{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:49:48Z","timestamp":1761709788431,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030653835"},{"type":"electronic","value":"9783030653842"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-65384-2_12","type":"book-chapter","created":{"date-parts":[[2020,12,9]],"date-time":"2020-12-09T11:16:10Z","timestamp":1607512570000},"page":"158-165","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition"],"prefix":"10.1007","author":[{"given":"Anand","family":"Panchbhai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tommaso","family":"Soru","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edgard","family":"Marx","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,12,10]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Network. ISDN Syst. 30(1), 107\u2013117 (1998). Proceedings of the Seventh International World Wide Web Conference","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"12_CR2","unstructured":"Brown, T.B., et al.: Language models are few-shot learners (2020)"},{"key":"12_CR3","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv (2018)"},{"key":"12_CR4","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/978-3-319-69146-6_8","volume-title":"Semantic Web Challenges","author":"D Diefenbach","year":"2017","unstructured":"Diefenbach, D., Singh, K., Maret, P.: WDAqua-core0: a question answering component for the research community. In: Dragoni, M., Solanki, M., Blomqvist, E. (eds.) SemWebEval 2017. CCIS, vol. 769, pp. 84\u201389. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-69146-6_8"},{"key":"12_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/978-3-319-34129-3_19","volume-title":"The Semantic Web. Latest Advances and New Domains","author":"M Dubey","year":"2016","unstructured":"Dubey, M., Dasgupta, S., Sharma, A., H\u00f6ffner, K., Lehmann, J.: AskNow: a framework for natural language query formalization in SPARQL. In: Sack, H., Blomqvist, E., d\u2019Aquin, M., Ghidini, C., Ponzetto, S.P., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9678, pp. 300\u2013316. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-34129-3_19"},{"key":"12_CR6","unstructured":"Hartmann, A.K., Marx, E., Soru, T.: Generating a large dataset for neural question answering over the DBpedia knowledge base. In: Workshop on Linked Data Management, co-located with the W3C WEBBR 2018 (2018)"},{"issue":"2","key":"12_CR7","doi-asserted-by":"publisher","first-page":"167","DOI":"10.3233\/SW-140134","volume":"6","author":"J Lehmann","year":"2015","unstructured":"Lehmann, J., et al.: DBpedia - a large-scale, multilingual knowledge base extracted from Wikipedia. Semant. Web 6(2), 167\u2013195 (2015)","journal-title":"Semant. Web"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Liang, C., Berant, J., Le, Q., Forbus, K.D., Lao, N.: Neural symbolic machines: learning semantic parsers on freebase with weak supervision. arXiv preprint arXiv:1611.00020 (2016)","DOI":"10.18653\/v1\/P17-1003"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Lukovnikov, D., Fischer, A., Lehmann, J., Auer, S.: Neural network-based question answering over knowledge graphs on word and character level. In: Proceedings of the 26th International Conference on World Wide Web, pp. 1211\u20131220 (2017)","DOI":"10.1145\/3038912.3052675"},{"key":"12_CR10","unstructured":"Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: bringing order to the web. Technical report, Stanford InfoLab (1999)"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Shekarpour, S., Marx, E., Ngomo, A., Sina, S.: Semantic interpretation of user queries for question answering on interlinked data. Elsevier-Web Semantics (2015)","DOI":"10.2139\/ssrn.3199174"},{"key":"12_CR12","unstructured":"Shi, J., Cao, S., et al.: KQA pro: a large diagnostic dataset for complex question answering over knowledge base (2020)"},{"key":"12_CR13","unstructured":"Soru, T., et al.: SPARQL as a foreign language. In: 13th International Conference on Semantic Systems (SEMANTiCS 2017) - Posters and Demos (2017)"},{"key":"12_CR14","unstructured":"Soru, T., Marx, E., Valdestilhas, A., Esteves, D., Moussallem, D., Publio, G.: Neural machine translation for query construction and composition. In: 2nd ICML Workshop on Neural Abstract Machines & Program Induction (2018)"},{"key":"12_CR15","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems (2014)"},{"key":"12_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/978-3-319-68204-4_22","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"P Trivedi","year":"2017","unstructured":"Trivedi, P., Maheshwari, G., Dubey, M., Lehmann, J.: LC-QuAD: a corpus for complex question answering over knowledge graphs. In: d\u2019Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 210\u2013218. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68204-4_22"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Unger, C., B\u00fchmann, L., Lehmann, J., Ngonga Ngomo, A.C., Gerber, D., Cimiano, P.: Template-based question answering over RDF data. In: Proceedings of the 21st International Conference on World Wide Web, pp. 639\u2013648 (2012)","DOI":"10.1145\/2187836.2187923"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Usbeck, R., Gusmita, R.H., Saleem, M., Ngonga Ngomo, A.C.: 9th challenge on question answering over linked data (QALD-9). Question Answering over Linked Data 7(1) (2018)","DOI":"10.1007\/978-3-319-69146-6_6"},{"key":"12_CR19","first-page":"1","volume":"7","author":"R Usbeck","year":"2018","unstructured":"Usbeck, R., Ngomo, A.C.N., Conrads, F., R\u00f6der, M., Napolitano, G.: 8th challenge on question answering over linked data (QALD-8). Language 7, 1 (2018)","journal-title":"Language"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, Y., He, S., Liu, K., Zhao, J., et al.: A joint model for question answering over multiple knowledge bases. In: 30th AAAI Conference (2016)","DOI":"10.1609\/aaai.v30i1.10381"},{"issue":"11","key":"12_CR21","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.14778\/3236187.3236192","volume":"11","author":"W Zheng","year":"2018","unstructured":"Zheng, W., Yu, J.X., Zou, L., Cheng, H.: Question answering over knowledge graphs: question understanding via template decomposition. Proc. VLDB Endow. 11(11), 1373\u20131386 (2018)","journal-title":"Proc. VLDB Endow."},{"key":"12_CR22","unstructured":"Zhong, V., Xiong, C., Socher, R.: Seq2SQL: generating structured queries from natural language using reinforcement learning. arXiv preprint arXiv:1709.00103 (2017)"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Zou, L., Huang, R., Wang, H., Yu, J.X., He, W., Zhao, D.: Natural language question answering over RDF: a graph data driven approach. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, pp. 313\u2013324 (2014)","DOI":"10.1145\/2588555.2610525"}],"container-title":["Communications in Computer and Information Science","Knowledge Graphs and Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-65384-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T17:19:12Z","timestamp":1670087952000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-65384-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030653835","9783030653842"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-65384-2_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"10 December 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KGSWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Knowledge Graphs and Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Merida","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kgswc2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.kgswc.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - 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 (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was held online.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}