{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T01:09:24Z","timestamp":1778461764653,"version":"3.51.4"},"publisher-location":"Cham","reference-count":45,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030742959","type":"print"},{"value":"9783030742966","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-74296-6_19","type":"book-chapter","created":{"date-parts":[[2021,5,10]],"date-time":"2021-05-10T20:20:47Z","timestamp":1620678047000},"page":"240-254","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8777-2780","authenticated-orcid":false,"given":"Mohamad Yaser","family":"Jaradeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5054-9881","authenticated-orcid":false,"given":"Kuldeep","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5492-3212","authenticated-orcid":false,"given":"Markus","family":"Stocker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9177-5463","authenticated-orcid":false,"given":"Andreas","family":"Both","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0698-2864","authenticated-orcid":false,"given":"S\u00f6ren","family":"Auer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,5,11]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Angeli, G., Premkumar, M.J.J., Manning, C.D.: Leveraging linguistic structure for open domain information extraction, pp. 344\u2013354. ACL (2015)","DOI":"10.3115\/v1\/P15-1034"},{"key":"19_CR2","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., et al. (eds.) ASWC\/ISWC-2007. LNCS, vol. 4825, pp. 722\u2013735. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-76298-0_52"},{"key":"19_CR3","series-title":"The Information Retrieval Series","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/978-3-319-93935-3_5","volume-title":"Entity-Oriented Search","author":"K Balog","year":"2018","unstructured":"Balog, K.: Entity linking. Entity-Oriented Search. TIRS, vol. 39, pp. 147\u2013188. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93935-3_5"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Bastos, A., et al.: RECON: relation extraction using knowledge graph context in a graph neural network. In: Proceedings of The Web Conference (WWW) (2021)","DOI":"10.1145\/3442381.3449917"},{"key":"19_CR5","doi-asserted-by":"publisher","first-page":"D267","DOI":"10.1093\/nar\/gkh061","volume":"32","author":"O Bodenreider","year":"2004","unstructured":"Bodenreider, O.: The unified medical language system (UMLS): integrating biomedical terminology. Nucleic Acids Res. 32, D267\u2013D270 (2004)","journal-title":"Nucleic Acids Res."},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Both, A., Diefenbach, D., Singh, K., Shekarpour, S., Cherix, D., Lange, C.: Qanary - A methodology for vocabulary-driven open question answering systems, vol. 9678, pp. 625\u2013641 (2016)","DOI":"10.1007\/978-3-319-34129-3_38"},{"key":"19_CR7","unstructured":"Cetto, M., Niklaus, C., Freitas, A., Handschuh, S.: Graphene: semantically-linked propositions in open information extraction. In: Proceedings of the 27th COLING, pp. 2300\u20132311 (2018)"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Clark, K., Manning, C.D.: Deep reinforcement learning for mention-ranking coreference models. In: Proceedings of the 2016 EMNLP, pp. 2256\u20132262 (2016)","DOI":"10.18653\/v1\/D16-1245"},{"issue":"12","key":"19_CR9","first-page":"2281","volume":"20","author":"W Cui","year":"2014","unstructured":"Cui, W., Liu, S., Wu, Z., Wei, H.: How hierarchical topics evolve in large text corpora. IEEE TVCG 20(12), 2281\u20132290 (2014)","journal-title":"IEEE TVCG"},{"key":"19_CR10","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 I-Semantics (2013)","DOI":"10.1145\/2506182.2506198"},{"key":"19_CR11","unstructured":"Delpeuch, A.: OpenTapioca: lightweight entity linking for Wikidata (2019)"},{"key":"19_CR12","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.ipm.2014.10.006","volume":"51","author":"L Derczynski","year":"2015","unstructured":"Derczynski, L., et al.: Analysis of named entity recognition and linking for tweets. Inf. Process. Manage. 51, 32\u201349 (2015)","journal-title":"Inf. Process. Manage."},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Dong, T., Wang, Z., Li, J., Bauckhage, C., Cremers, A.B.: Triple classification using regions and fine-grained entity typing. