{"id":"https://openalex.org/W2023635708","doi":"https://doi.org/10.1145/1183471.1183499","title":"Object localization based on directional information case of 2D vector data","display_name":"Object localization based on directional information case of 2D vector data","publication_year":2006,"publication_date":"2006-11-10","ids":{"openalex":"https://openalex.org/W2023635708","doi":"https://doi.org/10.1145/1183471.1183499","mag":"2023635708"},"language":"en","primary_location":{"id":"doi:10.1145/1183471.1183499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183471.1183499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual ACM international symposium on Advances in geographic information 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/A5055713873","display_name":"Stelian Coros","orcid":"https://orcid.org/0000-0001-6604-4784"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Stelian Coros","raw_affiliation_strings":["University of Guelph Guelph, ON, Canada","University of Guelph,Guelph, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Guelph Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"University of Guelph,Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043704455","display_name":"Jingbo Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"JingBo Ni","raw_affiliation_strings":["University of Guelph Guelph, ON, Canada","University of Guelph,Guelph, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Guelph Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"University of Guelph,Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037237628","display_name":"Pascal Matsakis","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pascal Matsakis","raw_affiliation_strings":["University of Guelph Guelph, ON, Canada","University of Guelph,Guelph, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Guelph Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"University of Guelph,Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055713873"],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54320711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"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":0.9977999925613403,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9958999752998352,"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/rectangle","display_name":"Rectangle","score":0.6332350969314575},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5945597887039185},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5827510356903076},{"id":"https://openalex.org/keywords/object-based-spatial-database","display_name":"Object-based spatial database","score":0.5821372866630554},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.5688579082489014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5495046377182007},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.548285186290741},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.537272572517395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48354053497314453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3532933294773102},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3347707986831665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3070111572742462},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.23877185583114624},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18506276607513428}],"concepts":[{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.6332350969314575},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5945597887039185},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5827510356903076},{"id":"https://openalex.org/C153938966","wikidata":"https://www.wikidata.org/wiki/Q3348148","display_name":"Object-based spatial database","level":4,"score":0.5821372866630554},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.5688579082489014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5495046377182007},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.548285186290741},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.537272572517395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48354053497314453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3532933294773102},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3347707986831665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3070111572742462},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.23877185583114624},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18506276607513428},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1183471.1183499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1183471.1183499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W35857118","https://openalex.org/W77186466","https://openalex.org/W1480935954","https://openalex.org/W1489130318","https://openalex.org/W1751031993","https://openalex.org/W1763523588","https://openalex.org/W1976352662","https://openalex.org/W2013882858","https://openalex.org/W2023448752","https://openalex.org/W2033522852","https://openalex.org/W2045288629","https://openalex.org/W2051870742","https://openalex.org/W2062672310","https://openalex.org/W2065562826","https://openalex.org/W2098711454","https://openalex.org/W2132611668","https://openalex.org/W2150622247","https://openalex.org/W2160852876","https://openalex.org/W2168481210","https://openalex.org/W2171330332","https://openalex.org/W3009125560","https://openalex.org/W4233557784","https://openalex.org/W6637835516","https://openalex.org/W7035796332"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2375482868","https://openalex.org/W2377819299","https://openalex.org/W2206548016","https://openalex.org/W4238942784"],"abstract_inverted_index":{"If":[0],"you":[1,32,40,51],"were":[2,189],"told":[3],"that":[4,39,112],"some":[5,17,24],"object":[6,26,152,155],"A":[7],"was":[8],"perfectly":[9],"(or":[10],"somewhat,":[11],"or":[12,162],"not":[13,75,157,203],"at":[14],"all)":[15],"in":[16,29,119,256,273],"direction":[18,62],"d":[19,63],"(e.g.,":[20,105,122],"west,":[21],"above-right)":[22],"of":[23,64,107,149,168,174,193,199,212,219,259,266],"reference":[25,103,151],"B,":[27],"where":[28,58,72],"space":[30,55],"would":[31,41,52,78],"look":[33],"for":[34,86,233,269],"A?":[35],"Cognitive":[36],"experiments":[37],"suggest":[38],"mentally":[42],"build":[43],"a":[44,131,142],"spatial":[45,100,143,234,270],"template.":[46],"Using":[47],"essentially":[48],"angular":[49],"deviation,":[50],"partition":[53],"the":[54,59,84,88,108,120,147,150,154,175,200,210,213,217,257],"into":[56],"regions":[57,71],"relationship":[60,89],"\"in":[61],"B\"":[65],"holds":[66,90],"(to":[67],"various":[68],"extents)":[69],"and":[70,92,134,185,223,244],"it":[73],"does":[74],"hold.":[76],"You":[77],"then":[79],"be":[80,117,179],"able":[81],"to":[82,102,139],"locate":[83],"objects":[85,104],"which":[87],"best,":[91],"find":[93],"A.":[94],"Spatial":[95],"templates,":[96],"therefore,":[97],"represent":[98],"directional":[99],"relationships":[101],"\"east":[106],"post":[109],"office\").":[110],"Note":[111],"other":[113],"names":[114],"can":[115,177],"also":[116],"found":[118],"literature":[121],"fuzzy":[123],"landscape,":[124],"applicability":[125],"structure,":[126],"potential":[127],"field).":[128],"There":[129],"exists":[130],"very":[132],"simple":[133],"yet":[135],"cognitively":[136],"plausible":[137],"way":[138],"mathematically":[140],"model":[141,176,201],"template":[144,235],"without":[145],"sacrificing":[146],"geometry":[148],"(i.e.,":[153],"is":[156,182,202,239,245],"approximated":[158],"through":[159],"its":[160,249],"centroid":[161],"minimum":[163],"bounding":[164],"rectangle).":[165],"In":[166,191,205],"case":[167,192,218,258],"2D":[169,194,220,260],"raster":[170,221],"data,":[171,196],"exact":[172,197],"calculation":[173,198],"easily":[178],"achieved":[180],"but":[181],"computationally":[183],"expensive,":[184],"tractable":[186],"approximation":[187,231],"algorithms":[188],"proposed.":[190],"vector":[195,261],"conceivable.":[204],"previous":[206],"work,":[207],"we":[208],"introduced":[209],"concept":[211],"F-template.":[214],"We":[215],"discussed":[216],"data":[222],"designed,":[224],"based":[225],"on":[226],"this":[227],"concept,":[228],"an":[229],"efficient":[230],"algorithm":[232,238],"computation.":[236],"The":[237],"faster,":[240],"gives":[241],"better":[242],"results,":[243],"more":[246],"flexible":[247],"than":[248],"competitors.":[250],"Here,":[251],"comparable":[252],"advances":[253,264],"are":[254,265],"presented":[255],"data.":[262],"These":[263],"particular":[267],"interest":[268],"query":[271],"processing":[272],"Geographic":[274],"Information":[275],"Systems.":[276]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
