{"id":"https://openalex.org/W2014120247","doi":"https://doi.org/10.4028/www.scientific.net/amr.842.712","title":"Study on Data Compression Algorithm Based on Semantic Analysis","display_name":"Study on Data Compression Algorithm Based on Semantic Analysis","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2014120247","doi":"https://doi.org/10.4028/www.scientific.net/amr.842.712","mag":"2014120247"},"language":"en","primary_location":{"id":"doi:10.4028/www.scientific.net/amr.842.712","doi":"https://doi.org/10.4028/www.scientific.net/amr.842.712","is_oa":true,"landing_page_url":"https://doi.org/10.4028/www.scientific.net/amr.842.712","pdf_url":null,"source":{"id":"https://openalex.org/S67425620","display_name":"Advanced materials research","issn_l":"1022-6680","issn":["1022-6680","1662-8985"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317839","host_organization_name":"Trans Tech Publications","host_organization_lineage":["https://openalex.org/P4310317839"],"host_organization_lineage_names":["Trans Tech Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Materials Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4028/www.scientific.net/amr.842.712","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072341866","display_name":"Hong Qi","orcid":"https://orcid.org/0000-0001-8183-2404","observed_orcids":["https://orcid.org/0000-0001-8183-2404"]},"institutions":[{"id":"https://openalex.org/I187175081","display_name":"Shaanxi University of Technology","ror":"https://ror.org/056m91h77","country_code":"CN","type":"education","lineage":["https://openalex.org/I187175081"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Hong","raw_affiliation_strings":["Shaanxi University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi University of Technology","institution_ids":["https://openalex.org/I187175081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111666083","display_name":"Xiao Lei Lu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I187175081","display_name":"Shaanxi University of Technology","ror":"https://ror.org/056m91h77","country_code":"CN","type":"education","lineage":["https://openalex.org/I187175081"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Lei Lu","raw_affiliation_strings":["Shaanxi University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi University of Technology","institution_ids":["https://openalex.org/I187175081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072341866"],"corresponding_institution_ids":["https://openalex.org/I187175081"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"842","issue":null,"first_page":"712","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-text-compression","display_name":"lossless text compression","score":0.7879999876022339},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"semantic analysis","score":0.722000002861023},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.9419999718666077},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"compression ratio","score":0.7450000047683716}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.9212790727615356},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.8341313600540161},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.7008985877037048},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.6797853708267212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710065007209778},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5536556243896484},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5394943356513977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5106104016304016},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4577009975910187},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4390040934085846},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.43749725818634033},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4297422766685486},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.4106448292732239},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.39516928791999817},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34291979670524597},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.31022053956985474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2816949784755707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1751716136932373},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.16767627000808716},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.128495454788208},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09980744123458862},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.06805136799812317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05902794003486633},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4028/www.scientific.net/amr.842.712","doi":"https://doi.org/10.4028/www.scientific.net/amr.842.712","is_oa":true,"landing_page_url":"https://doi.org/10.4028/www.scientific.net/amr.842.712","pdf_url":null,"source":{"id":"https://openalex.org/S67425620","display_name":"Advanced materials research","issn_l":"1022-6680","issn":["1022-6680","1662-8985"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317839","host_organization_name":"Trans Tech Publications","host_organization_lineage":["https://openalex.org/P4310317839"],"host_organization_lineage_names":["Trans Tech Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Materials Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4028/www.scientific.net/amr.842.712","doi":"https://doi.org/10.4028/www.scientific.net/amr.842.712","is_oa":true,"landing_page_url":"https://doi.org/10.4028/www.scientific.net/amr.842.712","pdf_url":null,"source":{"id":"https://openalex.org/S67425620","display_name":"Advanced materials research","issn_l":"1022-6680","issn":["1022-6680","1662-8985"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317839","host_organization_name":"Trans Tech Publications","host_organization_lineage":["https://openalex.org/P4310317839"],"host_organization_lineage_names":["Trans Tech Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Materials Research","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2162520692","https://openalex.org/W2360913493","https://openalex.org/W2390356165"],"related_works":["https://openalex.org/W2391396390","https://openalex.org/W2352496160","https://openalex.org/W1545905761","https://openalex.org/W2044513990","https://openalex.org/W54111677","https://openalex.org/W3208994403","https://openalex.org/W4392909998","https://openalex.org/W4391335112","https://openalex.org/W2119415219","https://openalex.org/W3151799580"],"abstract_inverted_index":{"As":[0],"a":[1,50],"lossless":[2],"data":[3,52],"compression":[4,24,53,84,98,119],"coding,":[5],"Huffman":[6],"coding":[7],"is":[8,59,78],"widely":[9],"used":[10],"in":[11,61,107],"text":[12,83,118],"compression.":[13],"Nevertheless,":[14],"the":[15,30,40,75,82,97,121],"traditional":[16],"approach":[17],"has":[18,100],"some":[19,43],"deficiencies.":[20],"For":[21],"example,":[22],"same":[23],"on":[25,56],"all":[26],"characters":[27],"may":[28],"overlook":[29],"particularity":[31],"of":[32,42,47,67,85,88,93,120],"keywords":[33,73],"and":[34],"special":[35],"statements":[36],"as":[37,39,74],"well":[38],"regularity":[41],"statements.":[44],"In":[45],"terms":[46],"this":[48,62,108],"situation,":[49],"new":[51,65],"algorithm":[54],"based":[55],"semantic":[57],"analysis":[58],"proposed":[60],"paper.":[63],"The":[64,91],"kind":[66],"method,":[68],"which":[69],"takes":[70],"C":[71,89],"language":[72],"basic":[76],"element,":[77],"created":[79],"for":[80],"solving":[81],"source":[86],"files":[87],"language.":[90],"results":[92],"experiment":[94],"show":[95],"that":[96],"ratio":[99],"been":[101],"improved":[102],"by":[103],"150":[104],"percent":[105],"roughly":[106],"way.":[109],"This":[110],"method":[111],"can":[112],"be":[113],"promoted":[114],"to":[115,117],"apply":[116],"constrained-language.":[122]},"counts_by_year":[],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2016-06-24T00:00:00"}