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 77\u201385 (2019)","DOI":"10.1609\/aaai.v33i01.330177"},{"key":"19_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1007\/978-3-030-00671-6_7","volume-title":"The Semantic Web \u2013 ISWC 2018","author":"M Dubey","year":"2018","unstructured":"Dubey, M., Banerjee, D., Chaudhuri, D., Lehmann, J.: EARL: joint entity and relation linking for question answering over knowledge graphs. In: Vrande\u010di\u0107, D., et al. (eds.) ISWC 2018. LNCS, vol. 11136, pp. 108\u2013126. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00671-6_7"},{"key":"19_CR15","unstructured":"Fader, A., Soderland, S., Etzioni, O.: Identifying relations for open information extraction. In: Proceedings of the 2011 EMNLP, pp. 1535\u20131545, July 2011"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Fensel, D., et al.: Towards LarKC: a platform for web-scale reasoning. In: IEEE ICSC, pp. 524\u2013529 (2008)","DOI":"10.1109\/ICSC.2008.41"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Ferragina, P., Scaiella, U.: TAGME: on-the-fly annotation of short text fragments (by wikipedia entities), pp. 1625\u20131628 (2010)","DOI":"10.1145\/1871437.1871689"},{"key":"19_CR18","unstructured":"Freitas, A., Bermeitinger, B., Handschuh, S.: Lambda-3\/pycobalt: coreference resolution in python. https:\/\/github.com\/Lambda-3\/PyCobalt"},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"Garcia, J., et al.: Constructing a shared infrastructure for software architecture analysis and maintenance. In: ICSA (2021)","DOI":"10.1109\/ICSA51549.2021.00022"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Gardent, C., Shimorina, A., Narayan, S., Perez-Beltrachini, L.: Creating training corpora for NLG micro-planners, pp. 179\u2013188 (2017)","DOI":"10.18653\/v1\/P17-1017"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Gashteovski, K., Gemulla, R., del Corro, L.: MinIE: minimizing facts in open information extraction. In: Proceedings of the 2017 EMNLP, pp. 2630\u20132640 (2017)","DOI":"10.18653\/v1\/D17-1278"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Hou, Y., Jochim, C., Gleize, M., Bonin, F., Ganguly, D.: Identification of tasks, datasets, evaluation metrics, and numeric scores for scientific leaderboards construction. In: Proceedings of the 57th ACL, pp. 5203\u20135213 (2019)","DOI":"10.18653\/v1\/P19-1513"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Ibrahim, Y., Riedewald, M., Weikum, G., Zeinalipour-Yazti, D.: Bridging quantities in tables and text. In: 2019 IEEE 35th ICDE, pp. 1010\u20131021 (2019)","DOI":"10.1109\/ICDE.2019.00094"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Jaradeh, M.Y., et al.: Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge. Marina Del K-CAP19 (2019)","DOI":"10.1145\/3360901.3364435"},{"key":"19_CR25","unstructured":"Kertkeidkachorn, N., Ichise, R.: T2kg: an end-to-end system for creating knowledge graph from unstructured text. In: AAAI Workshops, vol. WS-17 (2017)"},{"key":"19_CR26","unstructured":"Kim, J.D., et al.: OKBQA framework for collaboration on developing natural language question answering systems (2017)"},{"key":"19_CR27","doi-asserted-by":"crossref","unstructured":"Liang, S., Stockinger, K., de Farias, T.M., Anisimova, M., Gil, M.: Querying knowledge graphs in natural language (2020)","DOI":"10.21203\/rs.3.rs-70794\/v1"},{"key":"19_CR28","unstructured":"Liu, Y., Zhang, T., Liang, Z., Ji, H., McGuinness, D.: Seq2rdf: an end-to-end application for deriving triples from natural language text (2018)"},{"key":"19_CR29","unstructured":"Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach (2019)"},{"key":"19_CR30","doi-asserted-by":"crossref","unstructured":"Mihindukulasooriya, N., et al.: Leveraging semantic parsing for relation linking over knowledge bases. ISWC (2020)","DOI":"10.1007\/978-3-030-62419-4_23"},{"key":"19_CR31","unstructured":"Morbidoni, C., Polleres, A., Tummarello, G., Le-Phuoc, D.: Semantic web pipes (2007)"},{"key":"19_CR32","unstructured":"Niklaus, C., Cetto, M., Freitas, A., Handschuh, S.: A survey on open information extraction. In: Proceedings of the 27th COLING, pp. 3866\u20133878 (2018)"},{"key":"19_CR33","doi-asserted-by":"crossref","unstructured":"Ponza, M., Del