{"id":"https://openalex.org/W2913178646","doi":"https://doi.org/10.1145/3308558.3313629","title":"TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables","display_name":"TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2913178646","doi":"https://doi.org/10.1145/3308558.3313629","mag":"2913178646"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313629","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313629","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308558.3313629","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001039604","display_name":"Besnik Fetahu","orcid":"https://orcid.org/0000-0002-3343-7992"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Besnik Fetahu","raw_affiliation_strings":["L3S Research Center, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L3S Research Center, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075681290","display_name":"Avishek Anand","orcid":"https://orcid.org/0000-0002-0163-0739"},"institutions":[{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Avishek Anand","raw_affiliation_strings":["L3S Research Center, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L3S Research Center, Germany","institution_ids":["https://openalex.org/I4210136150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036812668","display_name":"Maria Koutraki","orcid":null},"institutions":[{"id":"https://openalex.org/I158675288","display_name":"FIZ Karlsruhe \u2013 Leibniz Institute for Information Infrastructure","ror":"https://ror.org/0387prb75","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I158675288","https://openalex.org/I315704651"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maria Koutraki","raw_affiliation_strings":["FIZ Karlsruhe, AIFB KIT, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FIZ Karlsruhe, AIFB KIT, Germany","institution_ids":["https://openalex.org/I158675288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6152,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94306826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2736","last_page":"2742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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":0.998199999332428,"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":0.9957000017166138,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.7625672817230225},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5229945182800293},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3261878192424774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7625672817230225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5229945182800293},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3261878192424774}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308558.3313629","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313629","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313629","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313629","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1969621019","https://openalex.org/W2022166150","https://openalex.org/W2064675550","https://openalex.org/W2070491211","https://openalex.org/W2092364718","https://openalex.org/W2093189534","https://openalex.org/W2108223890","https://openalex.org/W2118463056","https://openalex.org/W2131744502","https://openalex.org/W2250539671","https://openalex.org/W2560674852","https://openalex.org/W2593390416","https://openalex.org/W2788653116","https://openalex.org/W2911964244","https://openalex.org/W2962756421","https://openalex.org/W2964308564"],"related_works":["https://openalex.org/W4243252198","https://openalex.org/W2135396778","https://openalex.org/W1527862632","https://openalex.org/W2118300983","https://openalex.org/W2112962394","https://openalex.org/W3137189469","https://openalex.org/W2740990710","https://openalex.org/W2384888906","https://openalex.org/W4235530921","https://openalex.org/W2144190808"],"abstract_inverted_index":{"We":[0],"focus":[1],"on":[2,44],"the":[3,33,45,47,50,54],"problem":[4],"of":[5,35,53],"interlinking":[6],"Wikipedia":[7],"tables":[8,28],"with":[9],"fine-grained":[10],"table":[11],"relations:":[12],"equivalent":[13],"and":[14,49],"subPartOf.":[15],"Such":[16],"relations":[17],"allow":[18],"us":[19],"to":[20],"harness":[21],"semantically":[22],"related":[23,27],"information":[24],"by":[25],"accessing":[26],"or":[29],"facts":[30],"therein.":[31],"Determining":[32],"type":[34],"a":[36],"relation":[37],"is":[38],"not":[39],"trivial.":[40],"Relations":[41],"are":[42],"dependent":[43],"schemas,":[46],"cell-values,":[48],"semantic":[51],"overlap":[52],"cell":[55],"values":[56],"in":[57],"tables.":[58]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}