{"id":"https://openalex.org/W2606000258","doi":"https://doi.org/10.1145/3080546.3080547","title":"Using contexts and constraints for improved geotagging of human trafficking webpages","display_name":"Using contexts and constraints for improved geotagging of human trafficking webpages","publication_year":2017,"publication_date":"2017-05-14","ids":{"openalex":"https://openalex.org/W2606000258","doi":"https://doi.org/10.1145/3080546.3080547","mag":"2606000258"},"language":"en","primary_location":{"id":"doi:10.1145/3080546.3080547","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3080546.3080547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1704.05569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rahul Kapoor","orcid":null},"institutions":[{"id":"https://openalex.org/I144571360","display_name":"Viterbo University","ror":"https://ror.org/039p8pn96","country_code":"US","type":"education","lineage":["https://openalex.org/I144571360"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rahul Kapoor","raw_affiliation_strings":["USC Viterbi School of Engineering"],"affiliations":[{"raw_affiliation_string":"USC Viterbi School of Engineering","institution_ids":["https://openalex.org/I144571360"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mayank Kejriwal","orcid":null},"institutions":[{"id":"https://openalex.org/I144571360","display_name":"Viterbo University","ror":"https://ror.org/039p8pn96","country_code":"US","type":"education","lineage":["https://openalex.org/I144571360"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mayank Kejriwal","raw_affiliation_strings":["USC Viterbi School of Engineering"],"affiliations":[{"raw_affiliation_string":"USC Viterbi School of Engineering","institution_ids":["https://openalex.org/I144571360"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pedro Szekely","orcid":null},"institutions":[{"id":"https://openalex.org/I144571360","display_name":"Viterbo University","ror":"https://ror.org/039p8pn96","country_code":"US","type":"education","lineage":["https://openalex.org/I144571360"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro Szekely","raw_affiliation_strings":["USC Viterbi School of Engineering"],"affiliations":[{"raw_affiliation_string":"USC Viterbi School of Engineering","institution_ids":["https://openalex.org/I144571360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I144571360"],"apc_list":null,"apc_paid":null,"fwci":4.5463,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95136622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9909999966621399,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9876000285148621,"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/geotagging","display_name":"Geotagging","score":0.89410001039505},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5536999702453613},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5310999751091003},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.483599990606308},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4652000069618225},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.4357999861240387},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.4198000133037567},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.375},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.35920000076293945}],"concepts":[{"id":"https://openalex.org/C53605480","wikidata":"https://www.wikidata.org/wiki/Q852595","display_name":"Geotagging","level":2,"score":0.89410001039505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7024000287055969},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5536999702453613},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4544000029563904},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38019999861717224},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.375},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3698999881744385},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3312000036239624},{"id":"https://openalex.org/C2984309518","wikidata":"https://www.wikidata.org/wiki/Q181784","display_name":"Human trafficking","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31769999861717224},{"id":"https://openalex.org/C2985957978","wikidata":"https://www.wikidata.org/wiki/Q492","display_name":"Human memory","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2996000051498413},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C2779777834","wikidata":"https://www.wikidata.org/wiki/Q4202277","display_name":"Enforcement","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25589999556541443},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3080546.3080547","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3080546.3080547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1704.05569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.05569","pdf_url":"https://arxiv.org/pdf/1704.05569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1704.05569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1704.05569","pdf_url":"https://arxiv.org/pdf/1704.05569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W172861654","https://openalex.org/W790941020","https://openalex.org/W1963579188","https://openalex.org/W2117130368","https://openalex.org/W2134150392","https://openalex.org/W2161669948","https://openalex.org/W2222863356","https://openalex.org/W2251896305","https://openalex.org/W2605217525","https://openalex.org/W2784574534","https://openalex.org/W3005740681"],"related_works":["https://openalex.org/W2411679502","https://openalex.org/W2388542308","https://openalex.org/W112343471","https://openalex.org/W1488511360","https://openalex.org/W2388484427","https://openalex.org/W2389567576","https://openalex.org/W1781894645","https://openalex.org/W2392690423","https://openalex.org/W1591904946","https://openalex.org/W2087861504"],"abstract_inverted_index":{"Extracting":[0],"geographical":[1],"tags":[2],"from":[3],"webpages":[4],"is":[5,30,97],"a":[6,31,39,83,91],"well-motiva-ted":[7],"application":[8],"in":[9,43,55,57],"many":[10],"domains.":[11],"In":[12,34,68],"illicit":[13],"domains":[14],"with":[15,24],"unusual":[16],"language":[17],"models,":[18],"like":[19],"human":[20,85,117],"trafficking,":[21],"extracting":[22],"geotags":[23],"both":[25],"high":[26],"precision":[27,75],"and":[28,47,78],"recall":[29],"challenging":[32],"problem.":[33],"this":[35],"paper,":[36],"we":[37],"describe":[38],"geotag":[40],"extraction":[41],"framework":[42,73],"which":[44],"context,":[45],"constraints":[46],"the":[48,72],"openly":[49],"available":[50],"Geonames":[51],"knowledge":[52,104],"base":[53,105],"work":[54],"tandem":[56],"an":[58,102],"Integer":[59],"Linear":[60],"Programming":[61],"(ILP)":[62],"model":[63],"to":[64,90,115],"achieve":[65],"good":[66],"performance.":[67],"preliminary":[69],"empirical":[70],"investigations,":[71],"improves":[74],"by":[76,80,110],"28.57%":[77],"F-measure":[79],"36.9%":[81],"on":[82],"difficult":[84],"trafficking":[86],"geotagging":[87],"task":[88],"compared":[89],"machine":[92],"learning-based":[93],"baseline.":[94],"The":[95],"method":[96],"already":[98],"being":[99],"integrated":[100],"into":[101],"existing":[103],"construction":[106],"system":[107],"widely":[108],"used":[109],"US":[111],"law":[112],"enforcement":[113],"agencies":[114],"combat":[116],"trafficking.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2017-04-28T00:00:00"}