{"id":"https://openalex.org/W2164097473","doi":"https://doi.org/10.1109/geoinformatics.2010.5567910","title":"A GML compression approach based on on-line semantic clustering","display_name":"A GML compression approach based on on-line semantic clustering","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2164097473","doi":"https://doi.org/10.1109/geoinformatics.2010.5567910","mag":"2164097473"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2010.5567910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2010.5567910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 18th International Conference on Geoinformatics","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/A5033943390","display_name":"Qingting Wei","orcid":"https://orcid.org/0000-0002-8051-8955"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingting Wei","raw_affiliation_strings":["Department of Computer Science and Technology, University of Tongji, Shanghai, China","School of Software, University of Nanchang, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Tongji, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Software, University of Nanchang, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086316879","display_name":"Jihong Guan","orcid":"https://orcid.org/0000-0003-2313-7635"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Guan","raw_affiliation_strings":["Department of Computer Science and Technology, University of Tongji, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Tongji, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033943390"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I141649914"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81621674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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/T11106","display_name":"Data Management and Algorithms","score":0.983299970626831,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8330159783363342},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6734387874603271},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.6206238269805908},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5989787578582764},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.5667876601219177},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5383779406547546},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5298362374305725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46640104055404663},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.46434149146080017},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4445652365684509},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.43664175271987915},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.374123215675354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31144773960113525},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.13536641001701355},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1295735239982605},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.12100398540496826},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.11614874005317688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8330159783363342},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6734387874603271},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.6206238269805908},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5989787578582764},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.5667876601219177},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5383779406547546},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5298362374305725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46640104055404663},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.46434149146080017},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4445652365684509},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.43664175271987915},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.374123215675354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31144773960113525},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.13536641001701355},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1295735239982605},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.12100398540496826},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.11614874005317688},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2010.5567910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2010.5567910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 18th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W166174127","https://openalex.org/W1517592599","https://openalex.org/W1530724797","https://openalex.org/W1566656449","https://openalex.org/W1887246875","https://openalex.org/W2025654968","https://openalex.org/W2047342127","https://openalex.org/W2060108852","https://openalex.org/W2090829963","https://openalex.org/W2090970745","https://openalex.org/W2096064090","https://openalex.org/W2096339352","https://openalex.org/W2102829824","https://openalex.org/W2107745473","https://openalex.org/W2129652681","https://openalex.org/W2148628876","https://openalex.org/W2151447884","https://openalex.org/W2161488606","https://openalex.org/W2161628678","https://openalex.org/W2164447780","https://openalex.org/W2202508117","https://openalex.org/W2902012187","https://openalex.org/W6639494544","https://openalex.org/W6674575981","https://openalex.org/W6682358000","https://openalex.org/W6683504902","https://openalex.org/W6683884340","https://openalex.org/W6756226390"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W3080614128","https://openalex.org/W4381744720","https://openalex.org/W2088378984","https://openalex.org/W1990134912","https://openalex.org/W4200061735","https://openalex.org/W2014120247"],"abstract_inverted_index":{"Geography":[0],"Markup":[1],"Language":[2],"(GML)":[3],"has":[4],"become":[5],"a":[6,66],"de":[7],"facto":[8],"international":[9],"encoding":[10],"standard":[11],"for":[12],"exchanging":[13],"geospatial":[14],"data":[15,28,76,80,97],"among":[16],"heterogeneous":[17],"Geographic":[18],"Information":[19],"Systems":[20],"(GIS).":[21],"Whereas,":[22],"structurally":[23],"redundant":[24],"tags":[25,88],"and":[26,42,89,93,141,144],"textual":[27],"representation":[29],"usually":[30],"inflate":[31],"the":[32,40,72,83,99,116,119,128,135,142,148],"sizes":[33],"of":[34,59,118],"GML":[35,60,67,112,150],"documents":[36,113],"substantially,":[37],"which":[38],"makes":[39],"storage":[41],"transport":[43],"costly.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"an":[50],"effective":[51],"compression":[52,70,102,154],"approach":[53,63,126],"based":[54,81],"on":[55,71,82,103,110],"on-line":[56],"semantic":[57,84],"clustering":[58,79],"documents.":[61],"The":[62],"deals":[64],"with":[65],"document":[68],"under":[69],"fly":[73],"via":[74],"separating":[75],"from":[77,87],"structures,":[78],"similarities":[85],"exploited":[86],"texts,":[90],"dictionary-encoding":[91],"structures":[92],"delta-encoding":[94],"geometric":[95],"coordinate":[96],"before":[98],"general":[100,131],"text":[101,132],"back":[104],"end.":[105],"We":[106],"conduct":[107],"extensive":[108],"experiments":[109],"real":[111],"to":[114,146],"evaluate":[115],"performance":[117],"proposed":[120],"approach.":[121],"Results":[122],"show":[123],"that":[124],"our":[125],"outperforms":[127],"most":[129],"popular":[130],"compressor":[133,139,151],"gzip,":[134],"acknowledged":[136],"best":[137],"XML":[138],"XMill,":[140],"first":[143],"up":[145],"now":[147],"only":[149],"GPress":[152],"in":[153],"ratio.":[155]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}