{"id":"https://openalex.org/W2042021320","doi":"https://doi.org/10.1145/1869790.1869801","title":"An efficient location extraction algorithm by leveraging web contextual information","display_name":"An efficient location extraction algorithm by leveraging web contextual information","publication_year":2010,"publication_date":"2010-11-02","ids":{"openalex":"https://openalex.org/W2042021320","doi":"https://doi.org/10.1145/1869790.1869801","mag":"2042021320"},"language":"en","primary_location":{"id":"doi:10.1145/1869790.1869801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1869790.1869801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems","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/A5100955834","display_name":"Teng Qin","orcid":"https://orcid.org/0009-0005-4112-0433"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Qin","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101976295","display_name":"Rong Xiao","orcid":"https://orcid.org/0000-0002-6305-4845"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xiao","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033174228","display_name":"Lei Fang","orcid":"https://orcid.org/0000-0003-2510-1281"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Fang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044651577","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-8608-8482"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4025,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97578348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.8572323322296143},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7562780976295471},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6541183590888977},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5182347297668457},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.49701645970344543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45840126276016235},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45393598079681396},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4465388059616089},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4154413938522339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3770071864128113},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.08247393369674683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8572323322296143},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7562780976295471},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6541183590888977},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5182347297668457},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.49701645970344543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45840126276016235},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45393598079681396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4465388059616089},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4154413938522339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3770071864128113},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.08247393369674683},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1869790.1869801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1869790.1869801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information 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":20,"referenced_works":["https://openalex.org/W1515435652","https://openalex.org/W1521219253","https://openalex.org/W1548663377","https://openalex.org/W1973312357","https://openalex.org/W1979987551","https://openalex.org/W1991383860","https://openalex.org/W2000143567","https://openalex.org/W2047221353","https://openalex.org/W2057737049","https://openalex.org/W2060256944","https://openalex.org/W2096765155","https://openalex.org/W2097682512","https://openalex.org/W2104706955","https://openalex.org/W2131771885","https://openalex.org/W2157093342","https://openalex.org/W2159973364","https://openalex.org/W2184058470","https://openalex.org/W2431495623","https://openalex.org/W3186063679","https://openalex.org/W4247551517"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W3133906981","https://openalex.org/W3006227201","https://openalex.org/W3160627956","https://openalex.org/W2891522332","https://openalex.org/W2595836257","https://openalex.org/W2165504147","https://openalex.org/W2986643010"],"abstract_inverted_index":{"A":[0],"typical":[1],"location":[2,9,13,52],"extraction":[3,53],"approach":[4],"consists":[5],"of":[6,90],"two":[7,35],"steps,":[8],"name":[10],"detection":[11],"and":[12,46,55,69,113],"entity":[14,66],"disambiguation.":[15],"Promising":[16],"results":[17,101],"have":[18],"been":[19],"obtained":[20],"in":[21],"the":[22,44,51,60,64,107],"last":[23],"decade":[24],"based":[25],"on":[26],"natural":[27],"language":[28],"processing":[29],"technologies.":[30],"However,":[31],"there":[32],"are":[33],"still":[34],"challenges":[36],"which":[37],"requires":[38],"further":[39],"investigation:":[40],"1)How":[41],"to":[42,49,58,81,93],"leverage":[43],"prior":[45],"contextual":[47,95],"evidence":[48],"improve":[50],"performance,":[54],"2)":[56],"How":[57],"utilize":[59],"interdependence":[61],"information":[62,96],"between":[63],"named":[65],"recognition":[67],"step":[68],"disambiguation":[70],"step.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"propose":[76],"an":[77],"iterative":[78],"detection-ranking":[79],"framework":[80],"address":[82],"these":[83],"problems":[84],"as":[85,87],"well":[86],"a":[88],"set":[89],"novel":[91],"features":[92],"mine":[94],"from":[97],"web":[98],"resources.":[99],"Experimental":[100],"show":[102],"that":[103],"our":[104],"solution":[105],"outperforms":[106],"state-of-the-art":[108],"approaches,":[109],"including":[110],"Metacarta":[111],"GeoTagger":[112],"Yahoo":[114],"Placemaker.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":10}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
