{"id":"https://openalex.org/W4399253821","doi":"https://doi.org/10.1145/3661638.3661684","title":"Intelligent Retrieval System for Power Policy Documents Based on Semantic Analysis","display_name":"Intelligent Retrieval System for Power Policy Documents Based on Semantic Analysis","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399253821","doi":"https://doi.org/10.1145/3661638.3661684"},"language":"en","primary_location":{"id":"doi:10.1145/3661638.3661684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661638.3661684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security","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/A5006428192","display_name":"Qingjuan Wang","orcid":"https://orcid.org/0009-0005-1811-5724"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingjuan Wang","raw_affiliation_strings":["Marketing Service Center, State Grid Corporation of China, China"],"affiliations":[{"raw_affiliation_string":"Marketing Service Center, State Grid Corporation of China, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035275887","display_name":"Ruoyun Hu","orcid":"https://orcid.org/0009-0002-1514-283X"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyun Hu","raw_affiliation_strings":["Marketing Service Center, State Grid Corporation of China, China"],"affiliations":[{"raw_affiliation_string":"Marketing Service Center, State Grid Corporation of China, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088151871","display_name":"Gang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Sun","raw_affiliation_strings":["Marketing Service Center, State Grid Corporation of China, China"],"affiliations":[{"raw_affiliation_string":"Marketing Service Center, State Grid Corporation of China, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058693672","display_name":"H. F. Liu","orcid":"https://orcid.org/0009-0002-6535-8137"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Marketing Service Center, State Grid Corporation of China, China"],"affiliations":[{"raw_affiliation_string":"Marketing Service Center, State Grid Corporation of China, China","institution_ids":["https://openalex.org/I17442442"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006428192"],"corresponding_institution_ids":["https://openalex.org/I17442442"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21972505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14276","display_name":"Power Systems and Technologies","score":0.9182999730110168,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14276","display_name":"Power Systems and Technologies","score":0.9182999730110168,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9115999937057495,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9053999781608582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.861648678779602},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7882777452468872},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7262725830078125},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5496264696121216},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5219582915306091},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4599103331565857},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.42892494797706604},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4165537357330322},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.41441068053245544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.408108115196228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.861648678779602},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7882777452468872},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7262725830078125},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5496264696121216},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5219582915306091},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4599103331565857},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.42892494797706604},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4165537357330322},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.41441068053245544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.408108115196228},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3661638.3661684","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661638.3661684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security","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":2,"referenced_works":["https://openalex.org/W2735531900","https://openalex.org/W2922424058"],"related_works":["https://openalex.org/W2572349046","https://openalex.org/W2146885082","https://openalex.org/W2096359267","https://openalex.org/W1981131819","https://openalex.org/W3125756434","https://openalex.org/W2017989738","https://openalex.org/W2186703450","https://openalex.org/W2406556739","https://openalex.org/W2392799717","https://openalex.org/W1966669067"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,19,43,99,106,114,118],"frequent":[4],"release":[5],"and":[6,30,68,74,92,110],"large":[7],"volume":[8],"of":[9,45,61,117],"power":[10,62],"policy":[11,51,63],"documents":[12],"have":[13],"led":[14],"to":[15,84],"common":[16],"issues":[17],"in":[18,32],"application":[20,111],"process,":[21],"including":[22],"time-consuming":[23],"comprehensive":[24,94],"document":[25,28,69],"review,":[26],"inconvenient":[27],"retrieval,":[29],"difficulties":[31],"contentrocesss.":[33],"To":[34],"effectively":[35],"address":[36],"these":[37],"challenges,":[38],"this":[39],"study":[40],"focuses":[41],"on":[42,57,80],"research":[44],"an":[46,58],"intelligent":[47],"retrieval":[48],"system":[49,100],"for":[50,97],"documents.":[52],"Leveraging":[53],"semantic":[54,81],"analysis":[55,82],"technology":[56],"existing":[59],"database":[60],"documents,":[64,98],"user":[65],"query":[66,90,102],"statements":[67],"information":[70],"are":[71,77],"processed.":[72],"Query":[73],"index":[75],"vectors":[76],"generated":[78],"based":[79],"results":[83,103],"achieve":[85],"similarity":[86],"ranking.":[87],"By":[88],"combining":[89],"criteria":[91],"a":[93],"optimization":[95],"algorithm":[96],"yields":[101],"that":[104],"meet":[105],"specified":[107],"conditions.":[108],"Testing":[109],"validation":[112],"indicate":[113],"practical":[115],"effectiveness":[116],"proposed":[119],"methods.":[120]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
