{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T04:14:21Z","timestamp":1746072861784,"version":"3.40.4"},"publisher-location":"Berlin, Heidelberg","reference-count":32,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642383250"},{"type":"electronic","value":"9783642383267"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-38326-7_9","type":"book-chapter","created":{"date-parts":[[2013,4,30]],"date-time":"2013-04-30T16:27:36Z","timestamp":1367339256000},"page":"58-67","source":"Crossref","is-referenced-by-count":0,"title":["Comparison of Clustering Approaches through Their Application to Pharmacovigilance Terms"],"prefix":"10.1007","author":[{"given":"Marie","family":"Dupuch","sequence":"first","affiliation":[]},{"given":"Christopher","family":"Engstr\u00f6m","sequence":"additional","affiliation":[]},{"given":"Sergei","family":"Silvestrov","sequence":"additional","affiliation":[]},{"given":"Thierry","family":"Hamon","sequence":"additional","affiliation":[]},{"given":"Natalia","family":"Grabar","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Barzilay, R., Elhadad, N.: Sentence alignment for monolingual comparable corpora. In: EMNLP, pp. 25\u201332 (2003)","DOI":"10.3115\/1119355.1119359"},{"key":"9_CR2","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/11564126_22","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"M. Pa\u015fca","year":"2005","unstructured":"Pa\u015fca, M.: Mining paraphrases from self-anchored web sentence fragments. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol.\u00a03721, pp. 193\u2013204. Springer, Heidelberg (2005)"},{"key":"9_CR3","unstructured":"Max, A., Bouamor, H., Vilnat, A.: Generalizing sub-sentential paraphrase acquisition across original signal type of text pairs. In: EMNLP, pp. 721\u201331 (2012)"},{"key":"9_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/3-540-60925-3_64","volume-title":"Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing","author":"C. Jacquemin","year":"1996","unstructured":"Jacquemin, C.: A symbolic and surgical acquisition of terms through variation. In: Wermter, S., Riloff, E., Scheler, G. (eds.) IJCAI-WS 1995. LNCS, vol.\u00a01040, pp. 425\u2013438. Springer, Heidelberg (1996)"},{"issue":"2","key":"9_CR5","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1075\/term.3.2.02dai","volume":"3","author":"B. Daille","year":"1996","unstructured":"Daille, B., Habert, B., Jacquemin, C., Royaut\u00e9, J.: Empirical observation of term variations and principles for their description. Terminology\u00a03(2), 197\u2013257 (1996)","journal-title":"Terminology"},{"key":"9_CR6","unstructured":"Hahn, U., Honeck, M., Piotrowsky, M., Schulz, S.: Subword segmentation - leveling out morphological variations for medical document retrieval. In: Annual Symposium of the American Medical Informatics Association (AMIA), Washington (2001)"},{"issue":"1","key":"9_CR7","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/21.24528","volume":"19","author":"R. Rada","year":"1989","unstructured":"Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man and Cybernetics\u00a019(1), 17\u201330 (1989)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Wu, Z., Palmer, M.: Verb semantics and lexical selection. In: Proceedings of Associations for Computational Linguistics, pp. 133\u2013138 (1994)","DOI":"10.3115\/981732.981751"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Leacock, C., Chodorow, M.: Combining local context and WordNet similarity for word sense identification. In: WordNet: An Electronic Lexical Database, pp. 305\u2013332 (1998)","DOI":"10.7551\/mitpress\/7287.003.0018"},{"key":"9_CR10","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/3-540-45483-7_8","volume-title":"Conceptual Structures: Integration and Interfaces","author":"J. Zhong","year":"2002","unstructured":"Zhong, J., Zhu, H., Li, J., Yu, Y.: Conceptual graph matching for semantic search. In: Priss, U., Corbett, D.R., Angelova, G. (eds.) ICCS 2002. LNCS (LNAI), vol.\u00a02393, pp. 92\u2013106. Springer, Heidelberg (2002)"},{"key":"9_CR11","unstructured":"Seco, N., Veale, T., Hayes, J.: An intrinsic information content metric for semantic similarity in wordnet. In: Proceedings of the 16th European Conference on Artificial Intelligence (ECAI 2004), pp. 1089\u20131090 (2004)"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, H., Al-Mubaid, H.: New ontology-based semantic similarity measure for the biomedical domain. IEEE Eng. Med. Biol. Proc., 623\u2013628 (2006)","DOI":"10.1109\/GRC.2006.1635880"},{"key":"9_CR13","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/3-540-39967-4_14","volume-title":"Knowledge Engineering and Knowledge Management. Methods, Models, and Tools","author":"A. Maedche","year":"2000","unstructured":"Maedche, A., Staab, S.: Mining ontologies from text. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol.