{"id":"https://openalex.org/W2528873518","doi":"https://doi.org/10.1145/2993318.2993334","title":"Don't compare Apples to Oranges","display_name":"Don't compare Apples to Oranges","publication_year":2016,"publication_date":"2016-09-12","ids":{"openalex":"https://openalex.org/W2528873518","doi":"https://doi.org/10.1145/2993318.2993334","mag":"2528873518"},"language":"en","primary_location":{"id":"doi:10.1145/2993318.2993334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2993318.2993334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Semantic Systems","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/A5016620466","display_name":"J\u00f6rg Waitelonis","orcid":"https://orcid.org/0000-0001-7192-7143"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"J\u00f6rg Waitelonis","raw_affiliation_strings":["Hasso-Plattner-Institute, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso-Plattner-Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044396997","display_name":"Henrik J\u00fcrges","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Henrik J\u00fcrges","raw_affiliation_strings":["University of Potsdam, Am Neuen Palais, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam, Am Neuen Palais, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082238675","display_name":"Harald Sack","orcid":"https://orcid.org/0000-0001-7069-9804"},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Harald Sack","raw_affiliation_strings":["Hasso-Plattner-Institute, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"Hasso-Plattner-Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016620466"],"corresponding_institution_ids":["https://openalex.org/I143288331"],"apc_list":null,"apc_paid":null,"fwci":1.7953,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87381891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9988999962806702,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8946321606636047},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8754597902297974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7917539477348328},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6313679218292236},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6096174120903015},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5640984773635864},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5352168083190918},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5144922733306885},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4872535765171051},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.458883136510849},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4538693130016327},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4301770329475403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3736380934715271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36056119203567505},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07615584135055542},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06222105026245117}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8946321606636047},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8754597902297974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7917539477348328},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6313679218292236},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6096174120903015},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5640984773635864},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5352168083190918},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5144922733306885},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4872535765171051},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.458883136510849},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4538693130016327},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4301770329475403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3736380934715271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36056119203567505},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07615584135055542},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06222105026245117},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2993318.2993334","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2993318.2993334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Semantic Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1538632262","https://openalex.org/W1713614699","https://openalex.org/W1854214752","https://openalex.org/W1964189668","https://openalex.org/W2137489006","https://openalex.org/W2144314367","https://openalex.org/W2150822694","https://openalex.org/W2162362997","https://openalex.org/W2250668331","https://openalex.org/W2251786031","https://openalex.org/W2399640664","https://openalex.org/W2402243732","https://openalex.org/W2415809604","https://openalex.org/W2573934886","https://openalex.org/W2902440481","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"In":[0,107],"recent":[1],"years,":[2],"named":[3],"entity":[4],"linking":[5],"(NEL)":[6],"tools":[7,17,53],"were":[8],"primarily":[9],"developed":[10],"as":[11,24,121,123,133,143,145],"general":[12],"approaches,":[13],"whereas":[14],"today":[15],"numerous":[16],"are":[18,149],"focusing":[19],"on":[20,79],"specific":[21],"domains":[22],"such":[23,132],"e.g.":[25],"the":[26,34,43,49,63,68,84,99,112,134,152],"mapping":[27],"of":[28,36,51,98,114,136],"persons":[29],"and":[30,74,94,139],"organizations":[31],"only,":[32],"or":[33,38],"annotation":[35],"locations":[37],"events":[39],"in":[40,67,95,151],"microposts.":[41],"However,":[42],"available":[44,154],"benchmark":[45,76,101,129],"datasets":[46,102],"used":[47,100],"for":[48,118],"evaluation":[50,64,93],"NEL":[52,69],"do":[54],"not":[55],"reflect":[56],"this":[57,108],"focalizing":[58],"trend.":[59],"We":[60],"have":[61],"analyzed":[62],"process":[65],"applied":[66],"benchmarking":[70],"framework":[71,86],"GERBIL":[72,85,155],"[16]":[73],"its":[75],"datasets.":[77],"Based":[78],"these":[80],"insights":[81],"we":[82,110],"extend":[83],"to":[87,104,126],"enable":[88],"a":[89,124,146],"more":[90],"fine":[91],"grained":[92],"deep":[96],"analysis":[97],"according":[103],"different":[105],"emphases.":[106],"paper,":[109],"present":[111],"implementation":[113,142],"an":[115],"adaptive":[116],"filter":[117],"arbitrary":[119],"entities":[120],"well":[122,144],"system":[125],"automatically":[127],"measure":[128],"dataset":[130],"properties,":[131],"extent":[135],"content-related":[137],"ambiguity":[138],"diversity.":[140],"The":[141],"result":[147],"visualization":[148],"integrated":[150],"publicly":[153],"framework.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
