, C. (eds.) Mining Text Data. Springer, Boston (2012). https:\/\/doi.org\/10.1007\/978-1-4614-3223-4_4"},{"key":"9_CR2","unstructured":"Arnold, T.: A tidy data model for natural language processing using cleanNLP. R J. 9(2), 1\u201320 (2017). https:\/\/journal.r-project.org\/archive\/2017\/RJ-2017-035\/index.html"},{"key":"9_CR3","first-page":"3","volume-title":"Ontology Learning from Text: Methods, Evaluation and Applications","author":"P Buitelaar","year":"2005","unstructured":"Buitelaar, P., Cimiano, P., Magnini, B.: Ontology learning from text: an overview. In: Buitelaar, P., Cimiano, P., Magnini, B. (eds.) Ontology Learning from Text: Methods, Evaluation and Applications, vol. 123, pp. 3\u201312. IOS press, Amsterdam (2005)"},{"key":"9_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/978-3-540-25956-5_3","volume-title":"The Semantic Web: Research and Applications","author":"P Buitelaar","year":"2004","unstructured":"Buitelaar, P., Olejnik, D., Sintek, M.: A prot\u00e9g\u00e9 plug-in for ontology extraction from text based on linguistic analysis. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 31\u201344. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-25956-5_3"},{"issue":"1","key":"9_CR5","first-page":"19","volume":"3","author":"L Burita","year":"2012","unstructured":"Burita, L., Gardavsky, P., Vejlupek, T.: K-gate ontology driven knowledge based system for decision support. J. Syst. Integr. 3(1), 19\u201331 (2012)","journal-title":"J. Syst. Integr."},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Camacho-Collados, J., et al.: SemEval-2018 Task 9: hypernym discovery. In: Proceedings of the 12th International Workshop on Semantic Evaluation, SemEval-2018, New Orleans, LA, United States. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/S18-1115"},{"key":"9_CR7","unstructured":"Chulyadyo, R., Harzallah, M., Berio, G.: Core ontology based approach for treating the flatness of automatically built ontology. In: KEOD, Portugal, pp. 316\u2013323, September 2013"},{"issue":"1","key":"9_CR8","first-page":"22","volume":"16","author":"KW Church","year":"1990","unstructured":"Church, K.W., Hanks, P.: Word association norms, mutual information, and lexicography. Comput. Linguist. 16(1), 22\u201329 (1990)","journal-title":"Comput. Linguist."},{"key":"9_CR9","unstructured":"Cimiano P., de Mantaras, R.L., Saitia, L.: Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text. In: 16th European Conference on Artificial Intelligence Conference Proceedings, vol. 110, p. 435 (2004)"},{"issue":"1","key":"9_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc.: Ser. B (Methodol.) 39(1), 1\u201322 (1977)","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"issue":"2","key":"9_CR11","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s10506-007-9028-2","volume":"15","author":"S Despress","year":"2007","unstructured":"Despress, S., Szulman, S.: Merging of legal micro-ontologies from Europen directives. Artif. Intell. Law 15(2), 187\u2013200 (2007). https:\/\/doi.org\/10.1007\/s10506-007-9028-2","journal-title":"Artif. Intell. Law"},{"issue":"1","key":"9_CR12","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1080\/01969727408546059","volume":"4","author":"JC Dunn","year":"1974","unstructured":"Dunn, J.C.: Well-separated clusters and optimal fuzzy partitions. J. Cybern. 4(1), 95\u2013104 (1974)","journal-title":"J. Cybern."},{"key":"9_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1007\/978-3-030-00178-0_27","volume-title":"AI Approaches to the Complexity of Legal Systems","author":"M El Ghosh","year":"2018","unstructured":"El Ghosh, M., Naja, H., Abdulrab, H., Khalil, M.: Application of ontology modularization for building a criminal domain ontology. In: Pagallo, U., Palmirani, M., Casanovas, P., Sartor, G., Villata, S. (eds.) AICOL 2015-2017. LNCS (LNAI), vol. 10791, pp. 394\u2013409. