{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:16:21Z","timestamp":1740122181012,"version":"3.37.3"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2011,7,12]],"date-time":"2011-07-12T00:00:00Z","timestamp":1310428800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2011,7,12]],"date-time":"2011-07-12T00:00:00Z","timestamp":1310428800000},"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":["Inf Retrieval"],"published-print":{"date-parts":[[2012,4]]},"DOI":"10.1007\/s10791-011-9173-9","type":"journal-article","created":{"date-parts":[[2011,7,11]],"date-time":"2011-07-11T04:36:37Z","timestamp":1310358997000},"page":"93-115","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["The optimum clustering framework: implementing the cluster hypothesis"],"prefix":"10.1007","volume":"15","author":[{"given":"Norbert","family":"Fuhr","sequence":"first","affiliation":[]},{"given":"Marc","family":"Lechtenfeld","sequence":"additional","affiliation":[]},{"given":"Benno","family":"Stein","sequence":"additional","affiliation":[]},{"given":"Tim","family":"Gollub","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,7,12]]},"reference":[{"key":"9173_CR1","unstructured":"Ackerman, M., & Ben-David, S. (2008). Measures of clustering quality: A working set of axioms. In Proceedings NIPS 200 (pp. 121\u2013128). MIT Press."},{"key":"9173_CR2","unstructured":"Allan, J., Carbonell, J., Doddington, G., Yamron, J., & Yang, Y. (1998). Topic detection and tracking pilot study final report. In Proceedings of the DARPA broadcast news transcription and understanding workshop (pp. 194\u2013218)."},{"issue":"4","key":"9173_CR3","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/s10791-008-9066-8","volume":"12","author":"E. Amigo","year":"2009","unstructured":"Amigo, E., Gonzalo, J., Artiles, J., & Verdejo, F. (2009). A comparison of extrinsic clustering evaluation metrics based on formal constraints. Information Retrieval, 12(4), 461\u2013486.","journal-title":"Information Retrieval"},{"key":"9173_CR4","doi-asserted-by":"crossref","unstructured":"Arampatzis, A. T., Robertson, S., & Kamps, J. (2009). Score distributions in information retrieval. In ICTIR \u201909 (pp. 139\u2013151). Springer.","DOI":"10.1007\/978-3-642-04417-5_13"},{"key":"9173_CR5","doi-asserted-by":"crossref","unstructured":"Bagga, A., & Baldwin, B. (1998). Entity-based cross-document coreferencing using the vector space model. In COLING-ACL (pp. 79\u201385).","DOI":"10.3115\/980451.980859"},{"key":"9173_CR6","doi-asserted-by":"crossref","unstructured":"Barker, K., & Cornacchia, N. (2000). Using noun phrase heads to extract document keyphrases. In Proceedings AI \u201900 (pp. 40\u201352). London, UK: Springer.","DOI":"10.1007\/3-540-45486-1_4"},{"key":"9173_CR7","unstructured":"Bezdek, J., & Pal, N. (1995). Cluster validation with generalized Dunn\u2019s indices. In Proceedings of 2nd conference on ANNES (pp. 190\u2013193). Piscataway, NJ: IEEE Press."},{"issue":"1","key":"9173_CR8","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1214\/07-AOAS114","volume":"1","author":"D. Blei","year":"2007","unstructured":"Blei, D., & Lafferty, J. (2007). A correlated topic model of science. The Annals of Applied Statistics, 1(1), 17\u201335.","journal-title":"The Annals of Applied Statistics"},{"key":"9173_CR9","first-page":"993","volume":"3","author":"D. M. Blei","year":"2003","unstructured":"Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet\u00a0allocation. Journal of Machine Learning Research, 3, 993\u20131022.","journal-title":"Journal of Machine Learning Research"},{"key":"9173_CR10","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1109\/TKDE.2008.50","volume":"20","author":"H. Chim","year":"2008","unstructured":"Chim, H., & Deng, X. (2008). Efficient phrase-based document similarity for clustering. IEEE Transactions on Knowledge and Data Engineering, 20, 1217\u20131229.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"9173_CR11","unstructured":"Cool, C., & Belkin, N. J. (2002). A classification of interactions with information. In H. Bruce, R. Fidel, P. Ingwersen, & P. Vakkari, (Eds.), Emerging frameworks and methods. Proceedings of the Fourth International Conference on Conceptions of Library and Information Science (COLIS4) (pp. 1\u201315). Greenwood Village. Libraries Unlimited."