{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:23:13Z","timestamp":1743110593757,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030139285"},{"type":"electronic","value":"9783030139292"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-13929-2_3","type":"book-chapter","created":{"date-parts":[[2019,2,13]],"date-time":"2019-02-13T18:10:18Z","timestamp":1550081418000},"page":"43-70","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Similar Terms Grouping Yields Faster Terminological Saturation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7300-8818","authenticated-orcid":false,"given":"Victoria","family":"Kosa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3236-2789","authenticated-orcid":false,"given":"David","family":"Chaves-Fraga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7398-3464","authenticated-orcid":false,"given":"Nataliya","family":"Keberle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4925-9131","authenticated-orcid":false,"given":"Aliaksandr","family":"Birukou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,2,14]]},"reference":[{"key":"3_CR1","unstructured":"Chugunenko, A., Kosa, V., Popov, R., Chaves-Fraga, D., Ermolayev, V.: Refining terminological saturation using string similarity measures. In: Ermolayev, V., et al. (eds.) Proceedings of the ICTERI 2018. Volume I: Main Conference, Kyiv, Ukraine, 14\u201317 May 2018, vol. 2105, pp. 3\u201318. CEUR-WS, online"},{"key":"3_CR2","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1007\/978-3-319-03998-5_8","volume-title":"Information and Communication Technologies in Education, Research, and Industrial Applications","author":"O Tatarintseva","year":"2013","unstructured":"Tatarintseva, O., Ermolayev, V., Keller, B., Matzke, W.-E.: Quantifying ontology fitness in ontoelect using saturation- and vote-based metrics. In: Ermolayev, V., Mayr, H.C., Nikitchenko, M., Spivakovsky, A., Zholtkevych, G. (eds.) ICTERI 2013. CCIS, vol. 412, pp. 136\u2013162. Springer, Cham (2013). https:\/\/doi.org\/10.1007\/978-3-319-03998-5_8"},{"issue":"Sp. Issue","key":"3_CR3","first-page":"86","volume":"13","author":"V Ermolayev","year":"2018","unstructured":"Ermolayev, V.: OntoElecting requirements for domain ontologies. The case of time domain. EMISA Int. J. Concept. Model. 13(Sp. Issue), 86\u2013109 (2018)","journal-title":"EMISA Int. J. Concept. Model."},{"key":"3_CR4","unstructured":"Fahmi, I., Bouma, G., van der Plas, L.: Improving statistical method using known terms for automatic term extraction. In: Computational Linguistics in the Netherlands, CLIN 17 (2007)"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Wermter, J., Hahn, U.: Finding new terminology in very large corpora. In: Clark, P., Schreiber, G. (eds.) Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP 2005, pp. 137\u2013144. ACM, Banff (2005)","DOI":"10.1145\/1088622.1088648"},{"key":"3_CR6","unstructured":"Zhang, Z., Iria, J., Brewster, C., Ciravegna, F.: A comparative evaluation of term recognition algorithms. In: Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008, Marrakech, Morocco (2008)"},{"key":"3_CR7","first-page":"49","volume-title":"The Balancing Act: Combining Symbolic and Statistical Approaches to Language","author":"B Daille","year":"1996","unstructured":"Daille, B.: Study and implementation of combined techniques for automatic extraction of terminology. In: Klavans, J., Resnik, P. (eds.) The Balancing Act: Combining Symbolic and Statistical Approaches to Language, pp. 49\u201366. The MIT Press, Cambridge (1996)"},{"key":"3_CR8","unstructured":"Caraballo, S.A., Charniak, E.: Determining the specificity of nouns from text. In: Proceedings of the 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pp. 63\u201370 (1999)"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Astrakhantsev, N.: ATR4S: toolkit with state-of-the-art automatic terms recognition methods in scala. arXiv preprint arXiv:1611.07804 (2016)","DOI":"10.1007\/s10579-017-9409-4"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Medelyan, O., Witten, I.H.: Thesaurus based automatic keyphrase indexing. In: Marchionini, G., Nelson, M.L., Marshall, C.C. (eds.) Proceedings of the ACM\/IEEE Joint Conf on Digital Libraries, JCDL 2006, pp. 296\u2013297. ACM, Chapel Hill (2006)","DOI":"10.1145\/1141753.1141819"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Ahmad, K., Gillam, L., Tostevin, L.: University of surrey participation in TREC8: weirdness indexing for logical document extrapolation and retrieval (WILDER). In: Proceedings of the 8th Text Retrieval Conference, TREC-8 (1999)","DOI":"10.6028\/NIST.SP.500-246.city-pliers"},{"key":"3_CR12","unstructured":"Sclano, F., Velardi, P.: TermExtractor: a web application to learn the common terminology of interest groups and research communities. In: Proceedings of the 9th Conference on Terminology and Artificial Intelligence, TIA 2007, Sophia Antipolis, France (2007)"},{"issue":"3","key":"3_CR13","doi-asserted-by":"publisher","first-page":"145","DOI":"10.5715\/jnlp.6.3_145","volume":"6","author":"KT Frantzi","year":"1999","unstructured":"Frantzi, K.T., Ananiadou, S.: The C\/NC value domain independent method for multi-word term extraction. J. Nat. Lang. Proc. 6(3), 145\u2013180 (1999)","journal-title":"J. Nat. Lang. Proc."