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00178-0_27"},{"key":"9_CR14","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01891-6_4","volume-title":"Knowledge Discovery Enhanced with Semantic and Social Information","author":"F Esposito","year":"2009","unstructured":"Esposito, F., Fanizzi, N., d\u2019Amato, C.: Partitional conceptual clustering of web resources annotated with ontology languages. In: Berendt, B., et al. (eds.) Knowledge Discovery Enhanced with Semantic and Social Information. Studies in Computational Intelligence, vol. 220. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-01891-6_4"},{"key":"9_CR15","first-page":"226","volume":"96","author":"M Ester","year":"1996","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. KDD 96, 226\u2013231 (1996)","journal-title":"KDD"},{"key":"9_CR16","unstructured":"Faure, D., N\u00e9dellec, C., Rouveirol, C.: Acquisition of semantic knowledge using machine learning methods: The system \u201casium\u201d. Universite Paris Sud, Technical report (1998)"},{"key":"9_CR17","unstructured":"Fern\u00e1ndez-L\u00f3pez, M., G\u00f3mez-P\u00e9rez, A., Juristo, N.: Methontology: From ontological art towards ontological engineering. In: AAAI (1997)"},{"issue":"5814","key":"9_CR18","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"2007","unstructured":"Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315(5814), 972\u2013976 (2007)","journal-title":"Science"},{"key":"9_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/978-3-319-46349-0_21","volume-title":"Advances in Intelligent Data Analysis XV","author":"K G\u00e1bor","year":"2016","unstructured":"G\u00e1bor, K., Zargayouna, H., Tellier, I., Buscaldi, D., Charnois, T.: Unsupervised relation extraction in specialized corpora using sequence mining. In: Bostr\u00f6m, H., Knobbe, A., Soares, C., Papapetrou, P. (eds.) IDA 2016. LNCS, vol. 9897, pp. 237\u2013248. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46349-0_21"},{"issue":"2","key":"9_CR20","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s10579-010-9129-5","volume":"45","author":"P Gamallo","year":"2011","unstructured":"Gamallo, P., Bordag, S.: Is singular value decomposition useful for word similarity extraction? Lang. Resour. Eval. 45(2), 95\u2013119 (2011). https:\/\/doi.org\/10.1007\/s10579-010-9129-5","journal-title":"Lang. Resour. Eval."},{"key":"9_CR21","first-page":"64","volume":"102","author":"A Gangemi","year":"2004","unstructured":"Gangemi, A., Catenacci, C., Battaglia, M.: Inflammation ontology design pattern: an exercise in building a core biomedical ontology with descriptions and situations. Stud. Health Technol. Inform. 102, 64\u201380 (2004)","journal-title":"Stud. Health Technol. Inform."},{"key":"9_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/11762256_13","volume-title":"The Semantic Web: Research and Applications","author":"A Gangemi","year":"2006","unstructured":"Gangemi, A., Catenacci, C., Ciaramita, M., Lehmann, J.: Modelling ontology evaluation and validation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 140\u2013154. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11762256_13"},{"issue":"3","key":"9_CR23","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1080\/03610920903140197","volume":"39","author":"G Govaert","year":"2010","unstructured":"Govaert, G., Nadif, M.: Latent block model for contingency table. Commun. Stat. Theory Methods 39(3), 416\u2013425 (2010)","journal-title":"Commun. Stat. Theory Methods"},{"key":"9_CR24","first-page":"298","volume":"114","author":"BC Grau","year":"2007","unstructured":"Grau, B.C., Horrocks, I., Kazakov, Y., Sattler, U.: A logical framework for modularity of ontologies. IJCAI 114, 298\u2013303 (2007)","journal-title":"IJCAI"},{"issue":"2","key":"9_CR25","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1006\/knac.1993.1008","volume":"5","author":"TR Gruber","year":"1993","unstructured":"Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5(2), 199\u2013220 (1993)","journal-title":"Knowl. Acquis."