},{"key":"9173_CR12","doi-asserted-by":"crossref","unstructured":"Cutting, D., Karger, D., Pedersen, J., & Tukey, J. (1992). Scatter\/gather: A cluster-based approach to browsing large document collections. In Proceedings of SIGIR \u201992 (pp. 318\u2013329). ACM Press.","DOI":"10.1145\/133160.133214"},{"key":"9173_CR13","first-page":"1551","volume":"6","author":"H. Daum\u00e9 III","year":"2005","unstructured":"Daum\u00e9, H. III, & Marcu, D. (2005). A Bayesian model for supervised clustering with the dirichlet process prior. Journal of Machine Learning Research, 6, 1551\u20131577.","journal-title":"Journal of Machine Learning Research"},{"key":"9173_CR14","doi-asserted-by":"crossref","unstructured":"Diaz, F. (2005). Regularizing ad hoc retrieval scores. In CIKM \u201905: Proceedings of the 14th ACM international conference on Information and knowledge management (pp. 672\u2013679). New York, NY: ACM.","DOI":"10.1145\/1099554.1099722"},{"issue":"3","key":"9173_CR15","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1093\/comjnl\/32.3.220","volume":"22","author":"A. El Hamdouchi","year":"1989","unstructured":"El-Hamdouchi, A., & Willett, P. (1989). Comparison of hierarchic agglomerative clustering methods for document retrieval. The Computer Journal, 22(3), 220\u2013227.","journal-title":"The Computer Journal"},{"key":"9173_CR16","volume-title":"Game theory","author":"D. Fudenberg","year":"1983","unstructured":"Fudenberg, D., & Tirole, J. (1983). Game Theory. Cambridge: MIT Press."},{"key":"9173_CR17","doi-asserted-by":"crossref","unstructured":"Fuhr, N. (2008). A probability ranking principle for interactive information retrieval. Information Retrieval, 11(3), 251\u2013265. http:\/\/dx.doi.org\/10.1007\/s10791-008-9045-0.","DOI":"10.1007\/s10791-008-9045-0"},{"key":"9173_CR18","doi-asserted-by":"crossref","unstructured":"Fuhr, N., & Buckley, C. (1990). Probabilistic document indexing from relevance feedback data. In Proceedings of the 13th international conference on research and development in information retrieval (pp. 45\u201361). New York.","DOI":"10.1145\/96749.98008"},{"key":"9173_CR19","unstructured":"Gabrilovich, E., & Markovitch, S. (2007). Computing semantic relatedness using Wikipedia-based explicit semantic analysis. In Proceedings of IJCAI\u201907 (pp. 1606\u20131611). San Francisco, USA: Morgan Kaufmann Publishers."},{"key":"9173_CR20","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1142\/9789812832153_0003","volume-title":"Clustering and classification","author":"G. Gordon","year":"1996","unstructured":"Gordon, G. (1996). Hierarchical classification. In P. Arabie, L. Hubert, & G. Soete (Eds.), Clustering and classification (pp. 65\u2013121). Singapore: World Scientific."},{"key":"9173_CR21","unstructured":"He, X., Cai, D., Liu, H., & Ma, W.-Y. (2001). Locality preserving indexing for document representation. In Proceedings SIGIR \u201904."},{"key":"9173_CR22","doi-asserted-by":"crossref","unstructured":"Hearst, M., & Pedersen, J. (1996). Reexamining the cluster hypothesis: Scatter\/gather on retrieval results. In Proceedings of SIGIR \u201996 (pp. 76\u201384). ACM Press.","DOI":"10.1145\/243199.243216"},{"key":"9173_CR23","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1145\/567498.567525","volume":"45","author":"M. Hearst","year":"2002","unstructured":"Hearst, M., Elliott, A., English, J., Sinha, R., Swearingen, K., & Yee, K.-P. (2002). Finding the flow in web site search. Communications of the ACM, 45, 42\u201349.","journal-title":"Communications of the ACM"},{"key":"9173_CR24","doi-asserted-by":"crossref","unstructured":"Hearst, M. A., & Stoica, E. (2009). Nlp support for faceted navigation in scholarly collections. In Proceedings of the 2009 workshop on text and citation analysis for scholarly digital libraries (pp. 62\u201370). Morristown, NJ, USA: Association for Computational Linguistics.","DOI":"10.3115\/1699750.1699760"},{"key":"9173_CR25","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/A:1007617005950","volume":"42","author":"T. Hofmann","year":"2001","unstructured":"Hofmann, T. (2001). Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42, 177\u2013196.","journal-title":"Machine Learning"},{"key":"9173_CR26","unstructured":"Ivie, E. L. (1966). Search Procedures Based On Measures Of Relatedness Between Documents. PhD thesis, Massachusetts Inst of Technology."