},{"issue":"3","key":"3_CR14","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1147\/sj.433.0546","volume":"43","author":"L Kozakov","year":"2004","unstructured":"Kozakov, L., Park, Y., Fin, T., Drissi, Y., Doganata, Y., Cofino, T.: Glossary extraction and utilization in the information search and delivery system for IBM Technical Support. IBM Syst. J. 43(3), 546\u2013563 (2004)","journal-title":"IBM Syst. J."},{"key":"3_CR15","unstructured":"Astrakhantsev, N.: Methods and software for terminology extraction from domain-specific text collection. Ph.D. thesis, Institute for System Programming of Russian Academy of Sciences (2015)"},{"key":"3_CR16","unstructured":"Bordea, G., Buitelaar, P., Polajnar, T.: Domain-independent term extraction through domain modelling. In: Proceedings of the 10th International Conference on Terminology and Artificial Intelligence, TIA 2013, Paris, France (2013)"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Badenes-Olmedo, C., Redondo-Garc\u00eda, J.L., Corcho, O.: Efficient clustering from distributions over topics. In: Proceedings of the K-CAP 2017, Article 17, 8 p. ACM, New York (2017)","DOI":"10.1145\/3148011.3148019"},{"issue":"13","key":"3_CR18","first-page":"13","volume":"68","author":"WH Gomaa","year":"2013","unstructured":"Gomaa, W.H., Fahmy, A.A.: A survey of text similarity approaches. Int. J. Comput. Appl. 68(13), 13\u201318 (2013)","journal-title":"Int. J. Comput. Appl."},{"issue":"3","key":"3_CR19","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1007\/s11704-015-5900-5","volume":"10","author":"M Yu","year":"2016","unstructured":"Yu, M., Li, G., Deng, D., Feng, J.: String similarity search and join: a survey. Front. Comput. Sci. 10(3), 399\u2013417 (2016)","journal-title":"Front. Comput. Sci."},{"issue":"4","key":"3_CR20","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1093\/ijl\/3.4.235","volume":"3","author":"GA Miller","year":"1990","unstructured":"Miller, G.A., Beckwith, R., Fellbaum, C.D., Gross, D., Miller, K.: WordNet: an online lexical database. Int. J. Lexicograph. 3(4), 235\u2013244 (1990)","journal-title":"Int. J. Lexicograph."},{"issue":"4","key":"3_CR21","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1007\/s00453-009-9369-1","volume":"60","author":"M Arnold","year":"2011","unstructured":"Arnold, M., Ohlebusch, E.: Linear time algorithms for generalizations of the longest common substring problem. Algorithmica 60(4), 806\u2013818 (2011)","journal-title":"Algorithmica"},{"issue":"8","key":"3_CR22","first-page":"707","volume":"10","author":"VI Levenshtein","year":"1966","unstructured":"Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10(8), 707\u2013710 (1966)","journal-title":"Sov. Phys. Dokl."},{"issue":"2","key":"3_CR23","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1002\/j.1538-7305.1950.tb00463.x","volume":"29","author":"RW Hamming","year":"1950","unstructured":"Hamming, R.W.: Error detecting and error correcting codes. Bell Syst. Tech. J. 29(2), 147\u2013160 (1950)","journal-title":"Bell Syst. Tech. J."},{"key":"3_CR24","unstructured":"Monger, A., Elkan, C.: The field-matching problem: algorithm and applications. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 267\u2013270. AAAI Press (1996)"},{"issue":"406","key":"3_CR25","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1080\/01621459.1989.10478785","volume":"84","author":"MA Jaro","year":"1989","unstructured":"Jaro, M.A.: Advances in record-linkage methodology as applied to matching the 1985 census of Tampa, Florida. J. Am. Stat. Assoc. 84(406), 414\u2013420 (1989)","journal-title":"J. Am. Stat. Assoc."},{"key":"3_CR26","unstructured":"Winkler, W.E.: String comparator metrics and enhanced decision rules in the Fellegi-Sunter model of record linkage. In: Proceedings of the Section on Survey Research Methods. ASA, pp. 354\u2013359 (1990)"},{"issue":"3","key":"3_CR27","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297\u2013302 (1945)","journal-title":"Ecology"},{"issue":"4","key":"3_CR28","first-page":"1","volume":"5","author":"T S\u00f8rensen","year":"1948","unstructured":"S\u00f8rensen, T.: A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on Danish commons. Kongelige Danske Videnskabernes Selskab 5(4), 1\u201334 (1948)","journal-title":"Kongelige Danske Videnskabernes Selskab"},{"key":"3_CR29","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1111\/j.1469-8137.1912.tb05611.x","volume":"11","author":"P Jaccard","year":"1912","unstructured":"Jaccard, P.: The distribution of the flora in the alpine zone. New Phytol. 