{"id":"https://openalex.org/W4213364430","doi":"https://doi.org/10.1145/3503823.3503899","title":"Entity Resolution in Dissimilarity Spaces","display_name":"Entity Resolution in Dissimilarity Spaces","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4213364430","doi":"https://doi.org/10.1145/3503823.3503899"},"language":"en","primary_location":{"id":"doi:10.1145/3503823.3503899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503823.3503899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"25th Pan-Hellenic Conference on Informatics","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/A5085113815","display_name":"Vassilios S. Verykios","orcid":"https://orcid.org/0000-0002-9758-0819"},"institutions":[{"id":"https://openalex.org/I231025917","display_name":"Hellenic Open University","ror":"https://ror.org/02kq26x23","country_code":"GR","type":"education","lineage":["https://openalex.org/I231025917"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vassilios Verykios","raw_affiliation_strings":["Hellenic Open university, Greece"],"affiliations":[{"raw_affiliation_string":"Hellenic Open university, Greece","institution_ids":["https://openalex.org/I231025917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021354735","display_name":"Dimitrios Karapiperis","orcid":"https://orcid.org/0000-0002-3878-5988"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Karapiperis","raw_affiliation_strings":["International Hellenic University, Greece"],"affiliations":[{"raw_affiliation_string":"International Hellenic University, Greece","institution_ids":["https://openalex.org/I183898223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085113815"],"corresponding_institution_ids":["https://openalex.org/I231025917"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18867647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.768291711807251},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5886132121086121},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5744295120239258},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.54903644323349},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.526890754699707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5268458127975464},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5257022380828857},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4933837950229645},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.48242244124412537},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47891104221343994},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4607817232608795},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4563981890678406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43697136640548706},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.4337610602378845},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.42901816964149475},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4274020791053772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4151035249233246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36352840065956116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1728590726852417},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.16900917887687683},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08468037843704224}],"concepts":[{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.768291711807251},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5886132121086121},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5744295120239258},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.54903644323349},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.526890754699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5268458127975464},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5257022380828857},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4933837950229645},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.48242244124412537},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47891104221343994},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4607817232608795},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4563981890678406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43697136640548706},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.4337610602378845},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.42901816964149475},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4274020791053772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4151035249233246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36352840065956116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1728590726852417},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.16900917887687683},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08468037843704224},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503823.3503899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503823.3503899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"25th Pan-Hellenic Conference on Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1497953515","https://openalex.org/W1932742904","https://openalex.org/W2055843181","https://openalex.org/W2063491776","https://openalex.org/W2097921974","https://openalex.org/W2110990863","https://openalex.org/W2121630583","https://openalex.org/W2141965543","https://openalex.org/W2155162820","https://openalex.org/W2162006472","https://openalex.org/W2325963232","https://openalex.org/W2460772544","https://openalex.org/W2621048125","https://openalex.org/W3014295153","https://openalex.org/W3099883947","https://openalex.org/W4205606066"],"related_works":["https://openalex.org/W3094967175","https://openalex.org/W2166822184","https://openalex.org/W2045263322","https://openalex.org/W2393322642","https://openalex.org/W3096071782","https://openalex.org/W50423144","https://openalex.org/W2031059473","https://openalex.org/W2145863369","https://openalex.org/W2142040641","https://openalex.org/W2187860343"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,12,40,121],"dissimilarity-based":[6],"entity":[7],"resolution":[8],"framework":[9],"that":[10,70],"imposes":[11],"new":[13],"efficient":[14,62],"object":[15,67],"representation":[16,19,116],"scheme.":[17],"This":[18],"relies":[20],"on":[21],"the":[22,25,33,49,53,74,80,86,94,97,115,134,138],"embedding":[23],"of":[24,28,30,35,37,42,55,77,88,96,118,137],"dissimilarity":[26],"space":[27,34],"pairs":[29],"objects":[31,38,51],"to":[32,84,102,132],"distances":[36,78],"from":[39,79],"set":[41],"prototypes.":[43],"These":[44],"prototypes":[45,81],"are":[46,58],"selected":[47],"among":[48],"input":[50],"as":[52],"centers":[54],"clusters":[56],"which":[57],"identified":[59],"through":[60],"an":[61],"clustering":[63],"technique.":[64],"An":[65],"accurate":[66],"similarity":[68,139],"metric":[69,101],"takes":[71],"into":[72],"consideration":[73],"rank":[75],"correlation":[76],"is":[82,112,130],"utilized":[83],"overcome":[85],"curse":[87],"dimensionality":[89],"problem.":[90],"Our":[91],"methodology":[92],"proposes":[93],"use":[95],"generalized":[98],"Hausdorff":[99],"distance":[100],"deal":[103],"with":[104],"those":[105],"cases":[106],"where":[107],"only":[108],"partially":[109,127],"ranked":[110,128],"data":[111,129],"available":[113],"in":[114],"domain":[117],"objects.":[119],"Finally":[120],"locality":[122],"sensitive":[123],"hashing":[124],"approach":[125],"for":[126,141],"applied":[131],"reduce":[133],"high":[135],"complexity":[136],"search":[140],"approximate":[142],"duplicates.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}