{"id":"https://openalex.org/W2244547660","doi":"https://doi.org/10.1109/geoinformatics.2015.7378620","title":"Design of mineral deposit prediction expert system based on GIS and answer set programming","display_name":"Design of mineral deposit prediction expert system based on GIS and answer set programming","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2244547660","doi":"https://doi.org/10.1109/geoinformatics.2015.7378620","mag":"2244547660"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2015.7378620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd 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":null,"display_name":"Zengyu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131771","display_name":"Jiangsu Provincial Institute of Geological Survey","ror":"https://ror.org/03zqxr976","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131771"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zengyu Zhao","raw_affiliation_strings":["Geological Survey of Jiangsu Province, Nanjing 210049, China"],"affiliations":[{"raw_affiliation_string":"Geological Survey of Jiangsu Province, Nanjing 210049, China","institution_ids":["https://openalex.org/I4210131771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024312038","display_name":"Huogen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131771","display_name":"Jiangsu Provincial Institute of Geological Survey","ror":"https://ror.org/03zqxr976","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210131771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huogen Chen","raw_affiliation_strings":["Geological Survey of Jiangsu Province, Nanjing 210049, China"],"affiliations":[{"raw_affiliation_string":"Geological Survey of Jiangsu Province, Nanjing 210049, China","institution_ids":["https://openalex.org/I4210131771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028846210","display_name":"Pan Mao","orcid":"https://orcid.org/0000-0001-8239-2359"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Pan","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058377143","display_name":"Zhihu Zhang","orcid":"https://orcid.org/0000-0002-0938-6187"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihu Zhang","raw_affiliation_strings":["China Electronics Technology Group Corp 14th Research Institute, Nanjing, Jiangsu, CN"],"affiliations":[{"raw_affiliation_string":"China Electronics Technology Group Corp 14th Research Institute, Nanjing, Jiangsu, CN","institution_ids":["https://openalex.org/I2800372957"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131771"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08221792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9995999932289124,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9995999932289124,"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":0.9965000152587891,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9940000176429749,"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":0.7162244319915771},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.67461758852005},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.6102146506309509},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6036872267723083},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer set programming","score":0.5754671096801758},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.510330855846405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48623552918434143},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.483994722366333},{"id":"https://openalex.org/keywords/logic-programming","display_name":"Logic programming","score":0.3725901246070862},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3502284288406372},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.312613844871521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162244319915771},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.67461758852005},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.6102146506309509},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6036872267723083},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.5754671096801758},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.510330855846405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48623552918434143},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.483994722366333},{"id":"https://openalex.org/C128838566","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic programming","level":2,"score":0.3725901246070862},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3502284288406372},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.312613844871521},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2015.7378620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2015.7378620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd 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":14,"referenced_works":["https://openalex.org/W6965820","https://openalex.org/W126097151","https://openalex.org/W1498722751","https://openalex.org/W1587191403","https://openalex.org/W1606891084","https://openalex.org/W1903938722","https://openalex.org/W1981534837","https://openalex.org/W2076698873","https://openalex.org/W2092211394","https://openalex.org/W2367561014","https://openalex.org/W4234894275","https://openalex.org/W6600291294","https://openalex.org/W6605054564","https://openalex.org/W6639535287"],"related_works":["https://openalex.org/W2743849214","https://openalex.org/W2395092600","https://openalex.org/W4256616184","https://openalex.org/W2186155471","https://openalex.org/W632005469","https://openalex.org/W2000803355","https://openalex.org/W2921792786","https://openalex.org/W1752292405","https://openalex.org/W1830892038","https://openalex.org/W2388729575"],"abstract_inverted_index":{"The":[0,34,59,112],"past":[1],"mineral":[2,31],"deposit":[3,32,61,83,116],"prediction":[4],"expert":[5,28],"systems":[6],"cannot":[7],"support":[8],"nonmonotonic":[9,64,123],"reasoning.":[10,124],"This":[11],"article":[12],"introduces":[13],"answer":[14,99],"set":[15,100],"programming,":[16],"which":[17],"is":[18,66,118,145,151],"a":[19,119],"well-known":[20],"formalism":[21],"in":[22,68,85,147,154],"artificial":[23],"intelligence,":[24],"to":[25,81,93,97],"design":[26],"an":[27,103],"system":[29,35,149],"for":[30],"prediction.":[33],"includes":[36],"GIS":[37],"spatial":[38],"database,":[39],"fact":[40,43,45],"generator,":[41],"temporary":[42],"library,":[44],"management":[46,50],"module,":[47,51],"knowledge":[48,52,62],"based":[49],"base,":[53],"reasoning":[54,65,95],"machine,":[55],"and":[56,63,91],"explanation":[57],"module.":[58],"incomplete":[60],"supported":[67,146,153],"the":[69,73,86,98,106,133],"system.":[70],"To":[71],"demonstrate":[72],"feasibility":[74],"of":[75,88,105,109,114,122],"our":[76,141,148],"approach,":[77],"we":[78,126,130,139],"illustrate":[79],"how":[80,92],"represent":[82],"information":[84],"form":[87],"logic":[89],"programs":[90],"make":[94],"according":[96],"semantics":[101],"by":[102],"example":[104,121],"prospecting":[107],"model":[108],"porphyrite":[110],"iron.":[111],"processing":[113],"ore":[115],"predicting":[117],"typical":[120],"As":[125],"got":[127],"more":[128],"information,":[129],"found":[131],"that":[132],"original":[134],"conclusion":[135],"was":[136],"wrong,":[137],"then":[138],"revised":[140],"conclusion.":[142],"Such":[143],"behavior":[144],"but":[150],"not":[152],"previous":[155],"similar":[156],"systems.":[157]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}