{"id":"https://openalex.org/W2985411935","doi":"https://doi.org/10.1145/3360901.3364426","title":"Do your Resources Sound Similar?","display_name":"Do your Resources Sound Similar?","publication_year":2019,"publication_date":"2019-09-23","ids":{"openalex":"https://openalex.org/W2985411935","doi":"https://doi.org/10.1145/3360901.3364426","mag":"2985411935"},"language":"en","primary_location":{"id":"doi:10.1145/3360901.3364426","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360901.3364426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Knowledge Capture","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088909474","display_name":"Abdullah Fathi Ahmed","orcid":"https://orcid.org/0000-0002-0668-0735"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Abdullah Fathi Ahmed","raw_affiliation_strings":["Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052233342","display_name":"Mohamed Ahmed Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohamed Ahmed Sherif","raw_affiliation_strings":["Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038745720","display_name":"Axel-Cyrille Ngonga Ngomo","orcid":"https://orcid.org/0000-0001-7112-3516"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel-Cyrille Ngonga Ngomo","raw_affiliation_strings":["Paderborn University, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Paderborn University, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088909474"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":0.3961,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68355702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.922610342502594},{"id":"https://openalex.org/keywords/levenshtein-distance","display_name":"Levenshtein distance","score":0.694586992263794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685143768787384},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5681554079055786},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5613305568695068},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5516418814659119},{"id":"https://openalex.org/keywords/string-metric","display_name":"String metric","score":0.48783424496650696},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4828784763813019},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4330505132675171},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4213750958442688},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.4101521372795105},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36967790126800537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3682650327682495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3332686126232147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1796242892742157},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.17338290810585022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.17157310247421265},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09939661622047424},{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.09334775805473328}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.922610342502594},{"id":"https://openalex.org/C2777515626","wikidata":"https://www.wikidata.org/wiki/Q496939","display_name":"Levenshtein distance","level":2,"score":0.694586992263794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685143768787384},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5681554079055786},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5613305568695068},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5516418814659119},{"id":"https://openalex.org/C22820288","wikidata":"https://www.wikidata.org/wiki/Q9050568","display_name":"String metric","level":4,"score":0.48783424496650696},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4828784763813019},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4330505132675171},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4213750958442688},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.4101521372795105},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36967790126800537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3682650327682495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3332686126232147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1796242892742157},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.17338290810585022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.17157310247421265},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09939661622047424},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.09334775805473328},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3360901.3364426","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3360901.3364426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Knowledge Capture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1997992","https://openalex.org/W178573792","https://openalex.org/W192652968","https://openalex.org/W1520449809","https://openalex.org/W1540593724","https://openalex.org/W1568705965","https://openalex.org/W1597082186","https://openalex.org/W1994467027","https://openalex.org/W1997927541","https://openalex.org/W2009738501","https://openalex.org/W2015487637","https://openalex.org/W2039001182","https://openalex.org/W2048882500","https://openalex.org/W2050050080","https://openalex.org/W2107799451","https://openalex.org/W2118286367","https://openalex.org/W2139929608","https://openalex.org/W2155476369","https://openalex.org/W2158919277","https://openalex.org/W2164456230","https://openalex.org/W2166559705","https://openalex.org/W2171313960","https://openalex.org/W2239873446","https://openalex.org/W2259910030","https://openalex.org/W2286724461","https://openalex.org/W2321539740","https://openalex.org/W2397994241","https://openalex.org/W2400705412","https://openalex.org/W2403575732","https://openalex.org/W2405356156","https://openalex.org/W2407521136","https://openalex.org/W2615504032","https://openalex.org/W2788608347","https://openalex.org/W2844700002","https://openalex.org/W2952938324","https://openalex.org/W3023250789","https://openalex.org/W3213193971","https://openalex.org/W4285719527","https://openalex.org/W6748630616","https://openalex.org/W6771752040"],"related_works":["https://openalex.org/W3142612588","https://openalex.org/W2808273037","https://openalex.org/W2461708070","https://openalex.org/W2950268498","https://openalex.org/W1505906253","https://openalex.org/W3151292571","https://openalex.org/W1597110170","https://openalex.org/W4280559639","https://openalex.org/W2102443632","https://openalex.org/W2102712128"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,71,97,126,133],"heterogeneous":[4],"datasets":[5,19],"abiding":[6],"by":[7],"the":[8,25,28,44,72,95,124,131],"Linked":[9],"Data":[10,29],"paradigm":[11],"is":[12,20],"published":[13],"everyday.":[14],"Discovering":[15],"links":[16],"between":[17,67],"these":[18,105],"thus":[21],"central":[22],"to":[23,42,60,93],"achieving":[24],"vision":[26],"behind":[27],"Web.":[30],"Declarative":[31],"Link":[32,39],"Discovery":[33],"(LD)":[34],"frameworks":[35,75],"rely":[36,76],"on":[37,78],"complex":[38],"Specification":[40],"(LS)":[41],"express":[43],"conditions":[45],"under":[46],"which":[47],"two":[48,68],"resources":[49,98],"should":[50],"be":[51],"linked.":[52],"Complex":[53],"LS":[54],"combine":[55],"similarity":[56,80,89,96],"measures":[57,81,90],"with":[58,99],"thresholds":[59],"determine":[61],"whether":[62],"a":[63],"given":[64],"predicate":[65],"holds":[66],"resources.":[69],"State":[70],"art":[73],"LD":[74],"mostly":[77],"string-based":[79,88],"such":[82],"as":[83],"Levenshtein":[84],"and":[85,116],"Jaccard.":[86],"However,":[87],"often":[91],"fail":[92],"catch":[94],"phonetically":[100],"similar":[101],"property":[102,106],"values":[103,107],"when":[104],"are":[108],"represented":[109],"using":[110,127],"different":[111],"string":[112],"representation":[113],"(e.g.,":[114],"names":[115],"street":[117],"labels).":[118],"In":[119],"this":[120],"paper,":[121],"we":[122],"evaluate":[123],"impact":[125],"phonetics-based":[128],"similarities":[129],"in":[130],"process":[132],"LD.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}