{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:54:30Z","timestamp":1742957670487,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319484716"},{"type":"electronic","value":"9783319484723"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-48472-3_46","type":"book-chapter","created":{"date-parts":[[2016,10,17]],"date-time":"2016-10-17T04:43:13Z","timestamp":1476679393000},"page":"735-751","source":"Crossref","is-referenced-by-count":3,"title":["Enriching Topic Models with DBpedia"],"prefix":"10.1007","author":[{"given":"Alexandru","family":"Todor","sequence":"first","affiliation":[]},{"given":"Wojciech","family":"Lukasiewicz","sequence":"additional","affiliation":[]},{"given":"Tara","family":"Athan","sequence":"additional","affiliation":[]},{"given":"Adrian","family":"Paschke","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,18]]},"reference":[{"key":"46_CR1","doi-asserted-by":"crossref","unstructured":"Andrzejewski, D., Zhu, X., Craven, M.: Incorporating domain knowledge into topic modeling via Dirichlet Forest priors. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 25\u201332. ACM (2009)","DOI":"10.1145\/1553374.1553378"},{"key":"46_CR2","unstructured":"Andrzejewski, D., Zhu, X., Craven, M., Recht, B.: A framework for incorporating general domain knowledge into latent dirichlet allocation using first-order logic. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence, vol. 22, p. 1171 (2011)"},{"key":"46_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1007\/978-3-540-76298-0_52","volume-title":"The Semantic Web","author":"S Auer","year":"2007","unstructured":"Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: a nucleus for a web of open data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudr\u00e9-Mauroux, P. (eds.) ASWC\/ISWC -2007. LNCS, vol. 4825, pp. 722\u2013735. Springer, Heidelberg (2007). doi: 10.1007\/978-3-540-76298-0_52"},{"key":"46_CR4","doi-asserted-by":"crossref","unstructured":"Baker, C.F., Fillmore, C.J., Lowe, J.B.: The berkeley framenet project. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics-Volume 1, pp. 86\u201390. Association for Computational Linguistics (1998)","DOI":"10.3115\/980845.980860"},{"key":"46_CR5","unstructured":"Blei, D., Lafferty, J.: Correlated topic models. Adv. Neural Inf. Process. Syst. 18, 147 (2006)"},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 113\u2013120. ACM (2006)","DOI":"10.1145\/1143844.1143859"},{"key":"46_CR7","first-page":"993","volume":"3","author":"M David","year":"2003","unstructured":"David, M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"46_CR8","unstructured":"Chang, J., Blei, D.M.: Relational topic models for document networks. AIStats 9, 81\u201388 (2009)"},{"key":"46_CR9","unstructured":"Chang, J., Gerrish, S., Wang, C., Boyd-Graber, J.L., Blei, D.M.: Reading tea leaves: how humans interpret topic models. In: Advances in Neural Information Processing Systems, pp. 288\u2013296 (2009)"},{"key":"46_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-3-540-88564-1_15","volume-title":"The Semantic Web - ISWC 2008","author":"C Chemudugunta","year":"2008","unstructured":"Chemudugunta, C., Holloway, A., Smyth, P., Steyvers, M.: Modeling documents by combining semantic concepts with unsupervised statistical learning. In: Sheth, A., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 229\u2013244. Springer, Heidelberg (2008). doi: 10.1007\/978-3-540-88564-1_15"},{"key":"46_CR11","doi-asserted-by":"crossref","unstructured":"Daiber, J., Jakob, M., Hokamp, C., Mendes, P.N.: Improving efficiency and accuracy in multilingual entity extraction. In: Proceedings of the 9th International Conference on Semantic Systems (I-Semantics) (2013)","DOI":"10.1145\/2506182.2506198"},{"key":"46_CR12","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1613\/jair.2669","volume":"34","author":"E Gabrilovich","year":"2009","unstructured":"Gabrilovich, E., Markovitch, S.: Wikipedia-based semantic interpretation for natural language processing. J. Artif. Intell. Res. 34, 443\u2013498 (2009)","journal-title":"J. Artif. Intell. Res."},{"key":"46_CR13","unstructured":"Blei, D.M., Griffiths, T.L., Jordan, M.I., Tenenbaum, J.B.: Hierarchical topic models and the nested chinese restaurant process. Adv. Neural Inf. Process. Syst. 16, 17 (2004)"},{"key":"46_CR14","doi-asserted-by":"crossref","unstructured":"Griffiths, T.L., Steyvers, M., Finding scientific topics. Proc. Natl. Acad. Sci. U.S.A. 101, 5228\u20135235 (2004)","DOI":"10.1073\/pnas.0307752101"},{"key":"46_CR15","unstructured":"Hu, Z., Luo, G., Sachan, M., Xing, E., Nie, Z.: Grounding topic models with knowledge bases"},{"key":"46_CR16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.websem.2014.11.001","volume":"31","author":"T Kliegr","year":"2015","unstructured":"Kliegr, T.: Linked hypernyms: enriching dbpedia with targeted hypernym discovery. Web Seman. Sci. Serv. Agents World Wide Web 31, 59\u201369 (2015)","journal-title":"Web Seman. Sci. Serv. Agents World Wide Web"},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Movshovitz-Attias, D., Cohen, W.W.: KB-LDA: Jointly learning a knowledge base of hierarchy, relations, and facts. In: Proceedings of ACL (2015)","DOI":"10.3115\/v1\/P15-1140"},{"key":"46_CR18","doi-asserted-by":"crossref","unstructured":"Newman, D., Chemudugunta, C., Smyth, P.: Statistical entity-topic models. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 680\u2013686. ACM (2006)","DOI":"10.1145\/1150402.1150487"},{"key":"46_CR19","doi-asserted-by":"crossref","unstructured":"Hossein, S., Miller, D.J.: Parsimonious topic models with salient word discovery. IEEE Trans. Knowl. Data Eng. 27(3), 824\u2013837 (2015)","DOI":"10.1109\/TKDE.2014.2345378"}],"container-title":["Lecture Notes in Computer Science","On the Move to Meaningful Internet Systems: OTM 2016 Conferences"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48472-3_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T13:38:48Z","timestamp":1568468328000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48472-3_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319484716","9783319484723"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48472-3_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}