},{"key":"9_CR26","doi-asserted-by":"crossref","unstructured":"Hao, J., Zhang, C., Wang, H.: Using keywords clustering to construct ontological hierarchies. In: Proceedings of the 2009 IEEE\/WIC\/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 03, pp. 247\u2013250. IEEE Computer Society (2009)","DOI":"10.1109\/WI-IAT.2009.274"},{"issue":"23","key":"9_CR27","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1080\/00437956.1954.11659520","volume":"10","author":"Z Harris","year":"1954","unstructured":"Harris, Z.: Distributional structure. Word 10(23), 146\u2013162 (1954)","journal-title":"Word"},{"issue":"1","key":"9_CR28","first-page":"100","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. Roy. Stat. Soc.: Ser. C (Appl. Stat.) 28(1), 100\u2013108 (1979)","journal-title":"J. Roy. Stat. Soc.: Ser. C (Appl. Stat.)"},{"key":"9_CR29","unstructured":"Hois, J., Bhatt, M., Kutz, O.: Modular ontologies for architectural design. In: FOMI, pp. 66\u201377 (2009)"},{"issue":"1","key":"9_CR30","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert, L., Arabie, P.: Comparing partitions. J. Classif. 2(1), 193\u2013218 (1985). https:\/\/doi.org\/10.1007\/BF01908075","journal-title":"J. Classif."},{"key":"9_CR31","unstructured":"Jiang, X., Tan, A.H.: Mining ontological knowledge from domain-specific text documents. In: Fifth IEEE International Conference on Data Mining, pp. 665\u2013668. IEEE (2005)"},{"key":"9_CR32","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"L Kaufman","year":"2009","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis, vol. 344. Wiley, Hoboken (2009)"},{"key":"9_CR33","doi-asserted-by":"publisher","first-page":"109","DOI":"10.3233\/AO-2012-0109","volume":"7","author":"O Kutz","year":"2012","unstructured":"Kutz, O., Hois, J.: Modularity in ontologies. Appl. Ontol. 7, 109\u2013112 (2012). https:\/\/doi.org\/10.3233\/AO-2012-0109","journal-title":"Appl. Ontol."},{"issue":"6755","key":"9_CR34","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788 (1999)","journal-title":"Nature"},{"key":"9_CR35","doi-asserted-by":"crossref","unstructured":"Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Association for Computational Linguistics (ACL) System Demonstrations, pp. 55\u201360 (2014)","DOI":"10.3115\/v1\/P14-5010"},{"key":"9_CR36","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"issue":"5","key":"9_CR37","doi-asserted-by":"publisher","first-page":"71","DOI":"10.5121\/ijdkp.2012.2506","volume":"2","author":"P Nancy","year":"2012","unstructured":"Nancy, P., Ramani, R.G.: Discovery of patterns and evaluation of clustering algorithms in socialnetwork data (face book 100 universities) through data mining techniques and methods. Int. J. Data Min. Knowl. Manage. Process 2(5), 71 (2012)","journal-title":"Int. J. Data Min. Knowl. Manage. Process"},{"issue":"2","key":"9_CR38","first-page":"163","volume":"1","author":"D Oberle","year":"2006","unstructured":"Oberle, D., Lamparter, S., Grimm, S., Vrande\u010di\u0107, D., Staab, S., Gangemi, A.: Towards ontologies for formalizing modularization and communication in large software systems. Appl. Ontol. 1(2), 163\u2013202 (2006)","journal-title":"Appl. Ontol."},{"key":"9_CR39","doi-asserted-by":"publisher","first-page":"49","DOI":"10.3233\/AO-2011-0101","volume":"7","author":"A Opdahl","year":"2011","unstructured":"Opdahl, A., Berio, G., Harzallah, M., Matulevi\u010dius, R.: Ontology for enterprise and information systems modelling. Appl. Ontol. 7, 49\u201392 (2011)","journal-title":"Appl. Ontol."},{"key":"9_CR40","unstructured":"O\u2019Connor, L., Feizi, S.: Biclustering using message passing. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N.D., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 27, pp. 3617\u20133625. Curran Associates, Inc. (2014). http:\/\/papers.nips.cc\/paper\/5603-biclustering-using-message-passing.pdf"},{"issue":"6","key":"9_CR41","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1016\/S0031-3203(96)00127-6","volume":"30","author":"NR Pal","year":"1997","unstructured":"Pal, N.R., Biswas, J.: Cluster validation using graph theoretic concepts. Pattern Recogn. 30(6), 847\u2013857 (1997)","journal-title":"Pattern Recogn."},{"issue":"336","key":"9_CR42","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"WM Rand","year":"1971","unstructured":"Rand, W.M.: Objective criteria for the evaluation of clustering methods. J. Am. Stat. Assoc. 