Corro, L., Weikum, G.: Facts that matter. In: Proceedings of the 2018 EMNLP, pp. 1043\u20131048. ACL (2018)","DOI":"10.18653\/v1\/D18-1129"},{"key":"19_CR34","unstructured":"Raghunathan, K., et al.: A multi-pass sieve for coreference resolution. In: EMNLP (2010)"},{"key":"19_CR35","doi-asserted-by":"crossref","unstructured":"Sakor, A., et al.: Old is gold: linguistic driven approach for entity and relation linking of short text, pp. 2336\u20132346. ACL (2019)","DOI":"10.18653\/v1\/N19-1243"},{"key":"19_CR36","doi-asserted-by":"crossref","unstructured":"Sakor, A., Singh, K., Patel, A., Vidal, M.E.: Falcon 2.0: an entity and relation linking tool over wikidata. In: CIKM (2020)","DOI":"10.1145\/3340531.3412777"},{"key":"19_CR37","doi-asserted-by":"crossref","unstructured":"Sanh, V., Wolf, T., Ruder, S.: A hierarchical multi-task approach for learning embeddings from semantic tasks. In: Proceedings of the AAAI, vol. 33, pp. 6949\u20136956 (2019)","DOI":"10.1609\/aaai.v33i01.33016949"},{"key":"19_CR38","doi-asserted-by":"crossref","unstructured":"Singh, K., et al.: Capturing knowledge in semantically-typed relational patterns to enhance relation linking. In: Proceedings of the Knowledge Capture Conference, K-CAP 2017, 4\u20136 December 2017, Austin, TX, USA, pp. 31:1\u201331:8 (2017)","DOI":"10.1145\/3148011.3148031"},{"key":"19_CR39","doi-asserted-by":"crossref","unstructured":"Singh, K., et al.: Why reinvent the wheel: let\u2019s build question answering systems together, pp. 1247\u20131256. WWW 2018 (2018)","DOI":"10.1145\/3178876.3186023"},{"key":"19_CR40","doi-asserted-by":"crossref","unstructured":"Singh, K., et al.: QaldGen: towards microbench marking of question answering systems over knowledge graphs. In: ISWC, pp. 277\u2013292 (2019)","DOI":"10.1007\/978-3-030-30796-7_18"},{"key":"19_CR41","doi-asserted-by":"crossref","unstructured":"Usbeck, R., R\u00f6der, M., et al., N.N.: GERBIL: general entity annotator benchmarking framework. In: Proceedings of the 24th WWW, pp. 1133\u20131143 (2015)","DOI":"10.1145\/2736277.2741626"},{"issue":"10","key":"19_CR42","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1145\/2629489","volume":"57","author":"D Vrande\u010di\u0107","year":"2014","unstructured":"Vrande\u010di\u0107, D., Kr\u00f6tzsch, M.: Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10), 78\u201385 (2014)","journal-title":"Commun. ACM"},{"key":"19_CR43","doi-asserted-by":"crossref","unstructured":"Yang, X., et al.: Learning dynamic context augmentation for global entity linking. In: EMNLP-IJCNLP, pp. 271\u2013281 (2019)","DOI":"10.18653\/v1\/D19-1026"},{"key":"19_CR44","unstructured":"Yao, L., Mao, C., Luo, Y.: KG-BERT: BERT for knowledge graph completion (2019)"},{"key":"19_CR45","doi-asserted-by":"crossref","unstructured":"Yu, W., Li, Z., Zeng, Q., Jiang, M.: Tablepedia: automating pdf table reading in an experimental evidence exploration and analytic system. WWW 2019, pp. 3615\u20133619 (2019)","DOI":"10.1145\/3308558.3314118"}],"container-title":["Lecture Notes in Computer Science","Web Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-74296-6_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:34:05Z","timestamp":1778459645000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-74296-6_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030742959","9783030742966"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-74296-6_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 May 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICWE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Biarritz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icwe2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icwe2021.webengineering.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"128","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":"22","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":"13","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":"17% - 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":"3","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":"4","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6 demo, 1 poster, 3 PhD, and 3 tutorial papers are also included. The conference was held virtually.","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}