},{"issue":"2","key":"9173_CR27","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/0020-0271(70)90061-6","volume":"6","author":"D. M. Jackson","year":"1970","unstructured":"Jackson, D. M. (1970). The construction of retrieval environments and pseudo-classifications based on external relevance. Information Storage and Retrieval, 6(2), 187\u2013219.","journal-title":"Information Storage and Retrieval"},{"issue":"5","key":"9173_CR28","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/0020-0271(71)90051-9","volume":"7","author":"N. Jardine","year":"1971","unstructured":"Jardine, N., & van Rijsbergen, C. (1971). The use of hierarchical clustering in information retrieval. Information Storage and Retrieval, 7(5), 217\u2013240.","journal-title":"Information Storage and Retrieval"},{"key":"9173_CR29","doi-asserted-by":"crossref","unstructured":"Ji, X., & Xu, W. (2006). Document clustering with prior knowledge. In E. N. Efthimiadis, S. T. Dumais, D. Hawking, & K. J\u00e4rvelin (Eds.), SIGIR (pp. 405\u2013412). ACM.","DOI":"10.1145\/1148170.1148241"},{"key":"9173_CR30","doi-asserted-by":"crossref","unstructured":"K\u00e4ki, M. (2005). Findex: search result categories help users when document ranking fails. In Proceedings of the SIGCHI conference on human factors in computing systems, CHI \u201905 (pp. 131\u2013140). New York, NY: ACM.","DOI":"10.1145\/1054972.1054991"},{"key":"9173_CR31","doi-asserted-by":"crossref","unstructured":"Kang, S.-S. (2003). Keyword-based document clustering. In Proceedings of IRAL \u201903 (pp. 132\u2013137). Morristown, NJ: Association for Computational Linguistics.","DOI":"10.3115\/1118935.1118952"},{"key":"9173_CR32","doi-asserted-by":"crossref","unstructured":"Kanoulas, E., Pavlu, V., Dai, K., & Aslam, J. A. (2009). Modeling the score distributions of relevant and non-relevant documents. In ICTIR \u201909 (pp. 152\u2013163). Springer.","DOI":"10.1007\/978-3-642-04417-5_14"},{"key":"9173_CR33","doi-asserted-by":"crossref","unstructured":"Ke, W., Sugimoto, C. R., Mostafa, J. (2009). Dynamicity vs. effectiveness: studying online clustering for scatter\/gather. In Proceedings of SIGIR \u201909 (pp. 19\u201326). ACM.","DOI":"10.1145\/1571941.1571947"},{"key":"9173_CR34","unstructured":"Kleinberg, J. (2002). An impossibility theorem for clustering. In Advances in neural information processing systems (NIPS) (pp. 446\u2013453)."},{"key":"9173_CR35","doi-asserted-by":"crossref","unstructured":"Kurland, O. (2008). The opposite of smoothing: a language model approach to ranking query-specific document clusters. In Proceedings of SIGIR \u201908 (pp. 171\u2013178). ACM.","DOI":"10.1145\/1390334.1390366"},{"key":"9173_CR36","doi-asserted-by":"crossref","unstructured":"Kurland, O., & Lee, L. (2006). Respect my authority!: Hits without hyperlinks, utilizing cluster-based language models. In SIGIR \u201906: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (pp. 83\u201390). New York, NY: ACM.","DOI":"10.1145\/1148170.1148188"},{"key":"9173_CR37","doi-asserted-by":"crossref","unstructured":"Kurland, O., & Domshlak, C. (2008). A rank-aggregation approach to searching for optimal query-specific clusters. In SIGIR \u201908 (pp. 547\u2013554). New York, NY: ACM.","DOI":"10.1145\/1390334.1390428"},{"key":"9173_CR38","doi-asserted-by":"crossref","unstructured":"Lee, K. S., Croft, W. B., & Allan, J. (2008). A cluster-based resampling method for pseudo-relevance feedback. In Proceedings of SIGIR\u201908 (pp. 235\u2013242). ACM.","DOI":"10.1145\/1390334.1390376"},{"key":"9173_CR39","doi-asserted-by":"crossref","unstructured":"Leuski, A. (2001). Evaluating document clustering for interactive information retrieval. In CIKM \u201901: Proceedings of the tenth international conference on Information and knowledge management (pp. 33\u201340). New York, NY: ACM.","DOI":"10.1145\/502585.502592"},{"key":"9173_CR40","first-page":"361","volume":"5","author":"D. D. Lewis","year":"2004","unstructured":"Lewis, D. D., Yang, Y., Rose, T. G., & Li, F. (2004). Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5, 361\u2013397.","journal-title":"Journal of Machine Learning Research"},{"issue":"7","key":"9173_CR41","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1109\/TKDE.2007.1066","volume":"19","author":"W. Li","year":"2007","unstructured":"Li, W., Ng, W.-K., Liu, Y., & Ong, K.-L. (2007). Enhancing the effectiveness of clustering with spectra analysis. IEEE Transactions on Knowledge and Data Engineering, 19(7), 887\u2013902.