{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T07:52:37Z","timestamp":1792741957531,"version":"4.5.0"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030624187","type":"print"},{"value":"9783030624194","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/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":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62419-4_12","type":"book-chapter","created":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T17:13:40Z","timestamp":1604164420000},"page":"201-217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Extending SPARQL with Similarity Joins"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9834-8376","authenticated-orcid":false,"given":"Sebasti\u00e1n","family":"Ferrada","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3955-361X","authenticated-orcid":false,"given":"Benjamin","family":"Bustos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9482-1982","authenticated-orcid":false,"given":"Aidan","family":"Hogan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,11,1]]},"reference":[{"issue":"4","key":"12_CR1","doi-asserted-by":"publisher","first-page":"355","DOI":"10.3233\/SW-2012-0065","volume":"3","author":"R Battle","year":"2012","unstructured":"Battle, R., Kolas, D.: Enabling the geospatial Semantic Web with Parliament and GeoSPARQL. Semantic Web 3(4), 355\u2013370 (2012)","journal-title":"Semantic Web"},{"issue":"5","key":"12_CR2","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1016\/j.jbi.2008.03.004","volume":"41","author":"F Belleau","year":"2008","unstructured":"Belleau, F., Nolin, M.A., Tourigny, N., Rigault, P., Morissette, J.: Bio2RDF: towards a mashup to build bioinformatics knowledge systems. J. Biomed. Inform. 41(5), 706\u2013716 (2008)","journal-title":"J. Biomed. Inform."},{"key":"12_CR3","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1145\/376284.375714","volume":"30","author":"C B\u00f6hm","year":"2001","unstructured":"B\u00f6hm, C., Braunm\u00fcller, B., Krebs, F., Kriegel, H.P.: Epsilon grid order: an algorithm for the similarity join on massive high-dimensional data. SIGMOD Rec. 30, 379\u2013388 (2001)","journal-title":"SIGMOD Rec."},{"key":"12_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1007\/978-3-540-45227-0_50","volume-title":"Database and Expert Systems Applications","author":"C B\u00f6hm","year":"2003","unstructured":"B\u00f6hm, C., Krebs, F.: Supporting KDD applications by the k-nearest neighbor join. In: Ma\u0159\u00edk, V., Retschitzegger, W., \u0160t\u011bp\u00e1nkov\u00e1, O. (eds.) DEXA 2003. LNCS, vol. 2736, pp. 504\u2013516. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/978-3-540-45227-0_50"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Dittrich, J.P., Seeger, B.: GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces. In: Special Interest Group on Knowledge Discovery in Data (SIGKDD), pp. 47\u201356. ACM (2001)","DOI":"10.1145\/502512.502524"},{"issue":"1","key":"12_CR6","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1023\/A:1025026030880","volume":"21","author":"V Dohnal","year":"2003","unstructured":"Dohnal, V., Gennaro, C., Savino, P., Zezula, P.: D-index: distance searching index for metric data sets. Multimedia Tools Appl. 21(1), 9\u201333 (2003)","journal-title":"Multimedia Tools Appl."},{"key":"12_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/978-3-319-68204-4_8","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"S Ferrada","year":"2017","unstructured":"Ferrada, S., Bustos, B., Hogan, A.: IMGpedia: a linked dataset with content-based analysis of wikimedia images. In: d\u2019Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 84\u201393. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68204-4_8"},{"key":"12_CR8","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/978-3-319-67162-8_26","volume-title":"New Trends in Databases and Information Systems","author":"M Galkin","year":"2017","unstructured":"Galkin, M., Vidal, M.-E., Auer, S.: Towards a multi-way similarity join operator. In: Kirikova, M., N\u00f8rv\u00e5g, K., Papadopoulos, G.A., Gamper, J., Wrembel, R., Darmont, J., Rizzi, S. (eds.) ADBIS 2017. CCIS, vol. 767, pp. 267\u2013274. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-67162-8_26"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Giacinto, G.: A nearest-neighbor approach to relevance feedback in content based image retrieval. In: International Conference on Image and Video Retrieval (CIVR), pp. 456\u2013463. ACM, New York (2007)","DOI":"10.1145\/1282280.1282347"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Guerraoui, R., Kermarrec, A., Ruas, O., Ta\u00efani, F.: Fingerprinting big data: the case of KNN graph construction. In: International Conference on Data Engineering (ICDE), pp. 1738\u20131741, April 2019","DOI":"10.1109\/ICDE.2019.00186"},{"key":"12_CR11","unstructured":"Harris, S., Seaborne, A., Prud\u2019hommeaux, E.: SPARQL 1.1 Query Language. W3C Recommendation, March 2013. https:\/\/www.w3.org\/TR\/sparql11-query\/"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Hogan, A., Mellotte, M., Powell, G., Stampouli, D.: Towards fuzzy query-relaxation for RDF. In: Extended Semantic Web Conference (ESWC), pp. 687\u2013702 (2012)","DOI":"10.1007\/978-3-642-30284-8_53"},{"issue":"2","key":"12_CR13","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1145\/1366102.1366104","volume":"33","author":"EH Jacox","year":"2008","unstructured":"Jacox, E.H., Samet, H.: Metric space similarity joins. ACM TODS 33(2), 7 (2008)","journal-title":"ACM TODS"},{"key":"12_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/978-3-540-76298-0_22","volume-title":"The Semantic Web","author":"C Kiefer","year":"2007","unstructured":"Kiefer, C., Bernstein, A., Stocker, M.: The fundamentals of iSPARQL: a virtual triple approach for similarity-based semantic web tasks. In: Aberer, K., et al. (eds.) ASWC\/ISWC -2007. LNCS, vol. 4825, pp. 295\u2013309. