{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:06:08Z","timestamp":1742911568019,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031150852"},{"type":"electronic","value":"9783031150869"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-15086-9_17","type":"book-chapter","created":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T08:05:29Z","timestamp":1661846729000},"page":"258-273","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Methodology for\u00a0Aligning Categories from\u00a0Open Government Data Portals to\u00a0a\u00a0Comprehensive Set of\u00a0Categories"],"prefix":"10.1007","author":[{"given":"Higor","family":"Pinto","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raissa","family":"Barcellos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flavia","family":"Bernardini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"Viterbo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,30]]},"reference":[{"issue":"20","key":"17_CR1","doi-asserted-by":"publisher","first-page":"16205","DOI":"10.1007\/s00521-020-04874-y","volume":"32","author":"E Adi","year":"2020","unstructured":"Adi, E., Anwar, A., Baig, Z., Zeadally, S.: Machine learning and data analytics for the IOT. Neural Comput. Appl. 32(20), 16205\u201316233 (2020). https:\/\/doi.org\/10.1007\/s00521-020-04874-y","journal-title":"Neural Comput. Appl."},{"key":"17_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/978-3-030-57599-1_18","volume-title":"Electronic Government","author":"R Barcellos","year":"2020","unstructured":"Barcellos, R., Bernardini, F., Viterbo, J.: A methodology for retrieving datasets from open government data portals using information retrieval and question and answering techniques. In: Viale Pereira, G., et al. (eds.) EGOV 2020. LNCS, vol. 12219, pp. 239\u2013249. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-57599-1_18"},{"key":"17_CR3","unstructured":"Bischof, S., K\u00e4mpgen, B., Harth, A., Polleres, A., Schneider, P.: Open city data pipeline (2017)"},{"key":"17_CR4","unstructured":"CKAN: Ckan data management system documentation. https:\/\/docs.ckan.org\/en\/ckan-1.7.4\/harvesting.html. Accessed 20 Jan 2022"},{"key":"17_CR5","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-90-481-8847-5_10","volume-title":"Theory and Applications of Ontology: Computer Applications","author":"C Fellbaum","year":"2010","unstructured":"Fellbaum, C.: WordNet. In: Poli, R., Healy, M., Kameas, A. (eds.) Theory and Applications of Ontology: Computer Applications, pp. 231\u2013243. Springer, Dordrecht (2010). https:\/\/doi.org\/10.1007\/978-90-481-8847-5_10"},{"key":"17_CR6","unstructured":"Hoshiai, T., Yamane, Y., Nakamura, D., Tsuda, H.: A semantic category matching approach to ontology alignment. In: EON. Citeseer (2004)"},{"key":"17_CR7","unstructured":"Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. arXiv preprint cmp-lg\/9709008 (1997)"},{"key":"17_CR8","doi-asserted-by":"crossref","first-page":"265","DOI":"10.7551\/mitpress\/7287.003.0018","volume":"49","author":"C Leacock","year":"1998","unstructured":"Leacock, C., Chodorow, M.: Combining local context and WordNet similarity for word sense identification. WordNet Electron. Lexical Database 49, 265\u2013283 (1998)","journal-title":"WordNet Electron. Lexical Database"},{"issue":"8","key":"17_CR9","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1109\/TKDE.2006.130","volume":"18","author":"Y Li","year":"2006","unstructured":"Li, Y., McLean, D., Bandar, Z.A., O\u2019Shea, J.D., Crockett, K.: Sentence similarity based on semantic nets and corpus statistics. IEEE Trans. Knowl. Data Eng. 18(8), 1138\u20131150 (2006). https:\/\/doi.org\/10.1109\/TKDE.2006.130","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Lin, D.: Principle-based parsing without overgeneration. In: Proceedings of the 31st Annual Meeting on Association for Computational Linguistics, pp. 112\u2013120. Association for Computational Linguistics (1993)","DOI":"10.3115\/981574.981590"},{"key":"17_CR11","unstructured":"Loper, E., Bird, S.: Natural Language Toolkit. https:\/\/www.nltk.org\/"},{"key":"17_CR12","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"CD Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)"},{"key":"17_CR13","unstructured":"Mihalcea, R., Corley, C., Strapparava, C.: Corpus-based and knowledge-based measures of text semantic similarity. In: Proceedings 21st National Conference on AI - Vol. 1, pp. 775\u2013780. AAAI 2006. AAAI Press (2006)"},{"issue":"4","key":"17_CR14","doi-asserted-by":"publisher","first-page":"101622","DOI":"10.1016\/j.giq.2021.101622","volume":"38","author":"A Nikiforova","year":"2021","unstructured":"Nikiforova, A., Lnenicka, M.: A multi-perspective knowledge-driven approach for analysis of the demand side of the open government data portal. Gov. Inf. Q. 38(4), 101622 (2021)","journal-title":"Gov. Inf. Q."