66(336), 846\u2013850 (1971)","journal-title":"J. Am. Stat. Assoc."},{"key":"9_CR43","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.engappai.2017.05.006","volume":"63","author":"M Rani","year":"2017","unstructured":"Rani, M., Dhar, A.K., Vyas, O.: Semi-automatic terminology ontology learning based on topic modeling. Eng. Appl. Artif. Intell. 63, 108\u2013125 (2017)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"9_CR44","unstructured":"Rdrr.io: Silhouette: Compute or extract silhouette information from clustering (2019). https:\/\/rdrr.io\/cran\/cluster\/man\/silhouette.html . Accessed 10 May 2019"},{"issue":"15","key":"9_CR45","doi-asserted-by":"publisher","first-page":"5907","DOI":"10.1016\/j.eswa.2013.05.005","volume":"40","author":"AB Rios-Alvarado","year":"2013","unstructured":"Rios-Alvarado, A.B., Lopez-Arevalo, I., Sosa-Sosa, V.J.: Learning concept hierarchies from textual resources for ontologies construction. Expert Syst. Appl. 40(15), 5907\u20135915 (2013)","journal-title":"Expert Syst. Appl."},{"key":"9_CR46","first-page":"1","volume":"3","author":"A Scherpa","year":"2009","unstructured":"Scherpa, A., Saathoffa, C., Franza, T., Staaba, S.: Designing core ontologies. Appl. Ontol. 3, 1\u20133 (2009)","journal-title":"Appl. Ontol."},{"key":"9_CR47","doi-asserted-by":"crossref","unstructured":"Song, Q., Liu, J., Wang, X., Wang, J.: A novel automatic ontology construction method based on web data. In: 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 762\u2013765. IEEE (2014)","DOI":"10.1109\/IIH-MSP.2014.194"},{"key":"9_CR48","unstructured":"spaCy: Spacy:industrial-strength natural language processing (NLP) with python and cython, explosion AI (2019). https:\/\/github.com\/explosion\/spaCy . Accessed 10 May 2019"},{"key":"9_CR49","unstructured":"Wagner, S., Wagner, D.: Comparing clusterings: an overview. Universit\u00e4t Karlsruhe, Fakult\u00e4t f\u00fcr Informatik Karlsruhe (2007)"},{"key":"9_CR50","doi-asserted-by":"publisher","first-page":"129","DOI":"10.4018\/978-1-60960-625-1.ch007","volume-title":"Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances","author":"W Wang","year":"2011","unstructured":"Wang, W., Barnaghi, P.M., Bargiela, A.: Learning SKOS relations for terminological ontologies from text. In: Wong, W., Liu, W., Bennamoun, M. (eds.) Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances, pp. 129\u2013152. IGI Global, Hershey (2011)"},{"key":"9_CR51","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2016","unstructured":"Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, Burlington (2016)"},{"key":"9_CR52","doi-asserted-by":"crossref","unstructured":"XU, Z., Harzallah, M., Guillet, F.: Comparing of term clustering frameworks for modular ontology learning. In: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, Seville, Spain, pp. 128\u2013135. SCITEPRESS - Science and Technology Publications, September 2018","DOI":"10.5220\/0006960401280135"}],"container-title":["Communications in Computer and Information Science","Knowledge Discovery, Knowledge Engineering and Knowledge Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-49559-6_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T12:18:43Z","timestamp":1723119523000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-49559-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030495589","9783030495596"],"references-count":52,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-49559-6_9","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"26 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IC3K","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"18 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ic3k2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic3k.org\/?y=2018","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":"PRIMORIS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"167","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":"12","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":"7% - 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":"3","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)"}}]}}