{"id":"https://openalex.org/W4213199951","doi":"https://doi.org/10.1145/3488560.3498532","title":"Query Interpretations from Entity-Linked Segmentations","display_name":"Query Interpretations from Entity-Linked Segmentations","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213199951","doi":"https://doi.org/10.1145/3488560.3498532"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498532","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048038725","display_name":"Vaibhav Kasturia","orcid":null},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vaibhav Kasturia","raw_affiliation_strings":["Martin-Luther-Universit\u00e4t Halle-Wittenberg, Halle, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Martin-Luther-Universit\u00e4t Halle-Wittenberg, Halle, Germany","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020942073","display_name":"Marcel Gohsen","orcid":"https://orcid.org/0000-0002-1020-6745"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Gohsen","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014322854","display_name":"Matthias Hagen","orcid":"https://orcid.org/0000-0002-9733-2890"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Hagen","raw_affiliation_strings":["Martin-Luther-Universit\u00e4t Halle-Wittenberg, Halle, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Martin-Luther-Universit\u00e4t Halle-Wittenberg, Halle, Germany","institution_ids":["https://openalex.org/I68956291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"449","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9945999979972839,"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/T11719","display_name":"Data Quality and Management","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8654251098632812},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6697292327880859},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.6694427132606506},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6439675688743591},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5945995450019836},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5911319255828857},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5570757389068604},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.505673885345459},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4932939410209656},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.48610734939575195},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4383489191532135},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4317697286605835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.390936017036438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3174595534801483},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2599002718925476},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08610811829566956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654251098632812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6697292327880859},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.6694427132606506},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6439675688743591},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5945995450019836},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5911319255828857},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5570757389068604},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.505673885345459},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4932939410209656},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.48610734939575195},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4383489191532135},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4317697286605835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.390936017036438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3174595534801483},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2599002718925476},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08610811829566956},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3488560.3498532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3488560.3498532","pdf_url":null,"source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1983544258","https://openalex.org/W1997189720","https://openalex.org/W2028716813","https://openalex.org/W2055629782","https://openalex.org/W2074783258","https://openalex.org/W2083745421","https://openalex.org/W2093907838","https://openalex.org/W2103196492","https://openalex.org/W2127289991","https://openalex.org/W2135322081","https://openalex.org/W2144886574","https://openalex.org/W2170741935","https://openalex.org/W2230586094","https://openalex.org/W2339832510","https://openalex.org/W2340462169","https://openalex.org/W2516950233","https://openalex.org/W2517031683","https://openalex.org/W2802223636","https://openalex.org/W2902833150","https://openalex.org/W2955701345","https://openalex.org/W2963855739","https://openalex.org/W3033919759","https://openalex.org/W3098350697","https://openalex.org/W3124933699","https://openalex.org/W6649499013","https://openalex.org/W6657531209"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W2124814993","https://openalex.org/W2392799717","https://openalex.org/W2017989738","https://openalex.org/W3125756434","https://openalex.org/W2113390685","https://openalex.org/W1981131819","https://openalex.org/W2146885082"],"abstract_inverted_index":{"Web":[0],"search":[1,75],"queries":[2],"can":[3],"be":[4],"ambiguous:":[5],"is":[6,41],"\"source":[7],"of":[8,24,47,51,83,134],"the":[9,16,39,52,118,156],"nile''":[10],"meant":[11],"to":[12,42,54,111,144],"find":[13],"information":[14],"on":[15,20,67,71,130],"actual":[17],"river":[18],"or":[19],"a":[21,59,93,114,124,131,146,151],"board":[22],"game":[23],"that":[25,96],"name?":[26],"We":[27],"tackle":[28],"this":[29],"problem":[30],"by":[31],"deriving":[32],"entity-based":[33],"query":[34,53,90,137],"interpretations:":[35],"given":[36],"some":[37,81],"query,":[38],"task":[40],"derive":[43],"all":[44,135],"reasonable":[45,119],"ways":[46],"linking":[48,139],"suitable":[49],"parts":[50],"semantically":[55],"compatible":[56],"entities":[57,112],"in":[58,123],"background":[60],"knowledge":[61,115],"base.":[62],"Our":[63],"suggested":[64],"approach":[65,143],"focuses":[66],"effectiveness":[68],"but":[69],"also":[70],"efficiency":[72],"since":[73],"web":[74],"response":[76],"times":[77],"should":[78],"not":[79],"exceed":[80],"hundreds":[82],"milliseconds.":[84],"In":[85],"our":[86,142],"approach,":[87],"we":[88],"use":[89],"segmentation":[91],"as":[92],"pre-processing":[94],"step":[95],"finds":[97],"promising":[98],"segment-based":[99],"\"interpretation":[100],"skeletons''.":[101],"The":[102],"individual":[103],"segments":[104],"from":[105,113],"these":[106],"skeletons":[107],"are":[108,121],"then":[109],"linked":[110],"base":[116],"and":[117],"combinations":[120],"ranked":[122],"final":[125],"step.":[126],"An":[127],"experimental":[128],"comparison":[129],"combined":[132],"corpus":[133],"existing":[136],"entity":[138],"datasets":[140],"shows":[141],"have":[145],"better":[147,152],"interpretation":[148],"accuracy":[149],"at":[150],"run":[153],"time":[154],"than":[155],"previously":[157],"most":[158],"effective":[159],"methods.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