},{"key":"17_CR15","unstructured":"Pawar, A., Mago, V.: Calculating the similarity between words and sentences using a lexical database and corpus statistics. CoRR (2018)"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Pinto, H.d.S., Bernardini, F., Viterbo, J.: How cities categorize datasets in their open data portals: An exploratory analysis. In: Proceedings 19th Annual International Conference Digital Government Research - dg.o 2018, pp. 25:1\u201325:9. ACM, New York, NY, USA (2018)","DOI":"10.1145\/3209281.3209377"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Quarati, A.: Open government data: usage trends and metadata quality. J. Inf. Sci. 01655515211027775 (2021)","DOI":"10.1177\/01655515211027775"},{"issue":"1","key":"17_CR18","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/21.24528","volume":"19","author":"R Rada","year":"1989","unstructured":"Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Trans. Syst. Man Cybern. 19(1), 17\u201330 (1989)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"17_CR19","unstructured":"Resnik, P.: Semantic similarity in a taxonomy: an information-based measure and its application to problems of ambiguity in natural language. CoRR (2011)"},{"issue":"1","key":"17_CR20","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/s10844-020-00608-7","volume":"56","author":"P Sawadogo","year":"2020","unstructured":"Sawadogo, P., Darmont, J.: On data lake architectures and metadata management. J. Intell. Inf. Syst. 56(1), 97\u2013120 (2020). https:\/\/doi.org\/10.1007\/s10844-020-00608-7","journal-title":"J. Intell. Inf. Syst."},{"issue":"1","key":"17_CR21","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.giq.2016.07.001","volume":"34","author":"J Thorsby","year":"2017","unstructured":"Thorsby, J., Stowers, G.N., Wolslegel, K., Tumbuan, E.: Understanding the content and features of open data portals in American cities. Gov. Inf. Q. 34(1), 53\u201361 (2017)","journal-title":"Gov. Inf. Q."},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"Varelas, G., Voutsakis, E., Raftopoulou, P., Petrakis, E.G., Milios, E.E.: Semantic similarity methods in wordnet and their application to information retrieval on the web. In: Proceedings 7th Annual ACM International Workshop on Web Information and Data Management, pp. 10\u201316. ACM (2005)","DOI":"10.1145\/1097047.1097051"},{"key":"17_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/978-3-319-09846-3_9","volume-title":"Linked Open Data \u2013 Creating Knowledge Out of Interlinked Data","author":"S van der Waal","year":"2014","unstructured":"van der Waal, S., W\u0119cel, K., Ermilov, I., Janev, V., Milo\u0161evi\u0107, U., Wainwright, M.: Lifting open data portals to the data web. In: Auer, S., Bryl, V., Tramp, S. (eds.) Linked Open Data \u2013 Creating Knowledge Out of Interlinked Data. LNCS, vol. 8661, pp. 175\u2013195. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-09846-3_9"},{"key":"17_CR24","doi-asserted-by":"crossref","unstructured":"Wu, Z., Palmer, M.: Verbs semantics and lexical selection. In: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, pp. 133\u2013138. Association for Computational Linguistics (1994)","DOI":"10.3115\/981732.981751"},{"key":"17_CR25","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1007\/978-3-662-48319-0_30","volume-title":"Multidisciplinary Social Networks Research","author":"H-C Yang","year":"2015","unstructured":"Yang, H.-C., Lin, C.S., Yu, P.-H.: Toward automatic assessment of the categorization structure of open data portals. In: Wang, L., Uesugi, S., Ting, I.-H., Okuhara, K., Wang, K. (eds.) MISNC 2015. CCIS, vol. 540, pp. 372\u2013380. Springer, Heidelberg (2015). https:\/\/doi.org\/10.1007\/978-3-662-48319-0_30"}],"container-title":["Lecture Notes in Computer Science","Electronic Government"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-15086-9_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T20:30:45Z","timestamp":1727901045000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-15086-9_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031150852","9783031150869"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-15086-9_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"30 August 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EGOV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Electronic Government","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Link\u00f6ping","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2022","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":"egov2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dgsociety.org\/egov-2022\/","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":"78","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":"36","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":"46% - 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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}