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"1","key":"9173_CR42","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1016\/j.datak.2007.08.001","volume":"64","author":"Y. Li","year":"2008","unstructured":"Li, Y., Chung, S. M., & Holt, J. D. (2008). Text document clustering based on frequent word meaning sequences. Data Knowledge Engineering, 64(1), 381\u2013404.","journal-title":"Data Knowledge Engineering"},{"key":"9173_CR43","doi-asserted-by":"crossref","unstructured":"Liu, X., & Croft, W. (2004). Cluster-based retrieval using language models. In Proceedings of SIGIR \u201904 (pp. 186\u2013193). New York, NY: ACM.","DOI":"10.1145\/1008992.1009026"},{"key":"9173_CR44","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, W., Lin, Y., & Jing, L. (2008). Spectral geometry for simultaneously clustering and ranking query search results. In Proceedings of SIGIR \u201908 (pp. 539\u2013546). ACM.","DOI":"10.1145\/1390334.1390427"},{"key":"9173_CR45","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to information retrieval","author":"C. D. Manning","year":"2008","unstructured":"Manning, C. D., Raghavan, P., & Sch\u00fctze, H. (2008). Introduction to information retrieval. New York: Cambridge University Press."},{"issue":"3","key":"9173_CR46","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/BF01582226","volume":"67","author":"H. Nagamochi","year":"1994","unstructured":"Nagamochi, H., Ono, T., & Ibaraki, T. (1994). Implementing an efficient minimum capacity cut algorithm. Mathematical Program, 67(3), 325\u2013341.","journal-title":"Mathematical Program"},{"key":"9173_CR47","doi-asserted-by":"crossref","unstructured":"Nottelmann, H., & Fuhr, N. (2003). From retrieval status values to probabilities of relevance for advanced IR applications. Information Retrieval, 6(4).","DOI":"10.1023\/A:1026080230789"},{"key":"9173_CR48","doi-asserted-by":"crossref","unstructured":"Radecki, T. (1977). Mathematical model of time-effective information retrieval system based on the theory of fuzzy sets. 13, 109\u2013116.","DOI":"10.1016\/0306-4573(77)90044-9"},{"issue":"366","key":"9173_CR49","doi-asserted-by":"publisher","first-page":"846","DOI":"10.2307\/2284239","volume":"66","author":"W. M. Rand","year":"1971","unstructured":"Rand, W. M. (1971). Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(366), 846\u2013850.","journal-title":"Journal of the American Statistical Association"},{"key":"9173_CR51","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1108\/eb026647","volume":"33","author":"S. E. Robertson","year":"1977","unstructured":"Robertson, S. E. (1977). The probability ranking principle in IR. Journal of Documentation, 33, 294\u2013304.","journal-title":"Journal of Documentation"},{"key":"9173_CR52","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"P. Rousseeuw","year":"1987","unstructured":"Rousseeuw, P. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53\u201365.","journal-title":"Journal of Computational and Applied Mathematics"},{"volume-title":"The SMART retrieval system\u2013experiments in automatic document processing","year":"1971","key":"9173_CR53","unstructured":"Salton, G. (ed) (1971). The SMART retrieval system\u2013experiments in automatic document processing. Englewood, Cliffs: Prentice Hall."},{"key":"9173_CR54","doi-asserted-by":"crossref","unstructured":"Salton, G., & Buckley, C. (1988). Term weighting approaches in automatic text retrieval. 24(5), 513\u2013523.","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"9173_CR55","first-page":"281","volume-title":"ICTIR, volume 5766 of lecture notes in computer science","author":"M. D. Smucker","year":"2009","unstructured":"Smucker, M. D., & Allan, J. (2009). A new measure of the cluster hypothesis. In L. Azzopardi, G. Kazai, S. E. Robertson, S. M. R\u00fcger, M. Shokouhi, D. Song, & E. Yilmaz, (Eds.), ICTIR, volume 5766 of lecture notes in computer science (pp. 281\u2013288). Berlin: Springer."},{"key":"9173_CR56","volume-title":"Numerical taxonomy","author":"P. H. Sneath","year":"1973","unstructured":"Sneath, P. H., & Sokal, R. R. (1973). Numerical taxonomy. San Francisco: Freeman."},{"issue":"1","key":"9173_CR57","first-page":"91","volume":"20","author":"B. Stein","year":"2008","unstructured":"Stein, B., & Meyer zu Ei\u00dfen, S. (2008). Retrieval models for genre classification. Scandinavian Journal of Information Systems (SJIS), 20(1), 91\u2013117.","journal-title":"Scandinavian Journal of Information Systems (SJIS)"},{"key":"9173_CR58","unstructured":"Stein, B., Meyer zu Ei\u00dfen, S., & Wi\u00dfbrock, F. (2003). On cluster validity and the information need of users. In Proceedings of AIA 03 (pp. 216\u2013221). ACTA Press."