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-76298-0_22"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Li, H., Zhang, X., Wang, S.: Reduce pruning cost to accelerate multimedia kNN search over MBRs based index structures. In: 2011 Third International Conference on Multimedia Information Networking and Security, pp. 55\u201359, November 2011","DOI":"10.1109\/MINES.2011.85"},{"key":"12_CR16","unstructured":"Muja, M., Lowe, D.G.: Fast approximate nearest neighbors with automatic algorithm configuration. In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISSAPP), pp. 331\u2013340. INSTICC Press (2009)"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Navarro, G.: Analyzing metric space indexes: what for? In: International Conference on Similarity Search and Applications (SISAP), pp. 3\u201310. IEEE Computer Society, Washington, DC (2009)","DOI":"10.1109\/SISAP.2009.17"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Neumann, T., Moerkotte, G.: Characteristic sets: accurate cardinality estimation for RDF queries with multiple joins. In: International Conference on Data Engineering (ICDE), pp. 984\u2013994 (2011)","DOI":"10.1109\/ICDE.2011.5767868"},{"key":"12_CR19","unstructured":"Ngomo, A.N., Auer, S.: LIMES - a time-efficient approach for large-scale link discovery on the web of data. In: International Joint Conference on Artificial Intelligence (IJCAI), pp. 2312\u20132317 (2011)"},{"key":"12_CR20","unstructured":"Oldakowski, R., Bizer, C.: SemMF: a framework for calculating semantic similarity of objects represented as RDF graphs. In: Poster at ISWC (2005)"},{"issue":"1","key":"12_CR21","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.jda.2008.09.012","volume":"7","author":"R Paredes","year":"2009","unstructured":"Paredes, R., Reyes, N.: Solving similarity joins and range queries in metric spaces with the list of twin clusters. J. Discrete Algorithms 7(1), 18\u201335 (2009)","journal-title":"J. Discrete Algorithms"},{"issue":"3","key":"12_CR22","doi-asserted-by":"publisher","first-page":"16:1","DOI":"10.1145\/1567274.1567278","volume":"34","author":"J P\u00e9rez","year":"2009","unstructured":"P\u00e9rez, J., Arenas, M., Guti\u00e9rrez, C.: Semantics and complexity of SPARQL. ACM TODS 34(3), 16:1\u201316:45 (2009)","journal-title":"ACM TODS"},{"key":"12_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1007\/978-3-319-68288-4_31","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"A Petrova","year":"2017","unstructured":"Petrova, A., Sherkhonov, E., Cuenca Grau, B., Horrocks, I.: Entity comparison in RDF graphs. In: d\u2019Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10587, pp. 526\u2013541. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68288-4_31"},{"issue":"5","key":"12_CR24","doi-asserted-by":"publisher","first-page":"589","DOI":"10.3233\/SW-170285","volume":"9","author":"MA Sherif","year":"2018","unstructured":"Sherif, M.A., Ngomo, A.N.: A systematic survey of point set distance measures for link discovery. Semantic Web 9(5), 589\u2013604 (2018)","journal-title":"Semantic Web"},{"key":"12_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1007\/978-3-642-41062-8_27","volume-title":"Similarity Search and Applications","author":"YN Silva","year":"2013","unstructured":"Silva, Y.N., Pearson, S.S., Cheney, J.A.: Database similarity join for metric spaces. In: Brisaboa, N., Pedreira, O., Zezula, P. (eds.) SISAP 2013. LNCS, vol. 8199, pp. 266\u2013279. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41062-8_27"},{"key":"12_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1007\/978-3-642-04930-9_41","volume-title":"The Semantic Web - ISWC 2009","author":"J Volz","year":"2009","unstructured":"Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Discovering and maintaining links on the web of data. In: Bernstein, A., et al. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 650\u2013665. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-04930-9_41"},{"key":"12_CR27","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. Comm. ACM 57, 78\u201385 (2014)","journal-title":"Comm. ACM"},{"key":"12_CR28","unstructured":"Yianilos, P.N.: Data structures and algorithms for nearest neighbor search in general metric spaces. In: Symposium on Discrete Algorithms (SODA), vol. 93, pp. 311\u2013321 (1993)"},{"key":"12_CR29","doi-asserted-by":"crossref","unstructured":"Zhai, X., Huang, L., Xiao, Z.: Geo-spatial query based on extended SPARQL. In: International Conference on Geoinformatics (GEOINFORMATICS), pp. 1\u20134. IEEE (2010)","DOI":"10.1109\/GEOINFORMATICS.2010.5567605"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web \u2013 ISWC 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62419-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T23:02:26Z","timestamp":1761865346000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62419-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030624187","9783030624194"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62419-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"1 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","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":"2 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"semweb2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iswc2020.semanticweb.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind for the Research Track; single-blind for the Resources and In-use Track","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":"287","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":"81","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":"28% - 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":"3-4","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":"3-7","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":"The conference took place virtually due to the COVID-19 pandemic","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)"}}]}}