\u00a01937, pp. 189\u2013202. Springer, Heidelberg (2000)"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Bodenreider, O., Pakhomov, S.: Exploring adjectival modification in biomedical discourse across two genres. In: Workshop Natural Language Processing in Biomedical Applications of ACL, pp. 105\u2013112 (2003)","DOI":"10.3115\/1118958.1118972"},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1075\/term.10.1.03gra","volume":"10","author":"N. Grabar","year":"2004","unstructured":"Grabar, N., Zweigenbaum, P.: Lexically-based terminology structuring. Terminology\u00a010, 23\u201354 (2004)","journal-title":"Terminology"},{"key":"9_CR16","doi-asserted-by":"crossref","unstructured":"D\u2019aquin, M., Euzenat, J., Le Duc, C., Lewen, H.: Sharing and reusing aligned ontologies with cupboard. In: K-CAP 2009, pp. 179\u2013180 (2009)","DOI":"10.1145\/1597735.1597771"},{"key":"9_CR17","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281\u2013297 (1967)"},{"key":"9_CR18","unstructured":"Kaufman, L., Rousseeuw, P.: Clustering by means of medoids. In: Statistical Data Analysis based on the L1 Norm, pp. 405\u2013416 (1987)"},{"key":"9_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern Recognition with Fuzzy Objective Function Algoritms","author":"J. Bezdek","year":"1981","unstructured":"Bezdek, J.: Pattern Recognition with Fuzzy Objective Function Algoritms. Plenum Press, New York (1981)"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Krishnapuram, R., Joshi, A., Nasraoui, O., Yi, L.: Low complexity fuzzy relational clustering algorithms for web mining. IEEE Trans. Fuzzy System, 595\u2013607 (2001)","DOI":"10.1109\/91.940971"},{"key":"9_CR21","unstructured":"Lelu, A.: Modles neuronaux pour lanalyse de donnes documentaires et textuelles. Phd thesis, Universite de Paris VI, Paris, France (1993)"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Dupuch, M., Bousquet, C., Grabar, N.: Automatic creation and refinement of the clusters of pharmacovigilance terms. In: ACM IHI, pp. 181\u2013190 (2012)","DOI":"10.1145\/2110363.2110386"},{"key":"9_CR23","unstructured":"Cleuziou, G., Martin, L., Vrain, C.: PoBOC: An overlapping clustering algorithm. application to rule-based classification and textual data. In: ECAI, pp. 440\u2013444 (2004)"},{"key":"9_CR24","unstructured":"Cleuziou, G.: OKM: Une extension des k-moyennes pour la recherche de classes recouvrantes. In: EGC, pp. 691\u2013702 (2007)"},{"key":"9_CR25","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/BF02289588","volume":"32","author":"S. Johnson","year":"1967","unstructured":"Johnson, S.: Hierarchical clustering schemes. Psychometrika\u00a032, 241\u2013254 (1967)","journal-title":"Psychometrika"},{"key":"9_CR26","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"L. Kaufman","year":"1990","unstructured":"Kaufman, L., Rousseeuw, P.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (1990)"},{"key":"9_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, T., Ramakrishnan, R., Livny, M.: Birch: An efficient data clustering method for very large databases. In: ACM SIGMOD, pp. 103\u2013114 (1996)","DOI":"10.1145\/235968.233324"},{"key":"9_CR28","doi-asserted-by":"crossref","unstructured":"Guha, S., Rastogi, R., Shim, K.: Cure: An efficient clustering algorithm for large databases. In: ACM SIGMOD, pp. 73\u201384 (1998)","DOI":"10.1145\/276305.276312"},{"issue":"1","key":"9_CR29","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/1472-6947-8-S1-S4","volume":"8","author":"I. Alecu","year":"2008","unstructured":"Alecu, I., Bousquet, C., Jaulent, M.: A case report: Using snomed ct for grouping adverse drug reactions terms. BMC Med. Inform. Decis. Mak.\u00a08(1), 4 (2008)","journal-title":"BMC Med. Inform. Decis. Mak."},{"issue":"2","key":"9_CR30","doi-asserted-by":"publisher","first-page":"109","DOI":"10.2165\/00002018-199920020-00002","volume":"20","author":"E.G. Brown","year":"1999","unstructured":"Brown, E.G., Wood, L., Wood, S.: The medical dictionary for regulatory activities (MedDRA). Drug Saf.\u00a020(2), 109\u2013117 (1999)","journal-title":"Drug Saf."},{"key":"9_CR31","unstructured":"Stearns, M.Q., Price, C., Spackman, K.A., Wang, A.Y.: SNOMED clinical terms: Overview of the development process and project status. In: AMIA, pp. 662\u2013666 (2001)"},{"key":"9_CR32","unstructured":"NLM: UMLS Knowledge Sources Manual. National Library of Medicine, Bethesda, Maryland (2008), http:\/\/www.nlm.nih.gov\/research\/umls\/"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-38326-7_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T07:08:29Z","timestamp":1745996909000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-38326-7_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642383250","9783642383267"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-38326-7_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}