{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:42:15Z","timestamp":1742913735968,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319635781"},{"type":"electronic","value":"9783319635798"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-63579-8_15","type":"book-chapter","created":{"date-parts":[[2017,8,2]],"date-time":"2017-08-02T05:02:42Z","timestamp":1501650162000},"page":"185-199","source":"Crossref","is-referenced-by-count":1,"title":["An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks"],"prefix":"10.1007","author":[{"given":"Ningning","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Tao","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,3]]},"reference":[{"key":"15_CR1","unstructured":"Maas, A.L., Daly, R.E., Pham, P.T., Huang, D., Ng, A.Y., Potts, C.: Learning word vectors for sentiment analysis. In: ACL (2011)"},{"key":"15_CR2","unstructured":"Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S.: Tensorflow: large-scale machine learning on heterogeneous distributed systems (2016). arXiv preprint arXiv:1603.04467"},{"key":"15_CR3","doi-asserted-by":"crossref","unstructured":"Alec, C., Reynaud-Dela\u00eetre, C., Safar, B.: An ontology-driven approach for semantic annotation of documents with specific concepts. In: ISWC 2016 (2016)","DOI":"10.1007\/978-3-319-34129-3_37"},{"issue":"January","key":"15_CR4","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(January), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Borisov, A., Serdyukov, P., de Rijke, M.: Using metafeatures to increase the effectiveness of latent semantic models in web search. In: WWW, April 2016","DOI":"10.1145\/2872427.2882987"},{"key":"15_CR6","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1002\/asi.23435","volume":"67","author":"W Chebil","year":"2015","unstructured":"Chebil, W., Soualmia, L.F., Omri, M.N., Darmoni, S.J.: Indexing biomedical documents with a possibilistic network. J. Assoc. Inf. Sci. Technol. 67, 928\u2013941 (2015)","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"15_CR7","unstructured":"Dai, A.M., Le, Q.V.: Semi-supervised sequence learning. In: NIPS, pp. 3079\u20133087 (2015)"},{"issue":"6","key":"15_CR8","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"S Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391 (1990)","journal-title":"J. Am. Soc. Inf. Sci."},{"issue":"4","key":"15_CR9","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.websem.2010.11.003","volume":"9","author":"M Fern\u00e1ndez","year":"2011","unstructured":"Fern\u00e1ndez, M., Cantador, I., L\u00f3pez, V., Vallet, D., Castells, P., Motta, E.: Semantically enhanced information retrieval: an ontology-based approach. Web Semant.: Sci. Serv. Agents World Wide Web 9(4), 434\u2013452 (2011)","journal-title":"Web Semant.: Sci. Serv. Agents World Wide Web"},{"issue":"4","key":"15_CR10","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.aei.2014.04.002","volume":"28","author":"GJ Hahm","year":"2014","unstructured":"Hahm, G.J., Yi, M.Y., Lee, J.H., Suh, H.W.: A personalized query expansion approach for engineering document retrieval. Adv. Eng. Inform. 28(4), 344\u2013359 (2014)","journal-title":"Adv. Eng. Inform."},{"issue":"3","key":"15_CR11","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1002\/asi.23420","volume":"67","author":"W G\u00f6dert","year":"2016","unstructured":"G\u00f6dert, W.: An ontology-based model for indexing and retrieval. J. Assoc. Inf. Sci. Technol. 67(3), 594\u2013609 (2016)","journal-title":"J. Assoc. Inf. Sci. Technol."},{"issue":"8","key":"15_CR12","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Hofmann, T.: Probabilistic latent semantic indexing. In: Proceedings of SIGIR, pp. 50\u201357. ACM, August 1999","DOI":"10.1145\/312624.312649"},{"issue":"1","key":"15_CR14","first-page":"132","volume":"50","author":"J Lee","year":"2014","unstructured":"Lee, J., Min, J.K., Oh, A., Chung, C.W.: Effective ranking and search techniques for web resources considering semantic relationships. IPM 50(1), 132\u2013155 (2014)","journal-title":"IPM"},{"issue":"2","key":"15_CR15","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3233\/SW-140134","volume":"6","author":"J Lehmann","year":"2015","unstructured":"Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Bizer, C.: DBpedia-a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. Web 6(2), 167\u2013195 (2015)","journal-title":"Semant. Web"},{"issue":"3","key":"15_CR16","first-page":"430","volume":"52","author":"B Ma","year":"2016","unstructured":"Ma, B., Zhang, N., Liu, G., Li, L., Yuan, H.: Semantic search for public opinions on urban affairs: a probabilistic topic modeling-based approach. IPM 52(3), 430\u2013445 (2016)","journal-title":"IPM"},{"key":"15_CR17","doi-asserted-by":"crossref","unstructured":"Mukherjee, S., Ajmera, J., Joshi, S.: Unsupervised approach for shallow domain ontology construction from corpus. In: Proceedings of WWW, pp. 349\u2013350. ACM, April 2014","DOI":"10.1145\/2567948.2577350"},{"key":"15_CR18","unstructured":"Newman, D., Koilada, N., Lau, J.H., Baldwin, T.: Bayesian text segmentation for index term identification and keyphrase extraction. In: COLING, pp. 2077\u20132092, December 2012"},{"key":"15_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/978-3-319-11915-1_36","volume-title":"The Semantic Web \u2013 ISWC 2014","author":"L Posch","year":"2014","unstructured":"Posch, L.: Enriching ontologies with encyclopedic background knowledge for document indexing. In: Mika, P., et al. (eds.) ISWC 2014. LNCS, vol. 8797, pp. 537\u2013544. Springer, Cham (2014). doi: 10.1007\/978-3-319-11915-1_36"},{"issue":"1","key":"15_CR20","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1108\/eb026526","volume":"28","author":"K Sparck Jones","year":"1972","unstructured":"Sparck Jones, K.: A statistical interpretation of term specificity and its application in retrieval. J. Doc. 28(1), 11\u201321 (1972)","journal-title":"J. Doc."},{"key":"15_CR21","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: NIPS, pp. 3104\u20133112 (2014)"},{"key":"15_CR22","doi-asserted-by":"crossref","unstructured":"Wang, Q., Xu, J., Li, H., Craswell, N.: Regularized latent semantic indexing. In: Proceedings of SIGIR, pp. 685\u2013694. ACM, July 2011","DOI":"10.1145\/2009916.2010008"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Wei, X., Croft, W.B.: LDA-based document models for ad-hoc retrieval. In: Proceedings of SIGIR, pp. 178\u2013185. ACM, August 2006","DOI":"10.1145\/1148170.1148204"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-63579-8_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T01:58:10Z","timestamp":1602640690000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-63579-8_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319635781","9783319635798"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-63579-8_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}