11, 37\u201350 (1912)","journal-title":"New Phytol."},{"key":"3_CR30","unstructured":"Huang, A.: Similarity measures for text document clustering. In: Proceedings of the 6th New Zealand Computer Science Research Student Conference (NZCSRSC2008), Christchurch, New Zealand, pp. 49\u201356 (2008)"},{"issue":"4","key":"3_CR31","first-page":"35","volume":"24","author":"A Singhal","year":"2001","unstructured":"Singhal, A.: Modern information retrieval: a brief overview. Bull. the IEEE Comput. Soc. Tech. Comm. Data Eng. 24(4), 35\u201343 (2001)","journal-title":"Bull. the IEEE Comput. Soc. Tech. Comm. Data Eng."},{"key":"3_CR32","doi-asserted-by":"crossref","unstructured":"Lu, J., Lin, C., Wang, W., Li, C., Wang, H.: String similarity measures and joins with synonyms. In: Proceedings of the 2013 ACM SIGMOD International Conference on the Management of Data, pp. 373\u2013384 (2013)","DOI":"10.1145\/2463676.2465313"},{"issue":"1","key":"3_CR33","doi-asserted-by":"publisher","first-page":"658","DOI":"10.14778\/1687627.1687702","volume":"2","author":"H Lee","year":"2009","unstructured":"Lee, H., Ng, R.T., Shim, K.: Power-law based estimation of set similarity join size. Proc. VLDB Endow. 2(1), 658\u2013669 (2009)","journal-title":"Proc. VLDB Endow."},{"issue":"20","key":"3_CR34","doi-asserted-by":"publisher","first-page":"2768","DOI":"10.1093\/bioinformatics\/btm393","volume":"23","author":"Y Tsuruoka","year":"2007","unstructured":"Tsuruoka, Y., McNaught, J., Tsujii, J., Ananiadou, S.: Learning string similarity measures for gene\/protein name dictionary look-up using logistic regression. Bioinformatics 23(20), 2768\u20132774 (2007)","journal-title":"Bioinformatics"},{"key":"3_CR35","doi-asserted-by":"crossref","unstructured":"Qin, J., Wang, W., Lu, Y., Xiao, C., Lin, X.: Efficient exact edit similarity query processing with the asymmetric signature scheme. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, pp. 1033\u20131044. ACM, New York (2011)","DOI":"10.1145\/1989323.1989431"},{"key":"3_CR36","unstructured":"Corcho, O., Gonzalez, R., Badenes, C., Dong, F.: Repository of indexed ROs. Deliverable No. 5.4. Dr Inventor project (2015)"},{"key":"3_CR37","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/978-3-319-76168-8_7","volume-title":"Information and Communication Technologies in Education, Research, and Industrial Applications","author":"V Kosa","year":"2018","unstructured":"Kosa, V., et al.: Cross-evaluation of automated term extraction tools by measuring terminological saturation. In: Bassiliades, N., et al. (eds.) ICTERI 2017. CCIS, vol. 826, pp. 135\u2013163. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-76168-8_7"},{"key":"3_CR38","unstructured":"Minkowski, H.: Geometrie der Zahlen. Bibliotheca Mathematica Teubneriana, Band 40 Johnson Reprint Corp., New York-London, 256 pp. (1968). (in German)"},{"key":"3_CR39","unstructured":"Moiseenko, S., Ermolayev, V.: Conceptualizing and formalizing requirements for ontology engineering. In: Antoniou, G., Zholtkevych, G. (eds.) Proceedings of the ICTERI 2018 Ph.D. Symposium, Kyiv, Ukraine, 14\u201317 May, vol. 2122, pp. 35\u201344. CEUR-WS (2018, online)"}],"container-title":["Communications in Computer and Information Science","Information and Communication Technologies in Education, Research, and Industrial Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-13929-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T19:29:32Z","timestamp":1720985372000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-13929-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030139285","9783030139292"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-13929-2_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"14 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICTERI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kyiv","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ukraine","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":"14 May 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 May 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icteri2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icteri.org\/icteri-2018\/","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"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"251","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"14","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"6% - 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"}},{"value":"5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"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"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}