},{"issue":"5","key":"9173_CR59","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1007\/s10115-003-0115-8","volume":"6","author":"A. Tombros","year":"2004","unstructured":"Tombros, A., & van Rijsbergen, C. J. (2004). Query-sensitive similarity measures for information retrieval. Knowledge and Information Systems, 6(5), 617\u2013642.","journal-title":"Knowledge and Information Systems"},{"issue":"4","key":"9173_CR60","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/S0306-4573(01)00048-6","volume":"38","author":"A. Tombros","year":"2002","unstructured":"Tombros, A., Villa, R., & Rijsbergen, C. V. (2002). The effectiveness of query-specific hierarchic clustering in information retrieval. Information Processing and Management, 38(4), 559\u2013582.","journal-title":"Information Processing and Management"},{"key":"9173_CR50","volume-title":"Information retrieval","author":"C. J. van Rijsbergen","year":"1979","unstructured":"van Rijsbergen, C. J. (1979). Information retrieval, 2 edn. London: Butterworths.","edition":"2"},{"key":"9173_CR61","doi-asserted-by":"crossref","unstructured":"Voorhees, E. (1985). The cluster hypothesis revisited. In Proceedings of SIGIR\u201985 (pp. 188\u2013196). ACM Press.","DOI":"10.1145\/253495.253524"},{"key":"9173_CR62","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/S0306-4573(00)00057-1","volume":"37","author":"M. Wu","year":"2001","unstructured":"Wu, M., Fuller, M., & Wilkinsonm, R. (2001). Using clustering and classification approaches in interactive retrieval. Information Processing and Management, 37, 459\u2013484.","journal-title":"Information Processing and Management"},{"key":"9173_CR63","doi-asserted-by":"crossref","unstructured":"Xu, W., Liu, X., & Gong, Y. (2003). Document clustering based on non-negative matrix factorization. In Proceedings of SIGIR \u201903 (pp. 267\u2013273). ACM Press.","DOI":"10.1145\/860435.860485"},{"key":"9173_CR64","doi-asserted-by":"crossref","unstructured":"Yee, K.-P., Swearingen, K., Li, K., & Hearst, M. (2003). Faceted metadata for image search and browsing. In Proceedings of the SIGCHI conference on human factors in computing systems, CHI \u201903 (pp. 401\u2013408). New York, NY: ACM.","DOI":"10.1145\/642611.642681"},{"key":"9173_CR65","doi-asserted-by":"crossref","unstructured":"Yongming, G., Dehua, C., & Jiajin, L. (2008). Clustering XML documents by combining content and structure. In ISISE \u201908 (pp. 583\u2013587). IEEE Computer Society.","DOI":"10.1109\/ISISE.2008.301"},{"key":"9173_CR66","unstructured":"Zadeh, R. B., & Ben-David, S. (2009). A uniqueness theorem for clustering. In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence, UAI \u201909, (pp. 639\u2013646). Arlington, Virginia, United States: AUAI Press."},{"key":"9173_CR67","doi-asserted-by":"crossref","unstructured":"Zamir, O., & Etzioni, O. (1999). Grouper: A dynamic clustering interface to web search results. In Proceedings of the 8th international conference on word wide web (pp. 1361\u20131374).","DOI":"10.1016\/S1389-1286(99)00054-7"}],"container-title":["Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-011-9173-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-011-9173-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-011-9173-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-011-9173-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,2]],"date-time":"2024-01-02T15:04:43Z","timestamp":1704207883000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-011-9173-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,7,12]]},"references-count":67,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,4]]}},"alternative-id":["9173"],"URL":"https:\/\/doi.org\/10.1007\/s10791-011-9173-9","relation":{},"ISSN":["1386-4564","1573-7659"],"issn-type":[{"type":"print","value":"1386-4564"},{"type":"electronic","value":"1573-7659"}],"subject":[],"published":{"date-parts":[[2011,7,12]]},"assertion":[{"value":"22 July 2010","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2011","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2011","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}